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'all of us' research project diversifies the storehouse of genetic knowledge.

Results from a DNA sequencer used in the Human Genome Project. National Human Genome Research Institute hide caption

Results from a DNA sequencer used in the Human Genome Project.

A big federal research project aimed at reducing racial disparities in genetic research has unveiled the program's first major trove of results.

"This is a huge deal," says Dr. Joshua Denny , who runs the All of Us program at the National Institutes of Health. "The sheer quantify of genetic data in a really diverse population for the first time creates a powerful foundation for researchers to make discoveries that will be relevant to everyone."

The goal of the $3.1 billion program is to solve a long-standing problem in genetic research: Most of the people who donate their DNA to help find better genetic tests and precision drugs are white.

"Most research has not been representative of our country or the world," Denny says. "Most research has focused on people of European genetic ancestry or would be self-identified as white. And that means there's a real inequity in past research."

For example, researchers "don't understand how drugs work well in certain populations. We don't understand the causes of disease for many people," Denny says. "Our project is to really correct some of those past inequities so we can really understand how we can improve health for everyone."

But the project has also stirred up debate about whether the program is perpetuating misconceptions about the importance of genetics in health and the validity of race as a biological category.

New genetic variations discovered

Ultimately, the project aims to collect detailed health information from more than 1 million people in the U.S., including samples of their DNA.

In a series of papers published in February in the journals Nature , Nature Medicine , and Communications Biology , the program released the genetic sequences from 245,000 volunteers and some analysis of those data.

"What's really exciting about this is that nearly half of those participants are of diverse race or ethnicity," Denny says, adding that researchers found a wealth of genetic diversity.

"We found more than a billion genetic points of variation in those genomes; 275 million variants that we found have never been seen before," Denny says.

"Most of that variation won't have an impact on health. But some of it will. And we will have the power to start uncovering those differences about health that will be relevant really maybe for the first time to all populations," he says, including new genetic variations that play a role in the risk for diabetes .

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Researchers gather health data for 'all of us'.

But one concern is that this kind of research may contribute to a misleading idea that genetics is a major factor — maybe even the most important factor — in health, critics say.

"Any effort to combat inequality and health disparities in society, I think, is a good one," says James Tabery , a bioethicist at the University of Utah. "But when we're talking about health disparities — whether it's black babies at two or more times the risk of infant mortality than white babies, or sky-high rates of diabetes in indigenous communities, higher rates of asthma in Hispanic communities — we know where the causes of those problem are. And those are in our environment, not in our genomes."

Race is a social construct, not a genetic one

Some also worry that instead of helping alleviate racial and ethnic disparities, the project could backfire — by inadvertently reinforcing the false idea that racial differences are based on genetics. In fact, race is a social category, not a biological one.

"If you put forward the idea that different racial groups need their own genetics projects in order to understand their biology you've basically accepted one of the tenants of scientific racism — that races are sufficiently genetically distinct from each other as to be distinct biological entities," says Michael Eisen , a professor of molecular and cell biology at the University of California, Berkeley. "The project itself is, I think, unintentionally but nonetheless really bolstering one of the false tenants of scientific racism."

While Nathaniel Comfort, a medical historian at Johns Hopkins, supports the All of Us program, he also worries it could give misconceptions about genetic differences between races "the cultural authority of science."

Denny disputes those criticisms. He notes the program is collecting detailed non-genetic data too.

"It really is about lifestyle, the environment, and behaviors, as well as genetics," Denny says. "It's about ZIP code and genetic code — and all the factors that go in between."

And while genes don't explain all health problems, genetic variations associated with a person's race can play an important role worth exploring equally, he says.

"Having diverse population is really important because genetic variations do differ by population," Denny says. "If we don't look at everyone, we won't understand how to treat well any individual in front of us."

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New climate and sustainability research efforts will focus on eight ‘Solution Areas’

The Stanford Doerr School of Sustainability will establish new research initiatives under topics including climate, water, energy, food, nature, and cities.

The Stanford Doerr School of Sustainability has selected eight interconnected Solution Areas to focus its research efforts over the next decade. This new research plan amplifies the school’s ability to translate Stanford research into large-scale solutions and inform key decision makers in policy and business.

Selected based on extensive faculty input and assessment of where Stanford can make the most meaningful impact, the eight areas are: climate; water; energy; food; risk, resilience, and adaptation; nature; cities; and platforms and tools for monitoring and decision making. 

“Solution Areas identify and leverage the critical junctions between the most pressing global sustainability challenges and the areas where Stanford has the talent and expertise to find solutions,” said Dean Arun Majumdar. “This collaborative all-campus approach expands and strengthens our commitment to using all the power we have – the knowledge, the education, the talent, the innovation, the resources, the influence – to build a thriving planet for future generations.” 

‘Integrative Projects’ and ‘Flagship Destinations’

In each Solution Area, the school plans to build two types of research initiatives. One type, called Integrative Projects, will be managed by the school’s institutes, including the Stanford Woods Institute for the Environment , the Precourt Institute for Energy , and a planned Sustainable Societies Institute. 

Integrative Projects will be organized around decade-long research themes and dedicated to creating solutions through interdisciplinary collaboration, engagement with partners beyond Stanford, identifying significant knowledge gaps, and understanding systems.

According to Chris Field , the Perry L. McCarty Director of the Stanford Woods Institute for the Environment and a professor in the Stanford Doerr School of Sustainability and the School of Humanities and Sciences , the new commitment to these areas “will provide both resources and coordination that expand Stanford faculty’s capacity to deliver sustainability solutions at scale.” 

A second type of research initiative, called Flagship Destinations, is managed by Stanford’s Sustainability Accelerator . Flagship Destinations are targets for the pace and scale of work to address challenges facing Earth, climate, and society. For example, the school’s first Flagship Destination, announced in 2023 , calls for enabling the removal of billions of tons of planet-warming gases annually from Earth’s atmosphere by the middle of this century. By working backward from sustainability targets in consultation with faculty and external experts, this initiative seeks to rapidly translate Stanford research into policy and technology solutions. Additional Flagship Destinations will be announced later this week.

Whereas Integrative Projects are designed to produce knowledge and evidence that can eventually lead to solutions, Flagship Destination projects are intended to help verify and demonstrate that well-studied solutions can succeed at large scale so they can be launched out of Stanford and implemented for the benefit of humanity and our planet. Scalable solutions nurtured and launched through these projects could take the form of policy frameworks, open-source platforms, nonprofit organizations, new for-profit companies, and ongoing collaborations all committed to addressing pressing sustainability challenges.

“By working together in these Solution Areas across disciplines and with collaborators beyond the university, we maximize our ability to have positive impacts on the timeframe and scale needed for the planet and humanity,” said Scott Fendorf , senior associate dean for integrative initiatives and the Terry Huffington Professor in the Stanford Doerr School of Sustainability. 

Workshops will be held with faculty and external experts to develop research strategies for each Solution Area on a rolling basis. Strategy workshops, opportunities to provide input on future Integrative Projects, and requests for proposals (open to all Stanford faculty) will be announced in the coming months.

Related message from leadership: Read a letter to faculty about the new Solution Areas from Dean Majumdar with Precourt Institute for Energy director William Chueh; Stanford Woods Institute for the Environment director Chris Field; Accelerator faculty director Yi Cui and executive director Charlotte Pera; and Integrative Initiatives associate dean Jenna Davis and senior associate dean Scott Fendorf.

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Stanford’s Sustainability Accelerator adds new targets

The Sustainability Accelerator in the Stanford Doerr School of Sustainability will support work in new areas including energy, climate adaptation, industry, and more.

Solution Areas and research funding

A message from school leadership announcing solutions-oriented and scale-focused research funding opportunities to address pressing sustainability challenges.

Forecasting climate’s impact on a debilitating disease

In Brazil, climate and other human-made environmental changes threaten efforts to fight schistosomiasis, a widespread and debilitating parasitic disease. Stanford and Brazilian researchers have now developed models that can predict how disease risk will shift in response to environmental changes.

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9 Undergraduate Research Projects That Wowed Us This Year

The telegraph. The polio vaccine. The bar code. Light beer. Throughout its history, NYU has been known for innovation, with faculty and alumni in every generation contributing to some of the most notable inventions and scientific breakthroughs of their time. But you don’t wind up in the history books—or peer-reviewed journals—by accident; academic research, like any specialized discipline, takes hard work and lots of practice. 

And at NYU, for students who are interested, that training can start early—including during an undergraduate's first years on campus. Whether through assistantships in faculty labs, summer internships, senior capstones, or independent projects inspired by coursework, undergrad students have many opportunities to take what they’re learning in the classroom and apply it to create original scholarship throughout their time at NYU. Many present their work at research conferences, and some even co-author work with faculty and graduate students that leads to publication. 

As 2023-2024 drew to a close, the NYU News team coordinated with the Office of the Provost to pull together a snapshot of the research efforts that students undertook during this school year. The nine featured here represent just a small fraction of the impressive work we encountered in fields ranging from biology, chemistry, and engineering to the social sciences, humanities, and the arts. 

These projects were presented at NYU research conferences for undergrads, including Migration and Im/Mobility , Pathways for Discovery: Undergraduate Research and Writing Symposium , Social Impact: NYU’s Applied Undergraduate Research Conference , Arts-Based Undergraduate Research Conference , Gallatin Student Research Conference ,  Dreammaker’s Summit , Tandon’s Research Excellence Exhibit , and Global Engagement Symposium . Learn more about these undergrad research opportunities and others.

Jordan Janowski (CAS '24)

Sade Chaffatt (NYU Abu Dhabi '24)

Elsa Nyongesa (GPH, CAS ’24 )

Anthony Offiah (Gallatin ’26)

Kimberly Sinchi (Tandon ’24) and Sarah Moughal (Tandon ’25)

Rohan Bajaj (Stern '24)

Lizette Saucedo (Liberal Studies ’24)

Eva Fuentes (CAS '24)

Andrea Durham (Tandon ’26)

Jordan Janowski (CAS ’24) Major: Biochemistry Thesis title: “Engineering Chirality for Functionality in Crystalline DNA”

Jordan Janowski (CAS '24). Photo by Tracey Friedman

I work in the Structural DNA Nanotechnology Lab, which was founded by the late NYU professor Ned Seeman, who is known as the father of the field. My current projects are manipulating DNA sequences to self-assemble into high order structures.

Essentially, we’re using DNA as a building material, instead of just analyzing it for its biological functions. It constantly amazes me that this is possible.

I came in as a pre-med student, but when I started working in the lab I realized that I was really interested in continuing my research there. I co-wrote a paper with postdoc Dr. Simon Vecchioni who has been a mentor to me and helped me navigate applying to grad school. I’m headed to Scripps Research in the fall. This research experience has led me to explore some of the molecules that make up life and how they could be engineered into truly unnatural curiosities and technologies.

My PI, Prof. Yoel Ohayon , has been super supportive of my place on the  NYU women’s basketball team, which I’m a  member of. He’s been coming to my games since sophomore year, and he’ll text me with the score and “great game!”— it’s been so nice to have that support for my interests beyond the lab.

Anthony Offiah (Gallatin ’26) Concentration: Fashion design and business administration MLK Scholars research project title: “project: DREAMER”

Anthony Offiah (Gallatin '26). Photo by Tracey Friedman

In “project: DREAMER,” I explored how much a person’s sense of fashion is a result of their environment or societal pressures based on their identity. Certain groups are pressured or engineered to present a certain way, and I wanted to see how much of the opposing force—their character, their personality—affected their sense of style. 

This was a summer research project through the MLK Scholars Program . I did ethnographic interviews with a few people, and asked them to co-design their ideal garments with me. They told me who they are, how they identify, and what they like in fashion, and we synthesized that into their dream garments. And then we had a photo shoot where they were empowered to make artistic choices. 

Some people told me they had a hard time conveying their sense of style because they were apprehensive about being the center of attention or of being dissimilar to the people around them. So they chose to conform to protect themselves. And then others spoke about wanting to safeguard the artistic or vulnerable—or one person used the word “feminine”—side of them so they consciously didn’t dress how they ideally would. 

We ended the interviews by stating an objective about how this co-designing process didn’t end with them just getting new clothes—it was about approaching fashion differently than how they started and unlearning how society might put them in a certain box without their approval.  

My concentration in Gallatin is fashion design and business administration. In the industry some clothing is critiqued and some clothing is praised—and navigating that is challenging, because what you like might not be well received. So doing bespoke fashion for just one person is freeing in a sense because you don’t have to worry about all that extra stuff. It’s just the art. And I like being an artist first and thinking about the business second.

Lizette Saucedo (Global Liberal Studies ’24) Major: Politics, rights, and development Thesis title: “Acknowledging and Remembering Deceased Migrants Crossing the U.S.-Mexican Border”

Lizette Saucedo (Global Liberal Studies '24). Photo by Tracey Friedman

My thesis project is on commemorating migrants who are dying on their journey north to cross the U.S.–Mexican border. I look at it through different theoretical lenses, and one of the terms is necropolitics—how politics shapes the way the State governs life and especially death. And then of the main issues aside from the deaths is that a lot of people in the U.S. don’t know about them, due to the government trying to eschew responsibility for migrant suffering. In the final portion of the thesis, I argue for presenting what some researchers call “migrant artifacts”—the personal belongings left behind by people trying to cross over—to the public, so that people can become aware and have more of a human understanding of what’s going on. 

This is my senior thesis for Liberal Studies, but the idea for it started in an International Human Rights course I took with professor Joyce Apsel . We read a book by Jason De León called The Land of the Open Graves , which I kept in the back of my mind. And then when I studied abroad in Germany during my junior year, I noticed all the different memorials and museums, and wondered why we didn’t have the equivalent in the U.S. My family comes from Mexico—my parents migrated—and ultimately all of these interests came together.

I came into NYU through the Liberal Studies program and I loved it. It’s transdisciplinary, which shaped how I view my studies. My major is politics, rights, and development and my minor is social work, but I’ve also studied museum studies, and I’ve always loved the arts. The experience of getting to work one-on-one on this thesis has really fortified my belief that I can combine all those things.

Sade Chaffatt (Abu Dhabi ’24) Major: Biology Thesis title: “The Polycomb repressive component, EED in mouse hepatocytes regulates liver homeostasis and survival following partial hepatectomy.”

Sade Chaffatt (NYU Abu Dhabi '24). Photo courtesy of NYUAD

Imagine your liver as a room. Within the liver there are epigenetic mechanisms that control gene expression. Imagine these epigenetic mechanisms as a dimmer switch, so that you could adjust the light in the room. If we remove a protein that is involved in regulating these mechanisms, there might be dysregulation—as though the light is too bright or too dim. One such protein, EED, plays a crucial role in regulating gene expression. And so my project focuses on investigating whether EED is required in mouse hepatocytes to regulate liver homeostasis and to regulate survival following surgical resection.

Stepping into the field of research is very intimidating when you’re an undergraduate student and know nothing. But my capstone mentor, Dr. Kirsten Sadler , encourages students to present their data at lab meetings and to speak with scientists. Even though this is nerve-wracking, it helps to promote your confidence in communicating science to others in the field.

If you’d asked 16-year-old me, I never would’ve imagined that I’d be doing research at this point. Representation matters a lot, and you often don't see women—especially not Black women—in research. Being at NYUAD has really allowed me to see more women in these spaces. Having had some experience in the medical field through internships, I can now say I’m more interested in research and hope to pursue a PhD in the future.

Kimberly Sinchi (Tandon ’24) Major: Computer Science Sarah Moughal (Tandon ’25) Major: Computer Science Project: Robotic Design Team's TITAN

Sarah Moughal (Tandon '25, left) and Kimberly Sinchi (Tandon '24). Photo by Tracey Friedman

Kimberly: The Robotic Design Team has been active at NYU for at least five years. We’re 60-plus undergrad and grad students majoring in electrical engineering, mechanical engineering, computer science, and integrated design. We’ve named our current project TITAN because of how huge it is. TITAN stands for “Tandon’s innovation in terraforming and autonomous navigation.”

Sarah: We compete in NASA’s lunatics competition every year, which means we build a robot from scratch to be able to compete in lunar excavation and construction. We make pretty much everything in house in the Tandon MakerSpace, and everyone gets a little experience with machining, even if you're not mechanical. A lot of it is about learning how to work with other people—communicating across majors and disciplines and learning how to explain our needs to someone who may not be as well versed in particular technologies as we are. 

Kimberly: With NYU’s Vertically Integrated Project I’ve been able to take what I was interested in and actually have a real world impact with it. NASA takes notes on every Rover that enters this competition. What worked and what didn’t actually influences their designs for rovers they send to the moon and to Mars.

Eva Fuentes (CAS ’24) Major: Anthropology Thesis title: “Examining the relationship between pelvic shape and numbers of lumbar vertebrae in primates”

Eva Fuentes (CAS '24). Photo by Tracey Friedman

I came into NYU thinking I wanted to be an art history major with maybe an archeology minor. To do the archeology minor, you have to take the core classes in anthropology, and so I had to take an intro to human evolution course. I was like, this is the coolest thing I’ve learned—ever. So I emailed people in the department to see if I could get involved. 

Since my sophomore year, I’ve been working in the Evolutionary Morphology Lab with Scott Williams, who is primarily interested in the vertebral column of primates in the fossil record because of how it can inform the evolution of posture and locomotion in humans.

For my senior thesis, I’m looking at the number of lumbar vertebrae—the vertebrae that are in the lower back specifically—and aspects of pelvic shape to see if it is possible to make inferences about the number of lumbar vertebrae a fossil may have had. The bones of the lower back are important because they tell us about posture and locomotion.

I committed to a PhD program at Washington University in St. Louis a few weeks ago to study biological anthropology. I never anticipated being super immersed in the academic world. I don’t come from an academic family. I had no idea what I was doing when I started, but Scott Williams, and everyone in the lab, is extremely welcoming and easy to talk to. It wasn't intimidating to come into this lab at all.

Elsa Nyongesa (GPH, CAS ’24 ) Major: Global Public Health and Biology Project: “Diversity in Breast Oncological Studies: Impacts on Black Women’s Health Outcomes”

Elsa Nyongesa (GPH, CAS '24). Photo by Tracey Friedman

I interned at Weill Cornell Medicine through their Travelers Summer Research Fellowship Program where I worked with my mentor, Dr. Lisa Newman, who is the head of the International Center for the Study of Breast Cancer Subtypes. I analyzed data on the frequency of different types of breast cancer across racial and ethnic groups in New York. At the same time, I was also working with Dr. Rachel Kowolsky to study minority underrepresentation in clinical research. 

In an experiential learning course taught by Professor Joyce Moon Howard in the GPH department, I created a research question based on my internship experience. I thought about how I could combine my experiences from the program which led to my exploration of the correlation between minority underrepresentation in breast oncological studies, and how it affects the health outcomes of Black women with breast cancer.

In my major, we learn about the large scope of health disparities across different groups. This opportunity allowed me to learn more about these disparities in the context of breast cancer research. As a premedical student, this experience broadened my perspective on health. I learned more about the social, economic, and environmental factors influencing health outcomes. It also encouraged me to examine literature more critically to find gaps in knowledge and to think about potential solutions to health problems. Overall, this experience deepened my philosophy of service, emphasizing the importance of health equity and advocacy at the research and clinical level.

Rohan Bajaj (Stern ’24) Major: Finance and statistics Thesis title: “Measuring Socioeconomic Changes and Investor Attitude in Chicago’s Post-Covid Economic Recovery”

Rohan Bajaj (Stern '24). Photo by Tracey Friedman

My thesis is focused on understanding the effects of community-proposed infrastructure on both the socioeconomic demographics of cities and on fiscal health. I’m originally from Chicago, so it made a lot of sense to pay tribute back to the place that raised me. I’m compiling a list of characteristics of infrastructure that has been developed since 2021 as a part of the Chicago Recovery Plan and then assessing how neighborhoods have changed geographically and economically. 

I’m looking at municipal bond yields in Chicago as a way of evaluating the fiscal health of the city. Turns out a lot of community-proposed infrastructure is focused in lower income areas within Chicago rather than higher income areas. So that makes the research question interesting, to see if there’s a correlation between the proposed and developed infrastructure projects, and if these neighborhoods are being gentrified alongside development.

I kind of stumbled into the impact investing industry accidentally from an internship I had during my time at NYU. I started working at a renewable energies brokerage in midtown, where my main job was collecting a lot of market research trends and delivering insights on how these different energy markets would come into play. I then worked with the New York State Insurance Fund, where I helped construct and execute their sustainable investment strategy from the ground up. 

I also took a class called “Design with Climate Change” with Peter Anker in Gallatin during my junior year, and a lot of that class was focused on how to have climate resilient and publicly developed infrastructure, and understanding the effects it has on society. It made me start thinking about the vital role that physical surroundings play in steering communities.

In the short term I want to continue diving into impact-focused investing and help identify urban planners and city government to develop their communities responsibly and effectively.

Andrea Durham (Tandon, ’26)  Major: Biomolecular science Research essay title: “The Rise and Fall of Aduhelm”

Andrea Durham (Tandon '26). Photo by Tracey Friedman

This is an essay I wrote last year in an advanced college essay writing class with Professor Lorraine Doran on the approval of a drug for Alzheimer’s disease called Aduhelm—a monoclonal antibody therapy developed by Biogen in 2021, which was described as being momentous and groundbreaking. But there were irregularities ranging from the design of its clinical trials to government involvement that led to the resignation of three scientists on an advisory panel, because not everybody in the scientific community agreed that it should be approved.

When I was six years old, my grandmother was diagnosed. Seeing the impact that it had over the years broke my heart and ignited a passion in me to pursue research. 

When I started at NYU, I wasn’t really sure what I was going to do in the future, or what opportunities I would go after. This writing class really gave me an opportunity to reflect on the things that were important to me in my life. The September after I wrote this paper, I started volunteering in a lab at Mount Sinai for Alzheimer's disease research, and that’s what I’m doing now—working as a volunteer at the Center for Molecular Integrative Neuroresilience under Dr. Giulio Pasinetti. I have this opportunity to be at the forefront, and because of the work I did in my writing class I feel prepared going into these settings with an understanding of the importance of conducting ethical research and working with integrity.

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News Release

Tuesday, October 4, 2022

NIH to award over $200 million to support potentially transformative biomedical research projects

The 2022 NIH Director’s Awards enable exceptionally creative scientists to push the boundaries of biomedical science.

The High-Risk, High-Reward Research program , supported by the Common Fund at the National Institutes of Health has awarded 103 new research grants to support highly innovative scientists who propose visionary and broadly impactful meritorious behavioral and biomedical research projects. Awards include the impact exposure to fracking might have on pregnancy and conception; how brain mechanisms influence memory performance; the neural basis of social bias and association using the female songbird as a model; tissue regeneration using the uterus as a model; a mixed methods examination of skin tone and health among African Americans across the United States; and a new model organism to lead in the development of an HIV vaccine. The 103 awards total approximately $285 million in support from the institutes, centers, and offices across NIH over five years beginning in 2022, pending the availability of funds.

“The science advanced by these researchers is poised to blaze new paths of discovery in human health,” said Lawrence A. Tabak, D.D.S., Ph.D., who is performing the duties of the Director of NIH. “This unique cohort of scientists will transform what is known in the biological and behavioral world. We are privileged to support this innovative science.”

The High-Risk, High-Reward Research program supports investigators at each career stage who propose innovative research that, due to their inherent risk, may struggle in the traditional NIH peer-review process despite their transformative potential. Investigators seeking program support are encouraged to think beyond traditional bounds and to pursue trailblazing ideas in any area of research relevant to the NIH’s mission to advance knowledge and enhance health.

The Common Fund oversees programs that pursue major scientific opportunities and gaps throughout the research enterprise, are of significant importance to NIH, and require collaborations across the agency to succeed. The High-Risk, High-Reward Research program manages four awards, including two awards specifically for researchers in the early stages of their careers. These four awards include:

• The NIH Director’s Pioneer Award , established in 2004, challenges investigators at all career levels to pursue new research directions and develop groundbreaking, high-impact approaches to a broad area of biomedical, behavioral, or social science.
• The NIH Director’s New Innovator Award , established in 2007, supports unusually innovative research from early career investigators who are within 10 years of their final degree or clinical residency and have not yet received an NIH R01 or equivalent grant.
• The NIH Director’s Transformative Research Award , established in 2009, promotes cross-cutting, interdisciplinary approaches and is open to individuals and teams of investigators who propose research that could potentially create or challenge existing paradigms.
• The NIH Director’s Early Independence Award , established in 2011, provides an opportunity to support exceptional junior scientists who have recently received their doctoral degree or completed their medical residency to skip traditional post-doctoral training and move immediately into independent research positions.

NIH issued eight Pioneer awards , 72 New Innovator awards , nine Transformative Research awards , and 14 Early Independence awards for 2022 . Funding for the awards comes from the NIH Common Fund, the National Institute on Aging, the National Institute of General Medical Sciences, the National Institute of Mental Health, and the National Cancer Institute.

About the NIH Common Fund : The NIH Common Fund encourages collaboration and supports a series of exceptionally high-impact, trans-NIH programs. Common Fund programs are managed by the Office of Strategic Coordination in the Division of Program Coordination, Planning, and Strategic Initiatives in the NIH Office of the Director in partnership with the NIH Institutes, Centers, and Offices. More information is available at the Common Fund website: https://commonfund.nih.gov .

About the National Institutes of Health (NIH): NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit www.nih.gov .

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Science | June 15, 2020

Seventy-Five Scientific Research Projects You Can Contribute to Online

From astrophysicists to entomologists, many researchers need the help of citizen scientists to sift through immense data collections

Rachael Lallensack

Former Assistant Editor, Science and Innovation

If you find yourself tired of streaming services, reading the news or video-chatting with friends, maybe you should consider becoming a citizen scientist. Though it’s true that many field research projects are paused , hundreds of scientists need your help sifting through wildlife camera footage and images of galaxies far, far away, or reading through diaries and field notes from the past.

Plenty of these tools are free and easy enough for children to use. You can look around for projects yourself on Smithsonian Institution’s citizen science volunteer page , National Geographic ’s list of projects and CitizenScience.gov ’s catalog of options. Zooniverse is a platform for online-exclusive projects , and Scistarter allows you to restrict your search with parameters, including projects you can do “on a walk,” “at night” or “on a lunch break.”

To save you some time, Smithsonian magazine has compiled a collection of dozens of projects you can take part in from home.

American Wildlife

If being home has given you more time to look at wildlife in your own backyard, whether you live in the city or the country, consider expanding your view, by helping scientists identify creatures photographed by camera traps. Improved battery life, motion sensors, high-resolution and small lenses have made camera traps indispensable tools for conservation.These cameras capture thousands of images that provide researchers with more data about ecosystems than ever before.

Smithsonian Conservation Biology Institute’s eMammal platform , for example, asks users to identify animals for conservation projects around the country. Currently, eMammal is being used by the Woodland Park Zoo ’s Seattle Urban Carnivore Project, which studies how coyotes, foxes, raccoons, bobcats and other animals coexist with people, and the Washington Wolverine Project, an effort to monitor wolverines in the face of climate change. Identify urban wildlife for the Chicago Wildlife Watch , or contribute to wilderness projects documenting North American biodiversity with The Wilds' Wildlife Watch in Ohio , Cedar Creek: Eyes on the Wild in Minnesota , Michigan ZoomIN , Western Montana Wildlife and Snapshot Wisconsin .

"Spend your time at home virtually exploring the Minnesota backwoods,” writes the lead researcher of the Cedar Creek: Eyes on the Wild project. “Help us understand deer dynamics, possum populations, bear behavior, and keep your eyes peeled for elusive wolves!"

If being cooped up at home has you daydreaming about traveling, Snapshot Safari has six active animal identification projects. Try eyeing lions, leopards, cheetahs, wild dogs, elephants, giraffes, baobab trees and over 400 bird species from camera trap photos taken in South African nature reserves, including De Hoop Nature Reserve and Madikwe Game Reserve .

With South Sudan DiversityCam , researchers are using camera traps to study biodiversity in the dense tropical forests of southwestern South Sudan. Part of the Serenegeti Lion Project, Snapshot Serengeti needs the help of citizen scientists to classify millions of camera trap images of species traveling with the wildebeest migration.

Classify all kinds of monkeys with Chimp&See . Count, identify and track giraffes in northern Kenya . Watering holes host all kinds of wildlife, but that makes the locales hotspots for parasite transmission; Parasite Safari needs volunteers to help figure out which animals come in contact with each other and during what time of year.

Mount Taranaki in New Zealand is a volcanic peak rich in native vegetation, but native wildlife, like the North Island brown kiwi, whio/blue duck and seabirds, are now rare—driven out by introduced predators like wild goats, weasels, stoats, possums and rats. Estimate predator species compared to native wildlife with Taranaki Mounga by spotting species on camera trap images.

The Zoological Society of London’s (ZSL) Instant Wild app has a dozen projects showcasing live images and videos of wildlife around the world. Look for bears, wolves and lynx in Croatia ; wildcats in Costa Rica’s Osa Peninsula ; otters in Hampshire, England ; and both black and white rhinos in the Lewa-Borana landscape in Kenya.

Under the Sea

Researchers use a variety of technologies to learn about marine life and inform conservation efforts. Take, for example, Beluga Bits , a research project focused on determining the sex, age and pod size of beluga whales visiting the Churchill River in northern Manitoba, Canada. With a bit of training, volunteers can learn how to differentiate between a calf, a subadult (grey) or an adult (white)—and even identify individuals using scars or unique pigmentation—in underwater videos and images. Beluga Bits uses a “ beluga boat ,” which travels around the Churchill River estuary with a camera underneath it, to capture the footage and collect GPS data about the whales’ locations.

Many of these online projects are visual, but Manatee Chat needs citizen scientists who can train their ear to decipher manatee vocalizations. Researchers are hoping to learn what calls the marine mammals make and when—with enough practice you might even be able to recognize the distinct calls of individual animals.

Several groups are using drone footage to monitor seal populations. Seals spend most of their time in the water, but come ashore to breed. One group, Seal Watch , is analyzing time-lapse photography and drone images of seals in the British territory of South Georgia in the South Atlantic. A team in Antarctica captured images of Weddell seals every ten minutes while the seals were on land in spring to have their pups. The Weddell Seal Count project aims to find out what threats—like fishing and climate change—the seals face by monitoring changes in their population size. Likewise, the Año Nuevo Island - Animal Count asks volunteers to count elephant seals, sea lions, cormorants and more species on a remote research island off the coast of California.

With Floating Forests , you’ll sift through 40 years of satellite images of the ocean surface identifying kelp forests, which are foundational for marine ecosystems, providing shelter for shrimp, fish and sea urchins. A project based in southwest England, Seagrass Explorer , is investigating the decline of seagrass beds. Researchers are using baited cameras to spot commercial fish in these habitats as well as looking out for algae to study the health of these threatened ecosystems. Search for large sponges, starfish and cold-water corals on the deep seafloor in Sweden’s first marine park with the Koster seafloor observatory project.

The Smithsonian Environmental Research Center needs your help spotting invasive species with Invader ID . Train your eye to spot groups of organisms, known as fouling communities, that live under docks and ship hulls, in an effort to clean up marine ecosystems.

If art history is more your speed, two Dutch art museums need volunteers to start “ fishing in the past ” by analyzing a collection of paintings dating from 1500 to 1700. Each painting features at least one fish, and an interdisciplinary research team of biologists and art historians wants you to identify the species of fish to make a clearer picture of the “role of ichthyology in the past.”

Interesting Insects

Notes from Nature is a digitization effort to make the vast resources in museums’ archives of plants and insects more accessible. Similarly, page through the University of California Berkeley’s butterfly collection on CalBug to help researchers classify these beautiful critters. The University of Michigan Museum of Zoology has already digitized about 300,000 records, but their collection exceeds 4 million bugs. You can hop in now and transcribe their grasshopper archives from the last century . Parasitic arthropods, like mosquitos and ticks, are known disease vectors; to better locate these critters, the Terrestrial Parasite Tracker project is working with 22 collections and institutions to digitize over 1.2 million specimens—and they’re 95 percent done . If you can tolerate mosquito buzzing for a prolonged period of time, the HumBug project needs volunteers to train its algorithm and develop real-time mosquito detection using acoustic monitoring devices. It’s for the greater good!

For the Birders

Birdwatching is one of the most common forms of citizen science . Seeing birds in the wilderness is certainly awe-inspiring, but you can birdwatch from your backyard or while walking down the sidewalk in big cities, too. With Cornell University’s eBird app , you can contribute to bird science at any time, anywhere. (Just be sure to remain a safe distance from wildlife—and other humans, while we social distance ). If you have safe access to outdoor space—a backyard, perhaps—Cornell also has a NestWatch program for people to report observations of bird nests. Smithsonian’s Migratory Bird Center has a similar Neighborhood Nest Watch program as well.

Birdwatching is easy enough to do from any window, if you’re sheltering at home, but in case you lack a clear view, consider these online-only projects. Nest Quest currently has a robin database that needs volunteer transcribers to digitize their nest record cards.

You can also pitch in on a variety of efforts to categorize wildlife camera images of burrowing owls , pelicans , penguins (new data coming soon!), and sea birds . Watch nest cam footage of the northern bald ibis or greylag geese on NestCams to help researchers learn about breeding behavior.

Or record the coloration of gorgeous feathers across bird species for researchers at London’s Natural History Museum with Project Plumage .

Pretty Plants

If you’re out on a walk wondering what kind of plants are around you, consider downloading Leafsnap , an electronic field guide app developed by Columbia University, the University of Maryland and the Smithsonian Institution. The app has several functions. First, it can be used to identify plants with its visual recognition software. Secondly, scientists can learn about the “ the ebb and flow of flora ” from geotagged images taken by app users.

What is older than the dinosaurs, survived three mass extinctions and still has a living relative today? Ginko trees! Researchers at Smithsonian’s National Museum of Natural History are studying ginko trees and fossils to understand millions of years of plant evolution and climate change with the Fossil Atmospheres project . Using Zooniverse, volunteers will be trained to identify and count stomata, which are holes on a leaf’s surface where carbon dioxide passes through. By counting these holes, or quantifying the stomatal index, scientists can learn how the plants adapted to changing levels of carbon dioxide. These results will inform a field experiment conducted on living trees in which a scientist is adjusting the level of carbon dioxide for different groups.

Help digitize and categorize millions of botanical specimens from natural history museums, research institutions and herbaria across the country with the Notes from Nature Project . Did you know North America is home to a variety of beautiful orchid species? Lend botanists a handby typing handwritten labels on pressed specimens or recording their geographic and historic origins for the New York Botanical Garden’s archives. Likewise, the Southeastern U.S. Biodiversity project needs assistance labeling pressed poppies, sedums, valerians, violets and more. Groups in California , Arkansas , Florida , Texas and Oklahoma all invite citizen scientists to partake in similar tasks.

Historic Women in Astronomy

Become a transcriber for Project PHaEDRA and help researchers at the Harvard-Smithsonian Center for Astrophysics preserve the work of Harvard’s women “computers” who revolutionized astronomy in the 20th century. These women contributed more than 130 years of work documenting the night sky, cataloging stars, interpreting stellar spectra, counting galaxies, and measuring distances in space, according to the project description .

More than 2,500 notebooks need transcription on Project PhaEDRA - Star Notes . You could start with Annie Jump Cannon , for example. In 1901, Cannon designed a stellar classification system that astronomers still use today. Cecilia Payne discovered that stars are made primarily of hydrogen and helium and can be categorized by temperature. Two notebooks from Henrietta Swan Leavitt are currently in need of transcription. Leavitt, who was deaf, discovered the link between period and luminosity in Cepheid variables, or pulsating stars, which “led directly to the discovery that the Universe is expanding,” according to her bio on Star Notes .

Volunteers are also needed to transcribe some of these women computers’ notebooks that contain references to photographic glass plates . These plates were used to study space from the 1880s to the 1990s. For example, in 1890, Williamina Flemming discovered the Horsehead Nebula on one of these plates . With Star Notes, you can help bridge the gap between “modern scientific literature and 100 years of astronomical observations,” according to the project description . Star Notes also features the work of Cannon, Leavitt and Dorrit Hoffleit , who authored the fifth edition of the Bright Star Catalog, which features 9,110 of the brightest stars in the sky.

Microscopic Musings

Electron microscopes have super-high resolution and magnification powers—and now, many can process images automatically, allowing teams to collect an immense amount of data. Francis Crick Institute’s Etch A Cell - Powerhouse Hunt project trains volunteers to spot and trace each cell’s mitochondria, a process called manual segmentation. Manual segmentation is a major bottleneck to completing biological research because using computer systems to complete the work is still fraught with errors and, without enough volunteers, doing this work takes a really long time.

For the Monkey Health Explorer project, researchers studying the social behavior of rhesus monkeys on the tiny island Cayo Santiago off the southeastern coast of Puerto Rico need volunteers to analyze the monkeys’ blood samples. Doing so will help the team understand which monkeys are sick and which are healthy, and how the animals’ health influences behavioral changes.

Using the Zooniverse’s app on a phone or tablet, you can become a “ Science Scribbler ” and assist researchers studying how Huntington disease may change a cell’s organelles. The team at the United Kingdom's national synchrotron , which is essentially a giant microscope that harnesses the power of electrons, has taken highly detailed X-ray images of the cells of Huntington’s patients and needs help identifying organelles, in an effort to see how the disease changes their structure.

Oxford University’s Comprehensive Resistance Prediction for Tuberculosis: an International Consortium—or CRyPTIC Project , for short, is seeking the aid of citizen scientists to study over 20,000 TB infection samples from around the world. CRyPTIC’s citizen science platform is called Bash the Bug . On the platform, volunteers will be trained to evaluate the effectiveness of antibiotics on a given sample. Each evaluation will be checked by a scientist for accuracy and then used to train a computer program, which may one day make this process much faster and less labor intensive.

Out of This World

If you’re interested in contributing to astronomy research from the comfort and safety of your sidewalk or backyard, check out Globe at Night . The project monitors light pollution by asking users to try spotting constellations in the night sky at designated times of the year . (For example, Northern Hemisphere dwellers should look for the Bootes and Hercules constellations from June 13 through June 22 and record the visibility in Globe at Night’s app or desktop report page .)

For the amateur astrophysicists out there, the opportunities to contribute to science are vast. NASA's Wide-field Infrared Survey Explorer (WISE) mission is asking for volunteers to search for new objects at the edges of our solar system with the Backyard Worlds: Planet 9 project .

Galaxy Zoo on Zooniverse and its mobile app has operated online citizen science projects for the past decade. According to the project description, there are roughly one hundred billion galaxies in the observable universe. Surprisingly, identifying different types of galaxies by their shape is rather easy. “If you're quick, you may even be the first person to see the galaxies you're asked to classify,” the team writes.

With Radio Galaxy Zoo: LOFAR , volunteers can help identify supermassive blackholes and star-forming galaxies. Galaxy Zoo: Clump Scout asks users to look for young, “clumpy” looking galaxies, which help astronomers understand galaxy evolution.

If current events on Earth have you looking to Mars, perhaps you’d be interested in checking out Planet Four and Planet Four: Terrains —both of which task users with searching and categorizing landscape formations on Mars’ southern hemisphere. You’ll scroll through images of the Martian surface looking for terrain types informally called “spiders,” “baby spiders,” “channel networks” and “swiss cheese.”

Gravitational waves are telltale ripples in spacetime, but they are notoriously difficult to measure. With Gravity Spy , citizen scientists sift through data from Laser Interferometer Gravitational­-Wave Observatory, or LIGO , detectors. When lasers beamed down 2.5-mile-long “arms” at these facilities in Livingston, Louisiana and Hanford, Washington are interrupted, a gravitational wave is detected. But the detectors are sensitive to “glitches” that, in models, look similar to the astrophysical signals scientists are looking for. Gravity Spy teaches citizen scientists how to identify fakes so researchers can get a better view of the real deal. This work will, in turn, train computer algorithms to do the same.

Similarly, the project Supernova Hunters needs volunteers to clear out the “bogus detections of supernovae,” allowing researchers to track the progression of actual supernovae. In Hubble Space Telescope images, you can search for asteroid tails with Hubble Asteroid Hunter . And with Planet Hunters TESS , which teaches users to identify planetary formations, you just “might be the first person to discover a planet around a nearby star in the Milky Way,” according to the project description.

Help astronomers refine prediction models for solar storms, which kick up dust that impacts spacecraft orbiting the sun, with Solar Stormwatch II. Thanks to the first iteration of the project, astronomers were able to publish seven papers with their findings.

With Mapping Historic Skies , identify constellations on gorgeous celestial maps of the sky covering a span of 600 years from the Adler Planetarium collection in Chicago. Similarly, help fill in the gaps of historic astronomy with Astronomy Rewind , a project that aims to “make a holistic map of images of the sky.”

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Rachael Lallensack | READ MORE

Rachael Lallensack is the former assistant web editor for science and innovation at Smithsonian .

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NIH Launches Community-Led Research Program to Advance Health Equity

Awards to community organizations will enable examination of structural drivers of health

September 28, 2023 • Press Release

The National Institutes of Health is funding a first-of-its-kind community-led research program to study ways to address the underlying structural factors within communities that affect health, such as access to safe spaces, healthy food, employment opportunities, transportation, and quality health care. Through the NIH Common Fund Community Partnerships to Advance Science for Society (ComPASS) program, NIH made 26 awards to community organizations and a coordinating center, totaling approximately $171 million over five years, pending the availability of funds. Through these awards, ComPASS will enable research into sustainable solutions that promote health equity to create lasting change in communities across the nation.

NIH is directly funding research projects led by community organizations. Leaders from the organizations will work in collaboration with their research partners at academic institutions and other organizations in all phases of the research process. ComPASS projects study social determinants of health — the social, physical, and economic conditions where people are born, grow, live, work, age, and play — that contribute to health inequities.

"The ComPASS research model harnesses diverse perspectives and expertise to examine systemic factors that impact the health of individuals, communities, and populations," said NIH Acting Director Lawrence Tabak, D.D.S., Ph.D. “We are excited to see how results from these awards exemplify the transformative power of community-driven research."

The projects  will examine underlying conditions and environments that influence health outcomes by enabling the development, implementation, and assessment of structural interventions. Structural interventions are meant to alter social determinants of health by changing factors that create differences in opportunities to achieve optimal health.

Each award will foster the design of strategies to improve health outcomes through innovative structural interventions to address community concerns, such as economic development, social and community context, neighborhood characteristics, health care access and quality, and nutrition and food environment. Community organizations and their research partners will work together to develop a structural intervention, launch it within their communities, and then assess whether the intervention improves health outcomes. Several examples of ComPASS-supported research projects, which focus on populations that experience health disparities  , include:

• Supporting access to healthy food in underserved rural communities through the delivery of food boxes to local stores and individuals, and facilitating local food harvesting, processing, and distribution in the community. The project will measure whether these interventions reduce hunger, improve diet quality, promote healthy weight, and protect people against chronic diseases such as diabetes and cardiovascular disease.
• Assessing whether early childcare strategies improve mental health for children and their parents and guardians. This project will develop and examine community strategies that increase access to public early childcare, education, and programming to support young children and families in areas with limited access to childcare.
• Enhancing access to health care through individualized travel information and resources along with a transportation stipend for health care and related trips. The project will assess whether improved transportation access can reduce emergency department readmissions and secondary infections, decrease hospital costs, and improve disease management.
• Improving access to quality health care for older adults from sexual and gender minority populations by creating culturally appropriate and inclusive protocols in the local health system. The project will measure how these changes in the local health system affect overall physical and mental health.
• Assessing whether enhancing telehealth models in rural communities can improve preventative screening and disease management for cancer, depression, diabetes, high blood pressure, and other chronic diseases among agricultural workers. The project will improve telehealth by transforming the workers' access to affordable, reliable high-speed broadband internet.

NIH will gain valuable experience and insight into how to support successful future community-led health research. Each project will also contribute valuable data to a growing body of knowledge about social determinants of health and structural inequities.

The ComPASS program is funded by the NIH Common Fund and managed collaboratively by NIH staff from the Common Fund; National Cancer Institute; National Institute of Mental Health; National Institute on Minority Health and Health Disparities; National Institute of Nursing Research; National Heart, Lung, and Blood Institute; and NIH Office of Research on Women's Health, with many of the NIH Institutes Centers and Offices providing input and participating in program development and management. More information is available on the ComPASS program website: https://commonfund.nih.gov/compass  .

To learn more about ComPASS, watch this brief video   :

About the NIH Common Fund: The NIH Common Fund encourages collaboration and supports a series of exceptionally high-impact, NIH-wide programs. Common Fund programs are managed by the Office of Strategic Coordination in the Division of Program Coordination, Planning, and Strategic Initiatives in the NIH Office of the Director in partnership with the NIH Institutes, Centers, and Offices. More information is available at the Common Fund website: https://commonfund.nih.gov  .

About the National Institute of Mental Health (NIMH): The mission of the NIMH  is to transform the understanding and treatment of mental illnesses through basic and clinical research, paving the way for prevention, recovery and cure. For more information, visit the NIMH website .

About the National Institutes of Health (NIH) : NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH  and its programs, visit the NIH website  .

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New Research Makes a Powerful Case for PBL

Two new gold-standard studies provide compelling evidence that project-based learning is an effective strategy for all students—including historically marginalized ones.

When Gil Leal took AP Environmental Science in his junior year of high school, he was surprised by how different it was from his other AP classes. Instead of spending the bulk of the time sitting through lectures, taking notes, and studying abstract texts, his class visited a strawberry farm in the valley nearby.

It wasn’t just for a tour. Leal and his peers were tasked with thinking about the many challenges that modern farms confront, from water shortages to pest infestations and erosion. More surprising to Leal: Students were asked to design their own solutions, incorporating what they had learned about things like soil composition, ecosystem dynamics, and irrigation systems.

Now an environmental science major at UCLA—and a first-generation college student—Leal sees the visit as a pivotal moment that led to his decision to pursue science in college. He had never visited a farm before, and was used to a traditional sit-and-listen learning model.

“In other classes, it was lecture, readings, test,” said Leal, “but in AP Environmental Science we worked on projects with other students, discussed our ideas, considered different perspectives—and I learned so much more this way.”

Leal’s AP class, taught by Brandie Borges, is part of a new generation of classes that transform traditional teacher-led instruction into a more student-centered, project-based approach—requiring students to work together as they tackle complex, real-world problems that emphasize uncertainty, iterative thinking, and innovation. Proponents of project-based learning (PBL) argue that it fosters a sense of purpose in young learners, pushes them to think critically, and prepares them for modern careers that prize skills like collaboration, problem-solving, and creativity.

Critics say that the pedagogy places too much responsibility on novice learners, and ignores the evidence about the effectiveness of direct instruction by teachers. By de-emphasizing knowledge transfer from experts to beginners, the critics suggest, PBL undermines content knowledge and subject fluency.

While project-based learning and direct instruction aren't incompatible, evidence that might settle the deeper controversy over PBL's effectiveness has been sparse. Only a handful of studies over the last decades have established a causal relationship between structured project-based learning and student outcomes—in either direction.

But two major new gold-standard studies—both funded by Lucas Education Research , a sister division of Edutopia—conducted by researchers from the University of Southern California and Michigan State University, provide compelling evidence that project-based learning is an effective strategy for all students, outperforming traditional curricula not only for high achieving students, but across grade levels and racial and socioeconomic groups.

Reimagining Advanced Placement Courses

The two studies involved over 6,000 students in 114 schools across the nation, with more than 50 percent of students coming from low-income households.

In the AP study , which included Gil Leal’s class along with over 3,600 students in both AP Environmental Science and AP U.S. Government and Politics courses from five districts serving a diverse student body, researchers looked at a broad range of project-based activities in the sciences and humanities.

In one example, students in Amber Graeber’s AP Government class took part in a simulation of an electoral caucus. Meanwhile, instead of simply reading about Supreme Court cases, students in Erin Fisher’s class studied historic cases and then took on real-world roles, arguing the cases in mock court, acting as reporters, and designing campaign ads and stump speeches to make their case.

Researchers found that nearly half of students in project-based classrooms passed their AP tests, outperforming students in traditional classrooms by 8 percentage points. Students from low-income households saw similar gains compared to their wealthier peers, making a strong case that well-structured PBL can be a more equitable approach than teacher-centered ones. Importantly, the improvements in teaching efficacy were both significant and durable: When teachers in the study taught the same curriculum for a second year, PBL students outperformed students in traditional classrooms by 10 percentage points.

The study results nudged at entrenched ideas about how to best teach students from different backgrounds. “There’s a belief among some educators and some policymakers that students from underserved backgrounds… aren’t ready to have student-centered instruction where they’re driving their own learning,” said USC researcher Anna Saavedra, the lead researcher on the AP study. “And so there’s this idea, and the results of this study really challenged that notion.”

Nationally, the researchers concluded, 30 percent of students from low-income households take AP tests, but that number jumped to 38 percent for students in PBL classrooms—there are more low-income students taking AP tests using project-based learning, and more are passing as well.

It may seem counterintuitive that a student-centered approach is effective in an environment that’s so focused on high-stakes testing, but the results suggest otherwise.

“Students felt like the work was more authentic,” said Saavedra, suggesting a possible explanation for the improvements. “There were more connections to their real lives. For example, in the AP Environmental Science course, they were learning about their ecological footprint and thinking: How do my behaviors affect the health of my community and of the larger world?”

Authentic Learning

But project-based learning isn’t just for high school kids. In Billie Freeland’s third-grade class, PBL not only builds students’ interest in science but also helps them make more connections with the world around them, generating a deep understanding of—and appreciation for—science, she says.

“Third-grade students work on the ‘Toy Unit,’” said Freeland. “But don’t let the name fool you.... Third graders learn the concepts of gravity, friction, force, and direction by designing toys from simple objects such as water bottles, straws, and recycled milk cartons. The unit ends with them designing their own toys that use magnetic or electrical force,” she told researchers, while emphasizing that the projects are aligned with Next Generation Science Standards (NGSS).

Freeland’s class was one of dozens involved in the large-scale study examining the effectiveness of PBL in elementary science classes . In the study, researchers from Michigan State University and the University of Michigan studied 2,371 third-grade students in 46 schools who were randomly assigned to a business-as-usual control group or a treatment group. The schools selected for the study were diverse: 62 percent of the schools’ student bodies qualified for free or reduced-price lunch, and 58 percent were students of color.

Like the high school students in the AP study, elementary students in PBL classrooms outperformed their peers, this time by 8 percentage points on a test of science learning. The pattern held across socioeconomic class and across all reading ability levels: In the project-based learning group, all boats rose on the tide—and both struggling readers and highly proficient readers outperformed their counterparts in traditional classrooms.

“The beauty of all of this, which is really quite lovely, is that we have PBL in science, a progression of it, from elementary through high school,” said Barbara Schneider, a professor of education at Michigan State University who worked on the study. “Our findings are consistent all across elementary and secondary school, which is really quite remarkable. And in both cases, we’re looking at substantial increases in science achievement.”

The Takeaway: In two gold-standard, randomized, controlled trials of thousands of students in diverse school systems across the U.S., project-based learning significantly outperformed traditional curricula, raising academic performance across grade levels, socioeconomic subgroups, and reading ability. To learn more about the AP courses and the research, watch the videos Reinventing AP Courses With Rigorous Project-Based Learning  and  A Project-Based Approach to Teaching Elementary Science .

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NSF Materials Development Accelerator Project Advances With Six Phase 2 Research Teams

The National Science Foundation has announced the selection of six research teams advancing to Phase 2 of its Convergence Accelerator’s Track I: Sustainable Materials for Global Challenges program aimed at developing solutions to speed up materials development for such industries as semiconductors and plastics. 

A total of $30 million has been allocated to the program, which is a partnership with Australia’s national science agency, the Commonwealth Scientific and Industrial Research Organisation, a.k.a. CSIRO, the NSF said Tuesday.

Each Phase 2 team will receive an award of up to $5 million over three years. 

The teams will undergo innovation and entrepreneurial training on such areas as product development, financial resources and sustainability planning. 

Australian researchers from the University of Wollongong and Western Sydney University, with CSIRO funding, are among the members of the U.S.-led team ReCreateIt focused on landfill waste reduction research.

A team led by IBM’s PFACTS Almaden Research Center is geared to boost development of compostable materials for food containers and semiconductors. 

Battelle Memorial Institute leads a research team on recyclable materials for solar panels, while a team headed by the University of Georgia Research Foundation will work on a tool to examine the flow of materials, such as plastics and organics, through local communities.    

The Massachusetts Institute of Technology leads two Phase 2 teams, with one focused on establishing a microchip sustainability alliance and the other geared for research on topological materials for low-cost next-generation energy and information tools.

The NSF initiated the Convergence Accelerator program with a request for information in October 2020 for concepts to accelerate the transition of technology from basic research to discovery.

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Underground carbon storage project takes root

Virginia Tech is serving as the technical lead of the U.S. Department of Energy-funded project that aims to store more than 1.7 million metric tons of carbon dioxide per year and reduce the risk and costs of future projects.

• Travis Williams

31 Jul 2024

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For six years, Uzezi Orivri was a petroleum engineer, focused on extracting oil and gas from the ground.

Now, as a part of a U.S. Department of Energy-funded project, the former petroleum engineer is helping revolutionize efforts to keep harmful amounts of carbon dioxide (CO 2 ) out of the atmosphere by putting it in the ground.

“Carbon sequestration was something I really wanted to do my Ph.D. research on,” said Orivri, a Ph.D. student in the Department of Mining and Minerals Engineering. “My work experience as a petroleum engineer highlighted the necessity of reducing carbon emissions while simultaneously increasing energy accessibility. This project really aligns well with my research objectives.”

Recently announced by the U.S. Department of Energy Office of Fossil Energy and Carbon Management and administered by the National Energy Technology Lab under federal award number DE-FE0032447, the Atlantic Coast CO 2 Emissions Storage Sink, commonly referred to as Project ACCESS, is a CarbonSAFE Phase II feasibility study in South Florida that will evaluate the potential for safe and permanent geological carbon dioxide storage at depths exceeding 7,500 feet below the Earth’s surface. Overseen by the Southern States Energy Board with Virginia Tech serving as the technical lead, Project ACCESS aims to store more than 1.7 million metric tons of carbon dioxide per year and reduce the risk and costs of future projects.

“With many industrial emitters and a limited history exploring carbon dioxide capture, utilization, and storage opportunities, Project ACCESS represents an initial step toward understanding the opportunities and challenges associated with commercial deployment in South Florida,” said Ben Wernette, principal scientist and strategic partnerships lead for Southern States Energy Board. “Virginia Tech is responsible for the design and oversight of the surface characterization program, including all field data acquisition programs and modeling efforts.”

Orivri is a part of the Virginia Tech team, which is led by Ryan Pollyea, associate professor in the Department of Geosciences . Pollyea’s research program works with industry partners to deploy geologic carbon storage while linking students with research partners to get real world experience through internships and career opportunities. His graduate students have taken internships at Chevron and Schlumberger-Doll Research Labs, and this past spring, Pollyea mentored a student team through the Society of Exploration Geophysicists’ EVOLVE Carbon Solutions Professional Program. As a result of their work, the student team was selected to host the society's first virtual U.S. regional geoscience trivia contest.

“We’re working to keep carbon dioxide out of the atmosphere and doing it in a way that’s economically, technically, and scientifically sound,” Pollyea said. “Our research aims to put carbon dioxide permanently underground, while also developing long-term plans to monitor and verify that the carbon dioxide is stored securely.”

The Virginia Tech Project ACCESS team also includes

• Steve Holbrook , professor, Department of Geosciences
• Nino Ripepi , associate professor, Department of Mining and Mineral Engineering
• Rohit Pandey , assistant professor, Department of Mining and Minerals Engineering
• Piyali Chanda , research associate, Virginia Center for Coal and Energy Resources

“Our hope is to use projects like this one, working hand-in-hand with industry, to create an enabling environment for decarbonization technologies. This effort builds on significant momentum and we are looking forward to using it as a launchpad for others,” Pollyea said.

Your browser does not support iframes. Link to iframe content: https://open.spotify.com/embed/episode/2uP2QtpjkQ3TOTvyMblrp3?utm_source=generator&theme=0

Each year, the typical passenger vehicle emits about 4.6 metric tons of carbon dioxide, according to the United States Environmental Protection Agency. Based on those numbers, if Project ACCESS develops, it could eliminate the annual carbon dioxide emissions equivalent to 370,000 passenger vehicles.

Pollyea began studying geologic carbon sequestration in 2007. He said the technology is especially applicable to industries that have extreme difficulty lowering their greenhouse emissions, such as steel and cement production. By successfully retrofitting production plants with carbon capture technology, the emissions could be contained and injected into deep geological formations, allowing those industries to greatly reduce their carbon footprint without sacrificing production.

The end result of this process would deposit and trap carbon dioxide in many of the same types of geological formations that hold other resources, such as oil and gas, thousands of feet below drinking water reservoirs.

“If your deepest water well is 1,000 feet underground, we’re going a mile or more deeper that,” Pollyea said.

Not only will Project ACCESS help industrial sectors with hard-to-reduce carbon dioxide emissions, it will do so by storing the emissions in the challenging types of rocks many previous efforts have avoided.

 “We’re looking at geology that is not the thick, porous sandstone that is a more common target for geologic carbon dioxide storage,” Pollyea said. “Project ACCESS is targeting limestone formations in South Florida, and we’ve also been working to unlock carbon dioxide storage in Appalachian-style fold-and-thrust belts. This is new geology for carbon dioxide storage. This is the hard stuff, but unlocking new geology means that carbon dioxide storage can be deployed in more places, and with fewer pipelines transporting carbon dioxide from industrial facilities to storage sites. That giving more options for a broad range of emitters”

Pollyea said by expanding to different types of rocks there is potential for economic benefits to regions of the country previously hurt by declining industries, such as coal in Appalachia. Part of these benefits could come in the form of repurposing and building on the workforce’s existing skill set for the accompanying employee opportunities.

The opportunity to contribute to such innovative work alongside Pollyea is what drew Orivri to Virginia Tech after working for six years in the oil and gas industries.

“There really are not a lot of projects globally doing this with carbonates,” Orivri said. “And there’s a lot of academic research and microscopic stuff that goes into it, but he [Pollyea] was focused on project execution in very practical terms – how do we get this thing working. How do we get carbon dioxide in the ground.”

Having arrived at Virginia Tech last fall, Orivri said the work had already taught him a lot about the value of working with a variety of partners.

“To make a project like this work, you need a lot of collaboration with people like government agencies and industry partners, not just academia,” Orivri said.

He said the project had also illuminated the importance of having the type of interdisciplinary research team Virginia Tech had drawn together.

“My main challenge right now is that I’m not a geologist, I’m an engineer,” Orivri said. “So I need folks like Lars [Koehn, a Ph.D. candidate in geosciences] who is a geologist and geochemist to help me have a proper understanding of the geological model to make the engineering work.”

That combination of academic expertise, alongside the support and know-how of industry and government partners, has created a situation with a high upside for the work below the surface of the Earth.

“If we can get this to work, we can unlock a lot of real estate for carbon storage and take a critical step towards Virginia Tech becoming a destination for the kind of interdisciplinary research, innovation, and talent development needed to advance the control of carbon emissions,” Pollyea said.

Lindsey Haugh

• Advanced Research Computing
• Center for Coastal Studies
• Climate Action
• College of Engineering
• College of Science
• Fralin Life Sciences Institute
• Geosciences
• Graduate Research
• Mining and Minerals Engineering
• Responsible Consumption and Production

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Education, membership and licensing, issb to commence research projects about risks and opportunities related to nature and human capital.

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Informed by its recent consultation on future priorities , the International Sustainability Standards Board (ISSB) will commence projects to research disclosure about risks and opportunities associated with:

• biodiversity, ecosystems and ecosystem services; and
• human capital.

The research projects will focus on the common information needs of investors in assessing whether and how these risks and opportunities could reasonably be expected to affect a company’s prospects.

As with the approach to the ISSB’s inaugural Standards, the ISSB will look at how it might build from relevant pre-existing initiatives. This includes those already under its purview—the SASB Standards and CDSB guidance—and, additionally, relevant aspects of the work of the Task Force on Nature-related Financial Disclosures (TNFD).

Disclosure of material information about all sustainability-related risks and opportunities is already required under IFRS S1, with companies asked to refer to sources of guidance—including the SASB Standards—to provide appropriate disclosures beyond climate. These projects will enable the ISSB to embark on its own standard-setting work in key areas needed to establish more specific disclosures to build out the global baseline of sustainability-related financial disclosures.

Through the research projects, the ISSB will assess and define the limitations with current disclosure in these areas, identifying possible solutions and decide whether standard setting is required.

The ISSB’s priority for the next two years will be supporting the implementation of the ISSB’s inaugural Standards—IFRS S1 and IFRS S2. The two new research projects and work to enhance the SASB Standards will be the ISSB’s other key focus areas. Capacity will be reserved for addressing emerging needs and engaging with the International Accounting Standards Board (IASB).

Informed by market feedback, the ISSB decided not to embark on projects related to risks and opportunities associated with human rights—beyond risks and opportunities relating to a company's own workforce and workers in its value chain—or integration in reporting at this time. However, the ISSB agreed to closely monitor developments in these important areas and may consider including them in a future agenda consultation.

Both the ISSB and IASB will continue to support the use of the Integrated Reporting Framework as a resource that drives high-quality corporate reporting and a cohesive information package for investors.

In June, the ISSB expects to publish a summary of the feedback on its agenda consultation, together with its response to the feedback and its work plan for the next two years.

ISSB Chair Emmanuel Faber, said:

Beyond climate, we are committed to building out the global baseline of sustainability-related financial disclosure to meet the needs of investors. Feedback indicated a significant and growing need among investors for improved disclosures around biodiversity, ecosystems and ecosystems services as well as human capital, as a key source of value for companies. Our industry-specific SASB Standards continue to be used as a cost-effective way of providing decision-useful information to investors. We are committed to enhancing the SASB Standards further given they will also support our new research areas. We look forward to sharing our work plan for the next two years in June.

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5 Electrical Engineering Research Projects Making Their Mark in 2024

Join our engineering community sign-in with:, from 3d processors to self-powered sensors, these academic research projects show how "the next big thing" in electronics may emerge from labs worldwide..

Many of the most influential hardware companies can trace their origins back to a university lab. Even RISC-V, the open-source ISA taking the hardware world by storm, had its humble beginnings at the University of California, Berkeley, in 2010. Only a few months into 2024, several projects from universities worldwide—from MIT in Boston to Shibaura Institute of Technology in Japan, have caught our attention. Here's our editor's pick of five electrical engineering research projects to keep an eye on. 

MIT: Magnetic Energy Harvesting Sensor

MIT researchers have developed a self-powered, battery-free sensor that harvests magnetic energy from its surroundings. This sensor, designed for difficult-to-access areas like ship engines, can monitor power consumption and operations over extended periods without the need for battery replacement or special wiring.

System diagram of the self-powered sensor. Image used courtesy of IEEE

It operates by leveraging the ambient magnetic fields generated around electrical wires, enabling it to clip onto a wire and autonomously harvest energy. This energy is then used to monitor the temperature of the motor it is attached to. The researchers believe this innovation could lead to networks of maintenance-free sensors for various applications, significantly reducing installation and maintenance costs and potentially transforming the landscape of sensor deployment in industrial settings, manufacturing plants, and beyond.

Caltech: Tying Knots Inside Lasers

Caltech's recently published its latest research on mode-locked lasers, lasers that emit light in steady pulses instead of in one continuous beam. The team effectively created a  "knot" within the laser pulses , enhancing their resilience to imperfections and environmental disturbances.

“Tying to knot” with lasers. Image used courtesy of Caltech

Such topological temporal mode-locking could significantly improve the stability and performance of frequency combs—crucial tools in modern communication, sensing, and computing applications. By ensuring that these laser pulses can withstand external shocks without losing coherence, the research opens new avenues for developing advanced sensing technologies and more reliable communication systems.

University of Florida: 3D Processors for Wireless Comms

The University of Florida's electrical engineering department has developed a three-dimensional processor it claims may "transform the landscape of wireless communication." The researchers aim to address the inherent limitations of traditional planar processors by embracing the third dimension, leading to unprecedented compactness and efficiency in data transmission. 

A 3D filter created from connecting ferroelectric-gate fin resonators with different frequencies. Image used courtesy of the University of Florida

These 3D nanomechanical resonators, fabricated using CMOS technology, integrate different frequencies on one monolithic chip. The team calls this device a new type of spectral processor, taking a new approach to multi-band, frequency-agile radio chipsets to meet the surging demands for seamless connectivity and real-time data exchange. The potential applications are wide-ranging, from smart city infrastructures to remote healthcare services and immersive augmented reality experiences.

Shibaura Institute of Technology: Enhancing Electrical Fire Safety

At the Shibaura Institute of Technology, researchers have made a significant breakthrough in electrical fire safety by developing a method for detecting arc faults in low-voltage AC systems. Arc faults, one the leading causes of electrical fires, occur when two conductors electrically discharge because of poor contact, causing sparks as hot as 1,000°C. 

The researchers observed that when a copper oxide bridge burns at high temperatures, an arc fault occurs, turning the bridge into an insulator and creating a loop in the conducting path. In a theoretical simulation of this phenomenon, the team saw a unique current waveform, termed the "current shoulder," appear in arc faults with copper contacts. 

 No arc-fault state vs. arc-fault state under various types of loads. Image used courtesy of SIT

A current transformer can detect this current shoulder when the voltage disparities between arc-fault and non-arc-fault states offset changes in the transformer's magnetic flux. This discovery improves the accuracy of arc-fault detection and may subsequently reduce the risk of electrical fires in residential and commercial buildings.

National University of Singapore: Record Solar Cell Efficiency

The National University of Singapore has achieved a milestone in solar cell technology by developing triple-junction tandem solar cells with a world-record efficiency of 27.1%. This feat was accomplished by integrating a novel pseudohalide, cyanate, into perovskite solar cells—a move that not only stabilized the perovskite structure but also significantly reduced energy loss. 

The NUS triple-junction solar cell. Image used courtesy of NUS

The success of these cyanate-integrated perovskite solar cells in achieving higher voltages and maintaining stability under continuous operation marks a significant step forward in the quest for more efficient and sustainable energy solutions. 

Electronics Research Marches On

Have you heard of or participated in any recent research moving the needle in electrical engineering? How might the project affect specific industries? Tell us about it in the comments below.

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How to plan a research project

Whether for a paper or a thesis, define your question, review the work of others – and leave yourself open to discovery.

by Brooke Harrington   + BIO

is professor of sociology at Dartmouth College in New Hampshire. Her research has won international awards both for scholarly quality and impact on public life. She has published dozens of articles and three books, most recently the bestseller Capital without Borders (2016), now translated into five languages.

Edited by Sam Haselby

Need to know

‘When curiosity turns to serious matters, it’s called research.’ – From Aphorisms (1880-1905) by Marie von Ebner-Eschenbach

Planning research projects is a time-honoured intellectual exercise: one that requires both creativity and sharp analytical skills. The purpose of this Guide is to make the process systematic and easy to understand. While there is a great deal of freedom and discovery involved – from the topics you choose, to the data and methods you apply – there are also some norms and constraints that obtain, no matter what your academic level or field of study. For those in high school through to doctoral students, and from art history to archaeology, research planning involves broadly similar steps, including: formulating a question, developing an argument or predictions based on previous research, then selecting the information needed to answer your question.

Some of this might sound self-evident but, as you’ll find, research requires a different way of approaching and using information than most of us are accustomed to in everyday life. That is why I include orienting yourself to knowledge-creation as an initial step in the process. This is a crucial and underappreciated phase in education, akin to making the transition from salaried employment to entrepreneurship: suddenly, you’re on your own, and that requires a new way of thinking about your work.

What follows is a distillation of what I’ve learned about this process over 27 years as a professional social scientist. It reflects the skills that my own professors imparted in the sociology doctoral programme at Harvard, as well as what I learned later on as a research supervisor for Ivy League PhD and MA students, and then as the author of award-winning scholarly books and articles. It can be adapted to the demands of both short projects (such as course term papers) and long ones, such as a thesis.

At its simplest, research planning involves the four distinct steps outlined below: orienting yourself to knowledge-creation; defining your research question; reviewing previous research on your question; and then choosing relevant data to formulate your own answers. Because the focus of this Guide is on planning a research project, as opposed to conducting a research project, this section won’t delve into the details of data-collection or analysis; those steps happen after you plan the project. In addition, the topic is vast: year-long doctoral courses are devoted to data and analysis. Instead, the fourth part of this section will outline some basic strategies you could use in planning a data-selection and analysis process appropriate to your research question.

Step 1: Orient yourself

Planning and conducting research requires you to make a transition, from thinking like a consumer of information to thinking like a producer of information. That sounds simple, but it’s actually a complex task. As a practical matter, this means putting aside the mindset of a student, which treats knowledge as something created by other people. As students, we are often passive receivers of knowledge: asked to do a specified set of readings, then graded on how well we reproduce what we’ve read.

Researchers, however, must take on an active role as knowledge producers . Doing research requires more of you than reading and absorbing what other people have written: you have to engage in a dialogue with it. That includes arguing with previous knowledge and perhaps trying to show that ideas we have accepted as given are actually wrong or incomplete. For example, rather than simply taking in the claims of an author you read, you’ll need to draw out the implications of those claims: if what the author is saying is true, what else does that suggest must be true? What predictions could you make based on the author’s claims?

In other words, rather than treating a reading as a source of truth – even if it comes from a revered source, such as Plato or Marie Curie – this orientation step asks you to treat the claims you read as provisional and subject to interrogation. That is one of the great pieces of wisdom that science and philosophy can teach us: that the biggest advances in human understanding have been made not by being correct about trivial things, but by being wrong in an interesting way . For example, Albert Einstein was wrong about quantum mechanics, but his arguments about it with his fellow physicist Niels Bohr have led to some of the biggest breakthroughs in science, even a century later.

Step 2: Define your research question

Students often give this step cursory attention, but experienced researchers know that formulating a good question is sometimes the most difficult part of the research planning process. That is because the precise language of the question frames the rest of the project. It’s therefore important to pose the question carefully, in a way that’s both possible to answer and likely to yield interesting results. Of course, you must choose a question that interests you, but that’s only the beginning of what’s likely to be an iterative process: most researchers come back to this step repeatedly, modifying their questions in light of previous research, resource limitations and other considerations.

Researchers face limits in terms of time and money. They, like everyone else, have to pose research questions that they can plausibly answer given the constraints they face. For example, it would be inadvisable to frame a project around the question ‘What are the roots of the Arab-Israeli conflict?’ if you have only a week to develop an answer and no background on that topic. That’s not to limit your imagination: you can come up with any question you’d like. But it typically does require some creativity to frame a question that you can answer well – that is, by investigating thoroughly and providing new insights – within the limits you face.

In addition to being interesting to you, and feasible within your resource constraints, the third and most important characteristic of a ‘good’ research topic is whether it allows you to create new knowledge. It might turn out that your question has already been asked and answered to your satisfaction: if so, you’ll find out in the next step of this process. On the other hand, you might come up with a research question that hasn’t been addressed previously. Before you get too excited about breaking uncharted ground, consider this: a lot of potentially researchable questions haven’t been studied for good reason ; they might have answers that are trivial or of very limited interest. This could include questions such as ‘Why does the area of a circle equal π r²?’ or ‘Did winter conditions affect Napoleon’s plans to invade Russia?’ Of course, you might be able to make the argument that a seemingly trivial question is actually vitally important, but you must be prepared to back that up with convincing evidence. The exercise in the ‘Learn More’ section below will help you think through some of these issues.

Finally, scholarly research questions must in some way lead to new and distinctive insights. For example, lots of people have studied gender roles in sports teams; what can you ask that hasn’t been asked before? Reinventing the wheel is the number-one no-no in this endeavour. That’s why the next step is so important: reviewing previous research on your topic. Depending on what you find in that step, you might need to revise your research question; iterating between your question and the existing literature is a normal process. But don’t worry: it doesn’t go on forever. In fact, the iterations taper off – and your research question stabilises – as you develop a firm grasp of the current state of knowledge on your topic.

Step 3: Review previous research

In academic research, from articles to books, it’s common to find a section called a ‘literature review’. The purpose of that section is to describe the state of the art in knowledge on the research question that a project has posed. It demonstrates that researchers have thoroughly and systematically reviewed the relevant findings of previous studies on their topic, and that they have something novel to contribute.

Your own research project should include something like this, even if it’s a high-school term paper. In the research planning process, you’ll want to list at least half a dozen bullet points stating the major findings on your topic by other people. In relation to those findings, you should be able to specify where your project could provide new and necessary insights. There are two basic rhetorical positions one can take in framing the novelty-plus-importance argument required of academic research:

• Position 1 requires you to build on or extend a set of existing ideas; that means saying something like: ‘Person A has argued that X is true about gender; this implies Y, which has not yet been tested. My project will test Y, and if I find evidence to support it, that will change the way we understand gender.’
• Position 2 is to argue that there is a gap in existing knowledge, either because previous research has reached conflicting conclusions or has failed to consider something important. For example, one could say that research on middle schoolers and gender has been limited by being conducted primarily in coeducational environments, and that findings might differ dramatically if research were conducted in more schools where the student body was all-male or all-female.

Your overall goal in this step of the process is to show that your research will be part of a larger conversation: that is, how your project flows from what’s already known, and how it advances, extends or challenges that existing body of knowledge. That will be the contribution of your project, and it constitutes the motivation for your research.

Two things are worth mentioning about your search for sources of relevant previous research. First, you needn’t look only at studies on your precise topic. For example, if you want to study gender-identity formation in schools, you shouldn’t restrict yourself to studies of schools; the empirical setting (schools) is secondary to the larger social process that interests you (how people form gender identity). That process occurs in many different settings, so cast a wide net. Second, be sure to use legitimate sources – meaning publications that have been through some sort of vetting process, whether that involves peer review (as with academic journal articles you might find via Google Scholar) or editorial review (as you’d find in well-known mass media publications, such as The Economist or The Washington Post ). What you’ll want to avoid is using unvetted sources such as personal blogs or Wikipedia. Why? Because anybody can write anything in those forums, and there is no way to know – unless you’re already an expert – if the claims you find there are accurate. Often, they’re not.

Step 4: Choose your data and methods

Whatever your research question is, eventually you’ll need to consider which data source and analytical strategy are most likely to provide the answers you’re seeking. One starting point is to consider whether your question would be best addressed by qualitative data (such as interviews, observations or historical records), quantitative data (such as surveys or census records) or some combination of both. Your ideas about data sources will, in turn, suggest options for analytical methods.

You might need to collect your own data, or you might find everything you need readily available in an existing dataset someone else has created. A great place to start is with a research librarian: university libraries always have them and, at public universities, those librarians can work with the public, including people who aren’t affiliated with the university. If you don’t happen to have a public university and its library close at hand, an ordinary public library can still be a good place to start: the librarians are often well versed in accessing data sources that might be relevant to your study, such as the census, or historical archives, or the Survey of Consumer Finances.

Because your task at this point is to plan research, rather than conduct it, the purpose of this step is not to commit you irrevocably to a course of action. Instead, your goal here is to think through a feasible approach to answering your research question. You’ll need to find out, for example, whether the data you want exist; if not, do you have a realistic chance of gathering the data yourself, or would it be better to modify your research question? In terms of analysis, would your strategy require you to apply statistical methods? If so, do you have those skills? If not, do you have time to learn them, or money to hire a research assistant to run the analysis for you?

Please be aware that qualitative methods in particular are not the casual undertaking they might appear to be. Many people make the mistake of thinking that only quantitative data and methods are scientific and systematic, while qualitative methods are just a fancy way of saying: ‘I talked to some people, read some old newspapers, and drew my own conclusions.’ Nothing could be further from the truth. In the final section of this guide, you’ll find some links to resources that will provide more insight on standards and procedures governing qualitative research, but suffice it to say: there are rules about what constitutes legitimate evidence and valid analytical procedure for qualitative data, just as there are for quantitative data.

Circle back and consider revising your initial plans

As you work through these four steps in planning your project, it’s perfectly normal to circle back and revise. Research planning is rarely a linear process. It’s also common for new and unexpected avenues to suggest themselves. As the sociologist Thorstein Veblen wrote in 1908 : ‘The outcome of any serious research can only be to make two questions grow where only one grew before.’ That’s as true of research planning as it is of a completed project. Try to enjoy the horizons that open up for you in this process, rather than becoming overwhelmed; the four steps, along with the two exercises that follow, will help you focus your plan and make it manageable.

Key points – How to plan a research project

• Planning a research project is essential no matter your academic level or field of study. There is no one ‘best’ way to design research, but there are certain guidelines that can be helpfully applied across disciplines.
• Orient yourself to knowledge-creation. Make the shift from being a consumer of information to being a producer of information.
• Define your research question. Your question frames the rest of your project, sets the scope, and determines the kinds of answers you can find.
• Review previous research on your question. Survey the existing body of relevant knowledge to ensure that your research will be part of a larger conversation.
• Choose your data and methods. For instance, will you be collecting qualitative data, via interviews, or numerical data, via surveys?
• Circle back and consider revising your initial plans. Expect your research question in particular to undergo multiple rounds of refinement as you learn more about your topic.

Good research questions tend to beget more questions. This can be frustrating for those who want to get down to business right away. Try to make room for the unexpected: this is usually how knowledge advances. Many of the most significant discoveries in human history have been made by people who were looking for something else entirely. There are ways to structure your research planning process without over-constraining yourself; the two exercises below are a start, and you can find further methods in the Links and Books section.

The following exercise provides a structured process for advancing your research project planning. After completing it, you’ll be able to do the following:

• describe clearly and concisely the question you’ve chosen to study
• summarise the state of the art in knowledge about the question, and where your project could contribute new insight
• identify the best strategy for gathering and analysing relevant data

In other words, the following provides a systematic means to establish the building blocks of your research project.

Exercise 1: Definition of research question and sources

This exercise prompts you to select and clarify your general interest area, develop a research question, and investigate sources of information. The annotated bibliography will also help you refine your research question so that you can begin the second assignment, a description of the phenomenon you wish to study.

Jot down a few bullet points in response to these two questions, with the understanding that you’ll probably go back and modify your answers as you begin reading other studies relevant to your topic:

• What will be the general topic of your paper?
• What will be the specific topic of your paper?

b) Research question(s)

Use the following guidelines to frame a research question – or questions – that will drive your analysis. As with Part 1 above, you’ll probably find it necessary to change or refine your research question(s) as you complete future assignments.

• Your question should be phrased so that it can’t be answered with a simple ‘yes’ or ‘no’.
• Your question should have more than one plausible answer.
• Your question should draw relationships between two or more concepts; framing the question in terms of How? or What? often works better than asking Why ?

c) Annotated bibliography

Most or all of your background information should come from two sources: scholarly books and journals, or reputable mass media sources. You might be able to access journal articles electronically through your library, using search engines such as JSTOR and Google Scholar. This can save you a great deal of time compared with going to the library in person to search periodicals. General news sources, such as those accessible through LexisNexis, are acceptable, but should be cited sparingly, since they don’t carry the same level of credibility as scholarly sources. As discussed above, unvetted sources such as blogs and Wikipedia should be avoided, because the quality of the information they provide is unreliable and often misleading.

To create an annotated bibliography, provide the following information for at least 10 sources relevant to your specific topic, using the format suggested below.

Name of author(s):

Publication date:

Title of book, chapter, or article:

If a chapter or article, title of journal or book where they appear:

Brief description of this work, including main findings and methods ( c 75 words):

Summary of how this work contributes to your project ( c 75 words):

Brief description of the implications of this work ( c 25 words):

Identify any gap or controversy in knowledge this work points up, and how your project could address those problems ( c 50 words):

Exercise 2: Towards an analysis

Develop a short statement ( c 250 words) about the kind of data that would be useful to address your research question, and how you’d analyse it. Some questions to consider in writing this statement include:

• What are the central concepts or variables in your project? Offer a brief definition of each.
• Do any data sources exist on those concepts or variables, or would you need to collect data?
• Of the analytical strategies you could apply to that data, which would be the most appropriate to answer your question? Which would be the most feasible for you? Consider at least two methods, noting their advantages or disadvantages for your project.

Links & books

One of the best texts ever written about planning and executing research comes from a source that might be unexpected: a 60-year-old work on urban planning by a self-trained scholar. The classic book The Death and Life of Great American Cities (1961) by Jane Jacobs (available complete and free of charge via this link ) is worth reading in its entirety just for the pleasure of it. But the final 20 pages – a concluding chapter titled ‘The Kind of Problem a City Is’ – are really about the process of thinking through and investigating a problem. Highly recommended as a window into the craft of research.

Jacobs’s text references an essay on advancing human knowledge by the mathematician Warren Weaver. At the time, Weaver was director of the Rockefeller Foundation, in charge of funding basic research in the natural and medical sciences. Although the essay is titled ‘A Quarter Century in the Natural Sciences’ (1960) and appears at first blush to be merely a summation of one man’s career, it turns out to be something much bigger and more interesting: a meditation on the history of human beings seeking answers to big questions about the world. Weaver goes back to the 17th century to trace the origins of systematic research thinking, with enthusiasm and vivid anecdotes that make the process come alive. The essay is worth reading in its entirety, and is available free of charge via this link .

For those seeking a more in-depth, professional-level discussion of the logic of research design, the political scientist Harvey Starr provides insight in a compact format in the article ‘Cumulation from Proper Specification: Theory, Logic, Research Design, and “Nice” Laws’ (2005). Starr reviews the ‘research triad’, consisting of the interlinked considerations of formulating a question, selecting relevant theories and applying appropriate methods. The full text of the article, published in the scholarly journal Conflict Management and Peace Science , is available, free of charge, via this link .

Finally, the book Getting What You Came For (1992) by Robert Peters is not only an outstanding guide for anyone contemplating graduate school – from the application process onward – but it also includes several excellent chapters on planning and executing research, applicable across a wide variety of subject areas. It was an invaluable resource for me 25 years ago, and it remains in print with good reason; I recommend it to all my students, particularly Chapter 16 (‘The Thesis Topic: Finding It’), Chapter 17 (‘The Thesis Proposal’) and Chapter 18 (‘The Thesis: Writing It’).

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Find out which of your emotional needs you’ve been neglecting and use tips from human givens therapy to address them

by Denise Winn

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From ideas to studies: how to get ideas and sharpen them into research questions

Jan p vandenbroucke.

1 Leiden University Medical Center, Leiden, the Netherlands

2 Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark

3 Department of Medical Statistics and Centre for Global NCDs, London School of Hygiene and Tropical Medicine, London, UK

Neil Pearce

Where do new research questions come from? This is at best only partially taught in courses or textbooks about clinical or epidemiological research. Methods are taught under the assumption that a researcher already knows the research question and knows which methods will fit that question. Similarly, the real complexity of the thought processes that lead to a scientific undertaking is almost never described in published papers. In this paper, we first discuss how to get an idea that is worth researching. We describe sources of new ideas and how to foster a creative attitude by “cultivating your thoughts”. Only a few of these ideas will make it into a study. Next, we describe how to sharpen and focus a research question so that a study becomes feasible and a valid test of the underlying idea. To do this, the idea needs to be “pruned”. Pruning a research question means cutting away anything that is unnecessary, so that only the essence remains. This includes determining both the latent and the stated objectives, specific pruning questions, and the use of specific schemes to structure reasoning. After this, the following steps include preparation of a brief protocol, conduct of a pilot study, and writing a draft of the paper including draft tables. Then you are ready to carry out your research.

Introduction

How do you get an idea for a study? How do you turn your idea into a testable hypothesis, and turn this into an appropriate and feasible study design? This is usually at best only partially taught in epidemiology courses. Most courses and textbooks assume that you know your research question and the general methods that you will need to answer it. Somehow it is assumed that you can readily translate your idea into a specific framework, such as the PICO framework (Patient, Intervention, Control or Comparison, Outcome) 1 or the FINER framework (Feasible, Interesting, Novel, Ethical, and Relevant) 2 or that you can fit it into counterfactual reasoning. 3 However, before describing your project in one of these frameworks, you first need to have an idea for your study and think about it in general terms: why you might do a study and how you might do a study.

This paper considers the complex process of having ideas, keeping track of them, turning them into studies, trying them out in pilot studies, and writing a draft paper before you finally embark on your study.

The paper is intended for novice researchers in clinical or public health epidemiology. It is not intended to be a comprehensive literature review about creativity, nor a sociology or philosophical treatise about why scientists get particular ideas (and not other ideas). It is based on our personal experience of (a combined) 70+ epidemiologic research-years. We have worked on very different topics, mostly on opposite sides of the globe, yet found that our experiences are quite similar. The fact that these issues are rarely covered in epidemiology courses has provided motivation to reflect on our experience.

Getting new ideas

So how do you get an idea? How some juxtaposition of neural patterns in our brain suddenly creates a new idea is a process that we are far from understanding. According to Karl Popper, the origin of new ideas does not matter; the only thing of interest is to devise how to test them. 4 Over the past decades, the literature has been enriched with new ideas about “being creative” in science – as witnessed in the book Innovation Generation by Ness. 5

In the present paper, we will not cover the literature about creativity and discovery in depth, but we will discuss the issues that we consider relevant to epidemiologic research. We will first consider the more general principles.

The real complexity of the thought processes that lead to a scientific undertaking is almost never described in published papers. Immunologist Medawar claimed that in this respect almost all scientific papers may be a fraud – not in the sense that scientists deliberately produce misleading data, but in the sense that the real thought processes that lead to the data and conclusions are not mentioned. 6 Scientists tell us about their real thought processes in memoirs, inaugural, or valedictory lectures – which is why these are so much more interesting than “standard” papers or presentations.

What strikes our minds: regularities or anomalies?

All sciences study a particular “object of knowledge” (eg, “matter”, “life”). Ideas come from experience and previous knowledge or facts about this object of knowledge, although this knowledge is always filtered through the perspective of one or more theories. 7 Epidemiology studies the distribution and determinants of disease in human populations, 8 and epidemiological ideas arise from observing and thinking about populations. 9 These could be clinical populations (ie, clinical experience, sometimes involving just a few patients), exposure-based populations (eg, workers exposed to a particular chemical), or general populations (geographically defined or sociologically defined). Whatever the population we are interested in, ideas come from observing either regularities or anomalies.

The observation of regularities (“induction”) is a common origin of new ideas. 4 , 10 – 13 Philosopher David Hume described “Induction” as: regularly seeing two things happening in succession (like pushing a switch and a light going on) leads to suspicions of causality. As he pointed out, causality can never be proven by the mere observation of “constant conjunctions”, but observing regularities can start our train of thought. 12

An anomaly (or irregularity) strikes our mind, because it defies our expectations. The regularity that we expected was our “hypothesis” (even if it was not really explicitly formulated); the anomaly is a “refutation”. 4 , 13 It forces us to think about other explanations, and these lead to new hypotheses that we then try to test. Thus, scientists do not usually start from hypotheses that are nicely formulated “out of the blue”, but instead start from previous knowledge and experience; when they are challenged by anomalies, scientists seek new explanations. 14

An interesting way to discover anomalies is to enter a new field of research; since you have other background experience than the people already in the field, you see things that they take for granted but that strike you as odd – at the same time, you may also see new explanations for these anomalies. One of the pioneers of clinical epidemiology, Sackett, once wrote that scientists should “retire” from a field as soon as they become “experts”. 15 When you are too long in a field, you will no longer see the anomalies, and you may even obstruct newcomers with new explanations. Of course, there are differences between scientists: some roam across various fields and others stick to a problem area that they explore with increasing depth – then the increasing depth and the new techniques that one needs for advancing one’s thoughts will be like a “new field”.

Taxonomies of discovery

Few researchers have listed the different ways in which one can arrive at new ideas, that is, lists of ways of discovery. We will present two of them – which have very different origins but remarkable similarities. Several examples of studies corresponding to items on these two lists are given in Appendix Examples A1–A10 .

Sources for new ideas about health care evaluation were described by Crombie and Davies in the chapter “Developing the research question” of their book on Research in Health Care that reflects a UK public health experience. 16

• “Review existing practice […] the current organisation and delivery of health care is not as good as it could be […]”
• “Challenge accepted ideas […] much of health care is based on accepted practice rather than research evidence […]” ( Appendix Example A3 )
• “Look for conflicting views […] which indicate either that there is not enough evidence, or that some practitioners are misinformed”
• “Investigate geographical variation […] reflecting on the reasons [for geographical variation] can be a fruitful source of research questions […]” ( Appendix Example A6 )
• “Identify Cinderella topics […] important areas of health care are often overlooked […]”
• “Let loose the imagination […] look for wild or impossible ideas […] free the mind from the constraints of conventional wisdom […].”

A taxonomy for sources of clinical research questions about medical care and clinical problems was proposed by Hulley and Cummings, in the context of clinical research in the US: 2

• “Build on experience;” your own experience, that of close colleagues with whom you can freely discuss your research ideas, and that of a good mentor, because young researchers might not yet have much experience, “An essential strategy for a young investigator is to apprentice himself to an experienced senior scientist who has the time and interest to work with him regularly.”
• ○ By harvesting “the medical literature and attending journal clubs, national and international meetings, seeking informal conversations with other scientists and colleagues”
• ○ “A sceptical attitude about prevailing beliefs can stimulate good research questions”
• ○ Be alert to “careful observation of patients, which has historically been one of the major sources of descriptive studies” ( Appendix Examples A1 and A2 )
• ○ Your experiences in teaching; having to explain something may make you aware of gaps in your knowledge; questions by patients and colleagues may similarly identify things that we do not fully understand or ignore
• “Keep the imagination roaming […]” by a mixture of creativity and tenacity; “put an unresolved question clearly in view and turn on the mental switch that lets the mind run freely toward it”.

A special mention needs to be made about the last categories of both the lists: “Let loose the imagination” and “Keep the imagination roaming”. These are especially important to find innovative solutions. In many situations wherein you cannot do a perfect study and you run a grave danger of potential confounding or bias, it helps to “get deeply immersed”: to understand the problem biologically, clinically, socially, organizationally, and environmentally will help you to think about what is happening, why it is happening, and whether you can find situations in which the potential confounders or biases do not exist or exists in reverse. You should forget formal designs and think out of the box: you will find instances of studies that mutually reinforce each other and may even arrive at formulating new designs or analytic solutions (see Appendix Examples A7–A10 ).

Keeping track of your ideas

It is not only important to have good ideas but also important to develop them. Researchers who work in laboratories have the habit of keeping “lab logs”. They write down briefly the results of an experiment, note why they think it went wrong, and how they will perform the next experiment. This permits them to trace how they changed the experiments or even the content and the direction of their research. We should do the same in epidemiologic and clinical research, particularly in the stage of creating new ideas. Such notes about ideas can include not only hypotheses and views or results by others but also drawing directed acyclic graphs (DAGs) (see “Intermezzo: specific schemes to structure reasoning” section) to make the causal structures of ideas clear.

The greatest minds kept track of their thoughts. Charles Darwin’s notebooks document his ideas, his observations, his readings, and new theories and facts that struck him. 17 For example, Darwin noted a story that he heard from his father, a medical practitioner. His father recounted that he had been struck by one of his patients’ ways of expressing himself, because he had attended a parent of the patient who had had the same mannerisms – even though the parent had died when the patient was still an infant. Remarks like these still have relevance today when we think about the heredity and evolution of behavior.

The sociologist C Wright Mills carried the description of the process one step further in the appendix of his book on The Sociological Imagination . 18 He encourages young sociologists to set up a file of stacked cards to keep track of “[…] personal experience and professional activities, studies underway and studies planned […]” which “[…] encourages you to capture ‘fringe thoughts’: various ideas which may be by-products of everyday life, stretches of conversations […]”. These notes are continuously reshuffled, regrouped under new headings, and pondered. Mills denounced the habit of most (social) scientists who feel the need to write about their plans only when they are going to apply for a grant. He thought that scientists should continually work with their file of ideas and regularly take stock of how these have evolved.

Such strategies are still relevant today, even if our “logs” are kept in electronic form, particularly because grant writing has become more demanding, hectic, and time-consuming. From such files, new research projects are born: while your ideas gradually develop, you keep wondering what data you might need to prove a certain proposition, and how you might get those data in the easiest way possible. Often, ideas are reshuffled and regrouped under new headings. A new observation, a new piece of literature may make old ones fall into place, or there may suddenly be a new opportunity to work out an old idea.

A complementary advice recently came in a blog from a contemporary sociologist, Aldrich: his advice is to “Write as if you don’t have the data”, that is, to write “[…] the literature review and planning phase of a project, preferably before it has been locked into a specific research design”. 19

The role of emotions

Underlying the discovery process, there are often two emotions: “surprise” and “indignation”. Surprise is the intellectual emotion when we see something happening against expectation: a patient with an unusual exposure, unusual disease manifestation, sudden cure, or sudden ill-understood deterioration; a laboratory result that is an anomaly; and a sudden epidemic of disease in a population. Indignation is the moral emotion: a group of patients is not being treated well because we lack sufficient knowledge, or because we are blundering in organizing health care or in transmitting and applying public health knowledge. Some passion is useful to bring any undertaking to a good end, be it that the passion should be restrained and channeled into polite undertakings, like in a research protocol. While doing the research project, maintaining some of the original passion will help you to find ways to overcome the daily hassles of research, the misadventures, the difficulties of getting others to collaborate, and the difficulties of getting published ( Appendix Example A11 ).

Sharpening the research question: the pruning

Pruning a research question means cutting away anything that is unnecessary, so that only the essence remains.

The initial spark of an idea will usually lead to some rather general research question. Invariably, this is too ambitious, or so all-encompassing that it cannot be researched (at least not within the time frame of a single grant or PhD project). You have to refine your research question into something that is interesting, yet feasible. To do so, you have to know clearly where you are heading. The emphasis on a clear preconceived idea about what you want to attain by your research often comes as a surprise; some people object: “[…] isn’t research about discovery? How can you know in advance what you want to find?”

The social scientist Verschuren proposed the “wristwatch metaphor”. 20 A researcher is not like a beachcomber, who strolls along the beach to see whether anything valuable washed ashore. Rather, a researcher is like someone who has lost her wristwatch on the beach and returns to search for it. She knows what part of the beach to look, she can describe her wristwatch in detail, and once she has found it, she knows that this is the watch she was looking for. Some further background to these ideas can be found in Appendix B .

Charles Medawar wrote in his Advice to a Young Scientist (page 18) 21 that as much as politics is the ‘art of the possible’, research is the ‘art of the soluble’. A research question should be limited to a question that can be solved with the resources at hand. This does not mean that you should preferentially study “trivial” questions with easy solutions. It does mean that you should seek out your particular niche: something specific, something that was overlooked by others, or some new twist to a general question, so that you can make your own contribution.

The concept of “serendipity” is often invoked when thinking of “seeking novelty”: it means finding something that you were not looking for. For a full discussion of the more complex reality that shows how, in reality, “chance favors a prepared mind”, see Appendix C .

Proceed in the inverse order of the paper that you will write

From the aforementioned, we know that we need a precise aim and a soluble research question.

How can we achieve this? The best approach is to “begin at the end”, that is, the conclusion that you hope to support when you eventually publish your research findings, perhaps many years from now. 22 Most medical research papers have a fixed format: introduction, methods, results, discussion. Usually, the discussion has three parts: summary of the results, discussion of the strengths and limitations, and the importance and interpretation of the findings. There you start: you try to imagine what such last lines of the eventual paper might be – in particular what their intent, their message to the reader might be. Another useful strategy would be to imagine what might be written in the separate box “What this paper adds” that many journals nowadays ask to convey the message from the authors clearly and succinctly to the readers.

The “latent” versus the “stated” objective

The pioneer clinical epidemiologist Feinstein wrote that a good research consultant should be like a good clinician, who first wants to learn from the patient: “What is the chief complaint?”, that is, which is the problem that you want to study. Next, “What will you do with the answer?” 22 The latter question is not just about the potential conclusions of the research paper, but more importantly, their meaning. What is the intended effect (or impact) of the findings? He called this the “latent objective”: what do you want to achieve or change by your project; the “stated objective” is different, it is the type of result that the study will deliver. For example, the stated objective can be that you want to do a randomized trial to compare one intervention versus another and that you will look at recurrence of disease. The latent objective might be that you are concerned that one intervention may be harmful to patients, driven by special interests, and that if this is the case it should be abolished.

Rather analogously, the long-time editor of the Annals of Internal Medicine , Edward Huth, proposed in his book about medical publishing the “So-What” and the “Who-Cares” tests: “What may happen if the paper’s message is correct?”; may it change concepts and treatment or stimulate further exciting research? 23 In fact, many funders now require such an “impact statement” as part of the grant application process.

Experienced research consultants know that when trying to discover the latent objective, it is useful to brush aside the detailed protocol and to ask directly what the meaning of the research is. The meaning of the research is often not clearly stated in a formal study protocol that limits itself more or less to “stated aims”. 24 Like a patient who cannot articulate her/his complaints very well, would-be researchers lose themselves in trivial “side issues” or operational details of the protocol. Appendix Examples A2 and A11 explain the importance of elucidating the underlying frustration of the clinician-researcher to clearly guide a research effort.

After initial questions have set the scene and clarified the “latent objective” of a project, the next questions are more operational, translating the latent objective back into a “stated objective”. 22 The stated objective should be a feasible research project. According to Feinstein, one should ask: what maneuver is to be executed (what intervention, deliberate or not, and how is it administered), what groups are to be compared (and why those groups), and what is the outcome that we will study?

In these phases of discussion, one needs to immerse oneself into the problem: one has to understand it biologically and clinically, and how it is dealt with in the daily practice of health care in the setting in which you will do research. Getting deeply immersed in the problem is the only way of arriving at shrewd or new solutions for studies on vexing medical or public health problems ( Appendix Example A9 ). Mere discussion of technical or procedural aspects of a proposed design, data collection, or analysis will usually not lead to new insights.

Specific pruning questions, to ask yourself or others

In initial discussions, one goes back and forth between the general aim (the latent objective), the scientific questions that follow from it, and the possible research designs (with stated objectives). After feeling secure about the “latent” aim, proceed with more specific questions.

• Try to describe exactly the knowledge gap that you want to fill (ie, the watch that you lost at the beach). Is it about etiology, about pathogenesis, about prognosis? What should change for the benefit of a particular group of patients? Try to be as specific as possible. Do your colleagues see these problems and their solutions as you do? – and if not, why don’t they?
• Once you know the point you want to make, describe what table or figure you need to fill the gap in knowledge, that is, what would your results look like? This means drawing a simple table or graph. Are these the data you want? Will these tables convince your colleagues? What objections might they have? Keep in mind that if the research results go against ingrained beliefs, they will be scrutinized mercilessly, so the important aspects of your research should be able to withstand likely objections.
• Thereafter, the questions become more practical: what study design is needed to produce this table, this figure? Can we do this? Do we have the resources or can we find them?

Be self-critical

You should always remain self-critical about the aspects that threaten the validity of your study ( Appendix Example A12 ). 25 If the practical problems are too large, or the research question too unfeasibly grandiose, it might be wise to settle for a less ambitious aim ( Appendix Example A13 ).

Paraphrasing Miettinen, 26 the first decision is whether you should do the study at all. There might be several reasons to decide not to pursue a study. One might be that arriving at a satisfactory design will be impossible, because of biases that you are unable to solve. It serves no purpose to add another study that suffers from the same unsolved problems as previous studies. For example, it does not serve any purpose to do yet another study that shows lower mortality in vegetarians, if you cannot solve the problems of confounding that vegetarians are persons who have different lifestyles in comparison with others. 27 (If, however, you have found a solution – pursue it at all means!) Nevertheless, thinking about the potential problems and ultimate aims of a seemingly impossible question can foster the development of a new study design or a new method of analysis, ( Appendix Examples A2, A9, and A10 ). In the same vein, deciding that you cannot do a study yourself might make you look for collaboration with persons who have the type of data that you do not, for example, in a different population where it is believed that confounding is not so severe or may even be in the opposite direction.

All studies have imperfections, but you need to be aware which ones you can tolerate. 28 In the early stages of an enquiry, an “imperfect” study might still be worthwhile to see whether “there might be something in it”. For example, time trends or ecological comparisons are often seen as poor study designs to assess causality by themselves, but they can be very valuable in helping to develop ideas, as well as providing a “reality check” about the potential credibility of some hypothesis. 29

Conversely, it is pointless to add yet another study, however perfect, showing what is already known very well – unless you have to do it for “political” purposes, say, for convincing decision makers in your own country.

Finally, it is not a good use of your time to chase something completely improbable or futile. For example, at the present state of the debate, it serves no purpose to add another study about the presence or absence of clinical benefits or harms of homeopathy: no one will change his or her mind about the issue. 30 , 31 An exception might be something that is highly improbable, but that if true might lead to completely revolutionary insights – such an idea might be worth pursuing, even if the initial reaction of outsiders might remain incredulousness. Still, you should pursue unlikely hypotheses knowingly, that is, with the right amount of self-criticism – in particular, to make yourself aware when you are in a blind alley.

To keep yourself on the “straight and narrow”, it helps to form a group of people who cover different aspects of the problem you want to study: clinical, biochemical and physiological, and methodological – to discuss the project as equals. Such discussions can not only be tremendous fun but also will invariably lead to more profound and diverse research questions and will help to find solutions for practical as well as theoretical problems. In the right circumstances of a “machtsfreie Dialog” 32 (a communication in which all are equal and that is only based on rational arguments and not on power – which all scientific debates should be), such a circle of colleagues and friends will help you to be self-critical.

Finally, when pursuing one’s research interests, one should be prepared to learn new skills from other fields or collaborate with others from these fields. If one stays only with the techniques and skills that one knows, it might not lead to the desired answers. 33

What if the data already exist? And you are employed to do a particular analysis with an existing protocol?

Even in the circumstance that the data already exist, it greatly helps to not jump into an analysis, but to think for yourself what you would ideally like to do – if there were no constraints. As Aldrich mentioned, 19 also in that circumstance researchers should still

[…] begin their literature review and conceptual modeling as if they had the luxury of a blank slate […]. Writing without data constraints will, I believe, free their imaginations to range widely over the realm of possibilities, before they are brought to earth by practical necessities.

Moreover, this will make clear what compromises one will make by accepting the available data and the existing analysis protocol. Otherwise, one starts an analysis without being sufficiently aware of the limitations of a particular analysis on particular data.

The difference between explanatory and pragmatic research

A useful distinction is between explanatory and pragmatic research: the former is research that aims at discovery and explanation, whereas the latter is intended to evaluate interventions or diagnostic procedures. The first type of research consists of chasing explanations by pursuing different and evolving hypotheses; the second type of research aims at making decisions about actions in future patients. 27 The two opposites differ strongly in their thinking about the types of studies to pursue (eg, observational vs randomized), about the role of prior specification of a research hypothesis, about the need for “sticking to a prespecified protocol”, and about subgroup analyses and multiplicity of analyses. Some of these will be explained in the following subheadings.

The difference between explanatory and pragmatic trials is sometimes thought to mirror the difference between doing randomized trials versus observational research. However, even for randomized trials, a difference exists between “ pragmatic” and “explanatory” trials (coined first by Schwartz and Lellouch). 34 Because it is not always easy to delineate what aspects of a randomized trial are “pragmatic” or “explanatory”, instruments have been crafted to help researchers and evaluators. 35 , 36 Conversely, not all observational studies are explanatory: some are needed for pragmatic decisions (think about adverse effects of drugs and also about diagnostic evaluations where studies should influence practice guidelines) – while other studies aim at explaining how nature works.

Which iterations should you allow yourself? Anticipating the next project

Thinking about a research problem is a strongly iterative process. 2 , 33 , 37 One starts with a broad aim and then tries out several possible ideas about studies that might lead to better understanding or to better solutions.

Likewise, project proposals characteristically go through many iterations. In the early phases of the research, it is commonplace that the study design or even the research question is changed. Specific suggestions about common research problems and their potential solutions were given by Hulley and Cummings, 2 which we reproduce in Appendix D .

The revision of the aims of a project may be profound, in particular in explanatory research (see “The difference between explanatory and pragmatic research” section), in contrast to pragmatic research (see “Shouldn’t you stick to a predefined protocol?” section). The chemist Whitesides wrote: “Often the objectives of a paper when it is finished are different from those used to justify starting the work. Much of good science is opportunistic and revisionist”. 38 Along a similar line, Medawar proposed that to do justice to the real thought processes of a research undertaking, the discussion section of a paper should come at the beginning, since the thought processes of a scientist start with an expectation about particular results. The expectation determines which findings are of interest and why they will be interpreted in a particular way. 6 He added that in real scientific life, scientists get new ideas (ie, new expectations) while doing their research, but “[…] many of them apparently are ashamed to admit, that hypotheses appear in their mind along uncharted byways of thought”. 6

“Seeing something in the data” can be an important part of scientific discovery. This is often decried as “data dredging”, which it is not: one sees something because of one’s background knowledge and thereby there always is some “prior” that exists – even if that was not specified beforehand in the study protocol. 27 , 39 The word “exploratory” is often misused when it is used to characterize a study. True “exploratory” data analysis would only exists if it is mindlessly done, such as a Genome Wide Association Study (GWAS) analysis – but even GWAS analyses have specific aims, which becomes clear when results are interpreted and some findings are designated as “important” and others not. As stated by Rothman:

Hypotheses are not generated by data; they are proposed by scientists. The process by which scientists use their imagination to create hypotheses has no formal methodology […]. Any study, whether considered exploratory or not, can serve to refute a hypothesis. 40

Appendix Examples A5 and A7 show how projects changed mid-course because of a new discovery in the data or in the background knowledge about a research topic.

Generally, it is a good habit to think through what the next project might be, once you will have the result of the project you are currently thinking about, so as to know what direction your research might take. 33

Shouldn’t you stick to a predefined protocol?

Different research aims, in particular along the “explanatory” versus “pragmatic” continuum, may lead to different attitudes on the amount of change that protocols may endure while doing research. 27 , 39 For randomized trials, and also for pragmatic observational research, the research question is usually fixed: does a new therapy lead to better outcomes for a particular group of patients in a particular setting? Because findings from randomized trials or pragmatic observational research may lead to millions of patients to adopt or avoid a particular therapy (which means that their well-being or even life depends on the research) researchers are generally not at liberty to change their hypotheses at the last moment – for example, by suddenly declaring an interest in a particular subgroup. They should stick to the predefined protocol. If a change is needed for practical reasons, it should be clearly stated in the resulting publications. This makes thinking about research questions and doing pilot studies beforehand all the more important (see “Pilot Study” section).

In contrast, much epidemiologic and clinical research tries to explain how nature works. This gives greater leeway: exploration of data can lead to new insights. Thus, “sticking to the protocol” is a good rule for randomized trials and pragmatic observational research, but may be counterproductive for explanatory research. 39 , 41 Nevertheless, it is good to keep track of the changes in your thoughts and in the protocol, even if only for yourself. In practice, many situations are intermediate; in particular when using large available data sets, it often happens that one envisages in a protocol what one would do with the data, only to discover upon opening the data files that the data fall short or are more complex than imagined; this is another reason for doing pilot studies, even with large available data sets (see “Pilot Study” section).

How much literature should you read?

If you are setting up a new research project in a new area, do not start by reading too much. You will quickly drown in the ideas of others. Rather, read a few general reviews that identify unanswered problems. Only return to the literature after you have defined your research question and provisionally your study design. Now, the literature suddenly becomes extremely interesting, since you know what types of papers you need. You also know what the potential objections and shortcomings are of the different design options, because you thought about them yourself. The number of relevant papers usually greatly shrinks, see Appendix Example A4 .

Shouldn’t you do a systematic review first?

It is argued that before embarking on a new piece of research, one should first do a systematic review and/or meta-analysis, because this may help to define the gaps in knowledge more precisely, and guide new research – or may show that the question has been solved. This argument is somewhat circular. A systematic review is a piece of research in itself, intended for publication, and requires much time and effort. Like any piece of research, it requires a clear research question. As such it does not “identify gaps”: a systematic review is about a research question which is already specified, but for which more information is needed. Thus, the main function of the advice to first do a systematic review is to know whether the research question that one has in mind has not yet been solved by others. Perusing the literature in depth is absolutely needed, for example, before embarking on a randomized trial or on a major observational study. However, this is not the same as doing a formal systematic review. In-depth scoping of the literature will suffice. If it is found that potentially valuable studies already exist on the research question that one has in mind, then the new study that one is thinking about may be discarded, and a systematic review should be done instead.

Intermezzo: specific schemes to structure reasoning

Specific schemes have been proposed to guide our reasoning between the stage of delineation of the “gap in knowledge” and the stage of proposing the research design.

The acronym FINER (feasible, interesting, novel, ethical, and relevant) was coined by Hulley and Cummings 2 and denotes the different aspects that one should consider to judge a budding research proposal. These words are a good checklist for an in-depth self-scrutiny of your research. The central aspects are the feasibility and whether the possible answers are exciting (and/or much needed).

The PICO format (Patient, Intervention, Control or Comparison, Outcome) is advocated by the evidence-based medicine and Cochrane movements and is very useful for clinical therapeutic research, particularly randomized controlled trials (RCTs). 1 , 42 Questions about therapeutic interventions are highly specific, for example, a particular chemotherapeutic scheme (the intervention) is proposed to study survival (the outcome) among young women with a particular form of stage III breast cancer (the patients). This framework is less useful, and becomes a bit pointless, for etiologic research about generalizable questions such as: “Does smoking cause lung cancer?” which applies to all humans and to different types of smoking. Of course, all research will be done in particular population, with particular smoking habits, but this does not necessarily define the research question. Some of the first investigations about smoking and lung cancer were done in male doctors aged ≥35 years in the UK 43 – this was a very convenient group to research, but being a male doctor in the UK is not part of the research question.

The PICO format is thus most applicable for pragmatic research. A much more detailed and elaborate scheme for pragmatic research was proposed by the US Patient-Centered Outcomes Research Institute (PCORI) which has published Methodology Standards, including “Standards for Formulating Research Questions”. While we would not agree with all six standards, junior investigators may find the structure useful as they think through their options – especially for pragmatic research questions. 44

Counterfactual reasoning 3 emphasizes those aspects of the “ideal randomized trial” that should be mimicked by an observational study. A key question is whether your study is addressing a hypothesis that could in theory be studied in a randomized trial. For example, if the research question is “does smoking cause lung cancer?”, then this is a question that could in theory (but not in practice) be addressed by randomizing study participants to be smokers or nonsmokers. In this situation, it may be useful to design your observational study with the intention of obtaining the same answer that would have been obtained if you had been able to do a randomized trial.

However, the aims of explanatory observational research are different from those of randomized trials. 27 Explanatory research about disease etiology may involve “states” like being female, being old, being obese, having hypertension, having a high serum cholesterol, carrying the BrCa1 gene, and so on, as causes of disease. None of these causes are interventions. In contrast, RCTs focus on what to do to change particular causes: which interventions are feasible and work? For example, being female might expose a person to job discrimination; the intervention might be to have women on the appointment committee or to use some kind of positive discrimination. Likewise, the gene for phenylketonuria leads to disease, but the intervention is to change the diet. For carriers of BRCa1 genes, different strategies can be evaluated in RCTs to evaluate their effectiveness in preventing premature death due to breast cancer: frequent screening, prophylactic mastectomy, hormone treatment, and so on – which may have different effects. For obesity or hypertension or hypercholesterolemia, different types of interventions are possible – with potentially different effects and different adverse effects.

The interventionist outlook, that is, trying to mimic an RCT, can be very useful, for some type of observational studies, for example, about the adverse effects of drugs. It helps to make certain that one can mimic an “intervention” (ie, patients starting to use particular drugs) that is specific and consistent in groups of patients that are comparable (more technically, exchangeable – meaning that the results of the investigation would not change if the persons exposed and nonexposed were swapped). These conditions can be met in a credible way, if there are competing drugs for a similar indication, so that there is an active drug comparator: the interventions (use of different drugs in different patients) will be well defined, and the patients on the different drugs will tend to be comparable. This works particularly well if you are focusing on adverse drug effects that were unknown or unpredictable at the time of prescription. 45 , 46 For example, you may obtain more valid findings in a study that compares the adverse effects of two different beta agonists for asthma care (ie, two different drugs within the same class), than to design a study which compares patients who are prescribed beta agonists with patients who are prescribed other asthma medication, or no medication at all – because the latter might be a highly different group of patients. 47

As mentioned, there are some important studies about causes of diseases where a randomized trial is not feasible, even in theory. In particular, there are various “states” which are major causes of disease (obesity, cholesterol, hypertension, diabetes, etc). These states strongly affect the risks of disease and death, but cannot be randomized. For example, it is difficult to conceive of randomizing study participants to be obese or not obese; however, we could randomize them for the reduction of obesity, for example, through exercise, but such a study would assess the effects of a particular intervention, not of obesity itself. Still, it remains important to estimate the overall effects of obesity, that is, to answer the question “would this group of people have had different health status, on the average, if they had not been obese”. In this situation, the concept of “interventions” is not relevant to designing your study (at least in the way that the term “intervention” is commonly used). What is more relevant is simply to focus on the counterfactual contrast which is being assessed (eg, a body mass index [BMI] of 35 versus a BMI of 25), without specifying how this contrast came about.

A technique that has gone hand in hand with counterfactual reasoning in epidemiology is drawing DAGs; several introductions to DAG theory can be found in epidemiologic textbooks. 3 , 48 DAGs can be useful in the brainstorming phase of a study, after the general research question has been defined. At this stage, a general structure for the study is envisaged and the complexity of the causal processes needs clarification. A DAG can be extremely useful for illustrating the context in which a causal question is being asked, the assumptions that will be involved in the analyses (eg, whether a particular risk factor is a confounder, a mediator, or a col-lider), and help us question the validity of our reasoning. 49 Using DAGs helps us also decide which variables we need to collect information on and how they should be measured and defined. Given that DAGs root in causal thinking, their construction is, of necessity, subjective.

Preparation: pilot study, protocol, and advance writing

Doing a pilot study and collecting ancillary information about feasibility.

May I now start? is a question heard after lengthy deliberations about the research question and the potential studies that follow from it. Such deliberations almost invariably produce a lot of enthusiasm and exhilaration – because they are fun. The researcher wants to begin collecting data or start the analysis. However, Crombie and Davies, in their chapter about “Developing the research question” state emphatically: “Don’t rush into a study”. 16 Separate from doing a pilot study, which is about the procedures of your study, you may also need to collect ancillary information before actually starting your study.

Pilot study

Even if you think you are totally certain of what you want, you should first do a pilot study, based on a brief protocol. 2 , 22 That initial protocol should be easy to write. You have already discussed the aim and design of your study. Write them down. You expect a particular type of information that is essential and that will tell the essence of your message (a particular 2-by-2 or X-by-Y table, a particular graph), which you can describe.

Pilot studies are not done to know the likely direction of the results; instead, the aim is to see whether you will be able to perform the procedures of your study – and ultimately whether that really is the study you want to do. 50 The aim is to save yourself from embarrassment: data that very surprisingly do not turn out to be what you expected, questionnaires that are misunderstood or do not deliver the answers that you need or that are not returned, laboratories that do not produce, patients who do not show up, heads of other departments who block access to their patients or materials, or yourself who needs more time to manage the complexity of the undertaking.

We have never heard of someone who was sorry for having done a pilot. Conversely, we know many persons who found out at much personal embarrassment and institutional cost that their project was unfeasible. In intermediate cases, the pilot may show the need to change questionnaires or procedures before the study goes ahead.

In principle, a pilot study should be exactly like your final study and test out all your procedures on a small number of persons. Often, it is better to approach the task piecemeal and pilot different aspects of the research one by one.

A tough question is how to do pilot studies and pilot analyses when ethical or institutional review board approval is necessary for some of the actions in a pilot study. One solution might be to avoid piloting some procedures; for example, try parts of the procedure – for example, you may not be able to randomize in a pilot, but you may be able to try out data collection procedures and forms. There is a degree of circularity about piloting, also in obtaining funding, as one may need funding for the pilot. In practice, the best step might be to ask the ethics committee or review board of your institute which aspects of the research can be piloted and under what conditions.

In Appendix E , several questions that you might ask in pilot studies are listed. They may lead to profound reassessments of your research – particularly if you are piloting the collection of new data, but also if the research involves analyses of existing data.

Ancillary information

It may be necessary to collect additional information about event rates or standard deviations of measurements to calculate the statistical precision that might be obtained. Also, sometimes you need other ways of “testing the water” like procedures to streamlining data collection from different centers in order to know whether the study is feasible. Depending on the study size and importance, such activities may become studies in themselves and actually take a lot of time and money.

Advance writing of paper: before full data collection and/or analysis

Whitesides’ advice is:

The key to efficient use of your and my time is that we start exchanging outlines and proposals as early in a project as possible. Do not, under any circumstances, wait until the collection of data is ‘complete’ before starting to write an outline. 38

After the pilot study, you have a firm grasp of all elements that are necessary for a scientific paper: introduction, materials and methods, results, and discussion. In the introduction, you explain why you have done this research. Almost always, an introduction comprises three ideas: what is the general problem? what is the particular research question? what study will you perform to answer that question? This is followed by the materials and methods section. They have been extensively discussed and have been fine-tuned in the study protocol and the pilot study. Thereafter come the results sections. By now, you know what tables or figures you want and how you can obtain them, but not what the final numbers will look like. You will also have an idea about the auxiliary tables that you might need to explain your data to others (such as a table with the baseline characteristics or an additional table with a subgroup analysis). You can now draft the layouts of all these tables. Visualizing the presentation of your results in advance is the “bare minimum” of writing in advance.

Finally, the discussion section. Can you write a discussion before you know the final data? Of course you can; you even must think ahead. In principle, there are only three possible outcomes: the study can give the results that you hoped for; it can show the inverse; or something indeterminate in between. In all instances, you can imagine how you will react. One possibility is that you are disappointed by the results of your study, and you will tend to find excuses for why it did not produce the results you hoped for. What excuses might your produce? The other possibility is that it does show what you wanted; then you may have to imagine how others will react and what their objections might be. If the results are indeterminate, everybody might be disappointed, and you will need to explain the failure of your research to give clear-cut results. When you detect a specific weakness by imagining this situation, you may wish to change aspects of your study.

As we explain in Appendix F , there is no need to write a very extensive paper as a first draft – on the contrary, it might be more useful to write a short paper, which has the advantage that others will more readily read it and comment on it.

Never be afraid to discuss your study at all stages extensively with others, not only your immediate research colleagues but also semi-outsiders and also in this advance-writing stage. If you know, or are told by others, that a particular direction of your results might not be believed and therefore draw criticism because of some potential deficiency in your study, why not remedy it at this stage? Looking at what you have written, or by discussing potential results with others, you will be able to imagine more clearly what your readers and critical colleagues might object to.

Writing a paper beforehand is the ultimate test of whether the research project is what you wanted, whether your reasoning flows logically, or whether you forgot something. The initial draft will be a yardstick for yourself and for others – whatever happens during the course of your research. This will help you to surmount surprise happenings: you have written down where you started and why, and therefore you will also know very securely when and why you have to take a detour – or even a U-turn.

Writing is difficult and time-consuming. Writing a paper can easily take 5–10 revisions, which might span a full year (inclusive of the time it takes your supervisor or your colleagues to produce comments). During the writing, you will often be obliged to go back to the data and do additional or different analyses. Since your paper will need many revisions, and this will take such a long time, why not take a head-start at the beginning of your data collection? It will save frustration and lost time at the end of your project.

Many guidelines and advices exist about writing, both about the substance (how to use words and phrases) and about the process. All beginning researchers should have a look at some books and papers about writing, and seasoned researchers can still profit from rereading them. Several reporting guidelines exist for several types of studies (RCTs, observational, diagnostic research, etc). They are often very detailed, in describing what should be in title, abstract, and so on. Although they should not be mechanically adhered to, 28 they help writing. In Appendix F , we have collected some wisdom that we particularly liked; several books on writing are listed, as well as reporting guidelines that help researchers to craft papers that are readable and contain all the information that is necessary and useful to others.

Now you can start “your research”

After the piloting and after having written your paper, you are ready to start your data collection, your analysis, or whatever is needed to “do your research”.

The work that is needed before you can start to “do your research” will take a great deal of time and effort. What will you have achieved after setting up a piece of research following the lengthy and involved precepts of this paper? You will have specified a limited research question that you will solve. You will add one little shining stone to the large mosaic of science. At the time that you do the study, you may still be too close to see its effect on the overall picture. That will come over the years.

Further reading

Some texts that we mention in the paper might be especially worthwhile for further reading; see Appendix G .

Acknowledgments

We thank Miguel Hernán, Stuart Pocock, and Bianca De Stavola for their informative comments on an earlier draft manuscript, as well as two anonymous reviewers of Clinical Epidemiology . The Centre for Global NCDs is supported by the Wellcome Trust Institutional Strategic Support Fund (097834/Z/11/B). This work was also supported by the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013 / ERC grant agreement number 668954).

The authors report no conflicts of interest in this work.

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• Starting the research process

A Beginner's Guide to Starting the Research Process

When you have to write a thesis or dissertation , it can be hard to know where to begin, but there are some clear steps you can follow.

The research process often begins with a very broad idea for a topic you’d like to know more about. You do some preliminary research to identify a  problem . After refining your research questions , you can lay out the foundations of your research design , leading to a proposal that outlines your ideas and plans.

This article takes you through the first steps of the research process, helping you narrow down your ideas and build up a strong foundation for your research project.

Table of contents

Step 1: choose your topic, step 2: identify a problem, step 3: formulate research questions, step 4: create a research design, step 5: write a research proposal, other interesting articles.

First you have to come up with some ideas. Your thesis or dissertation topic can start out very broad. Think about the general area or field you’re interested in—maybe you already have specific research interests based on classes you’ve taken, or maybe you had to consider your topic when applying to graduate school and writing a statement of purpose .

Even if you already have a good sense of your topic, you’ll need to read widely to build background knowledge and begin narrowing down your ideas. Conduct an initial literature review to begin gathering relevant sources. As you read, take notes and try to identify problems, questions, debates, contradictions and gaps. Your aim is to narrow down from a broad area of interest to a specific niche.

Make sure to consider the practicalities: the requirements of your programme, the amount of time you have to complete the research, and how difficult it will be to access sources and data on the topic. Before moving onto the next stage, it’s a good idea to discuss the topic with your thesis supervisor.

>>Read more about narrowing down a research topic

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So you’ve settled on a topic and found a niche—but what exactly will your research investigate, and why does it matter? To give your project focus and purpose, you have to define a research problem .

The problem might be a practical issue—for example, a process or practice that isn’t working well, an area of concern in an organization’s performance, or a difficulty faced by a specific group of people in society.

Alternatively, you might choose to investigate a theoretical problem—for example, an underexplored phenomenon or relationship, a contradiction between different models or theories, or an unresolved debate among scholars.

To put the problem in context and set your objectives, you can write a problem statement . This describes who the problem affects, why research is needed, and how your research project will contribute to solving it.

>>Read more about defining a research problem

Next, based on the problem statement, you need to write one or more research questions . These target exactly what you want to find out. They might focus on describing, comparing, evaluating, or explaining the research problem.

A strong research question should be specific enough that you can answer it thoroughly using appropriate qualitative or quantitative research methods. It should also be complex enough to require in-depth investigation, analysis, and argument. Questions that can be answered with “yes/no” or with easily available facts are not complex enough for a thesis or dissertation.

In some types of research, at this stage you might also have to develop a conceptual framework and testable hypotheses .

>>See research question examples

The research design is a practical framework for answering your research questions. It involves making decisions about the type of data you need, the methods you’ll use to collect and analyze it, and the location and timescale of your research.

There are often many possible paths you can take to answering your questions. The decisions you make will partly be based on your priorities. For example, do you want to determine causes and effects, draw generalizable conclusions, or understand the details of a specific context?

You need to decide whether you will use primary or secondary data and qualitative or quantitative methods . You also need to determine the specific tools, procedures, and materials you’ll use to collect and analyze your data, as well as your criteria for selecting participants or sources.

>>Read more about creating a research design

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Finally, after completing these steps, you are ready to complete a research proposal . The proposal outlines the context, relevance, purpose, and plan of your research.

As well as outlining the background, problem statement, and research questions, the proposal should also include a literature review that shows how your project will fit into existing work on the topic. The research design section describes your approach and explains exactly what you will do.

You might have to get the proposal approved by your supervisor before you get started, and it will guide the process of writing your thesis or dissertation.

>>Read more about writing a research proposal

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

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Greenhouse Grower’s Hot Takes on Geranium, Agastache, and Rhododendron

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13 new horticulture research projects you need to know about.

Phytophthora species are well-known and recurrent pathogens of ornamental greenhouses and nurseries in the U.S.

The Horticultural Research Institute (HRI), the foundation of AmericanHort , has announced the portfolio of research projects receiving 2022 funding. Projects reflect HRI’s research priority areas of quantifying plant benefits, creating innovative solutions, gathering consumer insights, and producing practical and actionable solutions. HRI is providing a total of $417,039 in financial support this year.

“Now celebrating its 60th year, HRI is more relevant to the success of the horticultural industry than ever before,” says Alan Jones ( Manor View Farm , Monkton, MD), HRI President. “The projects selected for 2022 funding represent a diverse selection of research topics showcasing ‘The Power of Plants.’ To date, HRI has supported $9.5 million in research grants and scholarships and looks forward to expanded funding as the endowment continues to grow.”

The Horticultural Research Institute’s mission is to direct, fund, promote, and communicate horticulture research. Supporting research that challenges current methods and bridges the divide between businesses and the consumer is exactly how HRI helps build prosperous businesses, advance the green industry, and fulfill its core vision.

“HRI supports projects where the outcomes impact the bottom line for industry businesses,” says Jennifer Gray, HRI administrator. “The projects selected for funding encourage innovative solutions, provide practical application, and will garner valuable information companies can use to grow their businesses.”

Here’s a closer look at the projects receiving 2022 funding.

Quantifying Plant Benefits

Measuring the Benefits of Plants: Improved Cardiovascular Health and Well-being from Visual Exposure to Plants (J. Hollander, Tufts University): New research findings and tools in biometrics have advanced this field drastically and offer significant opportunities to better quantify the benefits of plants. These new tools dramatically improve understanding of how the unconscious human mind responds to plants and what that means for cardiovascular health and wellbeing. These technologies give us the means to compare horticultural elements in ways that were not possible before bringing complex data to bear to quantify the benefits of plants.

Creating Innovative Solutions

• Creation of Emerald Ash Borer-Resistant “Lingering Ash” Cultivars for Restoration of Ash as Landscape and Street Trees (S. Merkle, University of Georgia): North American ash species are under threat of destruction by the emerald ash borer (EAB; Agrilus planipennis ), an exotic wood-boring beetle that has destroyed millions of ash trees. “Lingering ash” trees are individual ash trees that have been identified as potentially EAB-resistant by their persistence in populations where EAB-induced mortality exceeds 99%. Clonally propagating these lingering ash trees or selected progeny from them would allow clonal testing of potential EAB-resistant genotypes to confirm genetic-based resistance and the development of elite EAB-resistant ash cultivars for production by the nursery industry and planting by landowners and municipalities as landscape and street trees.
• Stimulating Adventitious Root Formation in Recalcitrant Woody Plants with Agrobacterium rhizogenes (H. Liang, Clemson University): Some woody plant species are notoriously difficult to form adventitious roots. This project aims to examine the rooting stimulation effect of Agrobacterium rhizogenes, a soil-borne gram-negative bacterium that induces hairy roots in dicotyledonous plants, on cuttings of American chestnut ( Castanea dentata ), and yellow-flowering camellias. The project objectives are to evaluate the effect of A. rhizogenes on promoting rooting and identify optimal strains and reveal the physiological and biochemical responses during adventitious root formation induced by A. rhizogenes.
• Tulipalins: A Natural Fungicide for Greenhouse Hydrangeas from a Tulip Bulb Waste Stream (T. Gianfagna, Rutgers-The State University of New Jersey): Tulip bulbs from cut flower production are considered a substantial waste-stream product. Tulip bulbs have been found to contain tulipalin lactones, which have anti-fungal properties, especially against Botrytis cinerea . Botrytis is a soilborne fungus that affects greenhouse-grown hydrangeas at several stages of production by damaging the flowers and the leaves. We think that a possible way to control Botrytis would be by using a natural anti-fungal spray or compost containing tulipalin.

Gathering Consumer Insights

• Enhancing Marketplace Acceptance of Native Plants (A. Rihn, University of Tennessee): Traditionally, retailers have not had highly effective marketing of a wide variety of native plants and educating their customers about which plants are native in their region. Some retailers may perceive that consumer may be unaware of the many benefits that native plants provide or that consumers are not interested in environmental benefits. The goal of this project is to take the first step to enhance the marketing of native plants by assessing consumer demand, profiling consumers by their values and native plant acceptance, and identify consumer preferences for native plants to ultimately increase eco-conscious plantings in landscapes that improve environmental health and biodiversity.
• Images of People or Plants: Which Sells More Plants? (B. Behe, Michigan State University; J. Mundel, Arizona State University): A majority of signage in both independent retail garden centers and home improvement centers show images of plants, not people. This is due largely to a desire to show consumers what the mature plant will look like. However, a theory called image congruency states that people identify strongly with products used by people who look like they feel. The objective is to identify which helps sell more plants: images of people congruent with the observer holding a plant, or an image of the plant itself.

Producing Practical And Actionable Solutions

• Improved Irrigation Efficiency Through Modeling and Spatial Distribution Analysis (P. Bartley, Auburn University): Improper irrigation management in container production can seriously affect crop productivity and cause issues such as overuse of water resources and nutrient losses to surrounding water bodies. The overall goal of this research is to evaluate and optimize irrigation parameters for specialty crop producers using soilless container cultivation. The results are intended to aid researchers and producers in characterizing irrigation efficiency and dynamic root substrate interactions in order to improve the sustainability of container cultivation of specialty crops.
• Improving Water Management in Pine Bark Substrates via Pore Size Characterization and Infiltration Testing (R. Stewart, Virginia Polytechnic Institute and State University): Containerized nurseries require proper management of water within individual pots to minimize shrinkage or crop loss and to ensure environmental and economic sustainability. It is commonly assumed that soilless substrates are able to receive water through their surface at an infinite rate (in/hr), and that their capacity to retain water remains the same throughout production. In this project, researchers seek to better understand and characterize water infiltration and storage processes in pine bark substrates composed of three different size fractions.
• Management Options for Jumping Worms in Private & Commercial Landscapes and Natural Areas (E. Buchholz, University of Minnesota Landscape Arboretum): Jumping worms are a growing concern within the horticultural community throughout the eastern half of the U.S. Amynthas spp. have been shown to have a significant impact in the losses of leaf litter and nutrient levels in surface soils. There are no practical methods of control or removal. This research will focus on determining which methods and products can offer a solution.
• Periodical Cicada: Study of Potential Controls for the Tennessee Nursery Industry (D. Airhart, Tennessee Technological University): The goal of this research project is preventing or controlling periodical cicada oviposition damage associated with nursery tree crops. To accomplish this goal, two major priorities will be addressed: 1) evaluation of some new or typical insecticide treatments to manage periodical cicada adults to identify more effective management options; and 2) assessment of nursery tree damages by periodical cicada adults (Brood X, 2021) by oviposition, now starting in eastern Tennessee.
• Preliminary Study on the Parasitoid Complex of the Box Tree Moth in Asia for a Classical Biological Control Program in North America (M. Kenis, CAB): The objective of the project will be to initiate the research and foreign exploration needed to implement a classical biological control program for box tree moth through the introduction of parasitoids from the region of origin to North America for permanent establishment and control. This first stage will consist in surveys and collections of parasitoids in East Asia and in the establishment of parasitoid cultures at the quarantine laboratory of CABI in Switzerland. After the establishment of cultures and initiation of efficacy and host specificity studies at the CABI quarantine, work in subsequent years will focus on sending the most promising candidate BTM parasitoids to the USDA-APHIS quarantine laboratory in Buzzard’s Bay, Massachusetts to evaluate possible impacts on non-target species to support an application for a U.S. release permit.
• Preventing Disease Outbreaks in Ornamental Nurseries: Determining Most Effective Diagnostics Tools and Developing a Rapid Diagnostics Test for Phytophthora Species Infecting Ornamental Crops (J. Del Castillo, University of California Davis): Phytophthora species are well-known and recurrent pathogens of ornamental greenhouses and nurseries in the U.S. The development of faster and more specific diagnostics tool is imperative to determine in a timely fashion if plants are infested with Phytophthora and consequently prevent pathogen spread. The objectives of this project are to: 1) Compare and determine the efficacy of the currently available diagnostics tools to diagnose several Phytophthora species, and 2) Develop a rapid and more specific Phytophthora genus and species-specific detection tool that can be implemented in the field.
• Soil Microbiomes for Plant Health: Exploring Microbes in the Soil for Candidates That Protect Plants Against Root Rot Disease Caused by Phytophthora cinnamomic (J. Burns, Case Western Reserve University): Between 20% to 40% of crop productivity worldwide is lost to plant diseases every year, and plant diseases cost the global economy around $220 billion/year. While chemical control of many plant diseases is possible, pathogens often evolve and become resistant to these measures. Biocontrol using soil microbial species, or the soil microbiome, has great potential in agriculture and horticulture to reduce our reliance on chemical control, enhance plant health, and maintain global food security. The goal of this research is to characterize this complex community, which is essential to the future development of probiotic products that might enhance plant health.

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The Horticultural Research Institute , the AmericanHort Foundation, supports scientific research and students for the advancement of the horticultural industry. HRI was established by industry leaders on the premise that no one could better direct needed research to advance horticulture than the very people who work in it, day in and day out. See all author stories here.

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The Future of Good Jobs: Projections through 2031

The future of good jobs, projections through 2031, full report.

• Press Release

Even against a backdrop of economic uncertainty—driven by high inflation and interest rates, generative AI, international conflicts, changing demographics, and a shifting policy environment—the future of good jobs in the US looks promising. Economic opportunity will increasingly favor workers with higher levels of education and training.

The Future of Good Jobs: Projections through 2031 forecasts the number of good jobs in 2031 for workers ages 25–64 by 22 occupational groups and three educational pathways (bachelor’s degree, middle skills, and high school). The report finds that while there will be good jobs on every educational pathway in 2031, only 15 percent will be available to workers on the high school pathway, compared to 66 percent on the bachelor’s degree pathway and 19 percent on the middle-skills pathway.

Source: Georgetown University Center on Education and the Workforce projections using Carnevale et al., After Everything , 2023; US Census Bureau and Bureau of Labor Statistics, Current Population Survey (CPS), March Supplement, 1992–2020; and US Bureau of Economic Analysis, SARPP Regional Price Parities by State, 2020.

Note: Values may not sum to 100 percent due to rounding. The minimum earnings threshold for good jobs is adjusted for the difference in cost of living by state and for inflation to 2020 dollars using R-CPI-U-RS.

Good Jobs and Promising Occupations

– what is a good job.

CEW defines a good job as one that pays, nationally, a minimum of $43,000 to workers ages 25–44 and a minimum of $55,000 to workers ages 45–64, with a median of $82,000 for all good jobs.

– What is a Promising Occupation?

To help workers make decisions that maximize their likelihood of securing a good job, this report introduces the concept of promising occupations for workers on each educational pathway. To be considered promising, an occupational group must meet two criteria:

• More than half of jobs in the occupational group are projected to be good for workers on a given educational pathway in 2031.
• The occupational group will employ a higher share of workers on a specific educational pathway than will the overall economy in 2031 (more than 52 percent for workers on the bachelor’s degree pathway, 22 percent on the middle-skills pathway, and 26 percent on the high school pathway).

Good Jobs and Promising Occupations on Each Educational Pathway

• Bachelor's Degree Pathway
• Middle-Skills Pathway
• High School Pathway

Occupational Cluster

Managerial and professional office

Education, training, and library

Community services and the arts

Healthcare professional and technical

Healthcare support

Food and personal services

Sales and office support

Blue-collar

Both upskilling within occupations and growth of occupations that require comparatively high levels of education will increasingly shift opportunity to workers with bachelor’s degrees or higher. As a result, the bachelor’s degree pathway will offer the largest number of good jobs (58.2 million) and promising occupational groups (10) in 2031.

Federal investments in infrastructure, along with slower labor force growth, fewer college graduates, and expanding generative AI capabilities, have the potential to support a more robust middle-skills labor market than in previous decades. By 2031, middle-skills workers will have 16.4 million good jobs and five promising occupational groups available to them.

Ten of the 22 occupational groups will see net declines in good jobs on the high school pathway, even as many of these same occupations will see growth in the numbers of good jobs on the bachelor’s degree and middle-skills pathways. Consequently, by 2031, the high school pathway will only have 13.2 million good jobs available to workers and just one promising occupational group (installation, maintenance, and repair).

The Future of Good Jobs: Projections through 2031 forecasts that the bachelor’s degree pathway will be the dominant route to good jobs in the future despite continued skepticism about the value of a college degree.

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Home » Research Project – Definition, Writing Guide and Ideas

Research Project – Definition, Writing Guide and Ideas

Table of Contents

Research Project

Definition :

Research Project is a planned and systematic investigation into a specific area of interest or problem, with the goal of generating new knowledge, insights, or solutions. It typically involves identifying a research question or hypothesis, designing a study to test it, collecting and analyzing data, and drawing conclusions based on the findings.

Types of Research Project

Types of Research Projects are as follows:

Basic Research

This type of research focuses on advancing knowledge and understanding of a subject area or phenomenon, without any specific application or practical use in mind. The primary goal is to expand scientific or theoretical knowledge in a particular field.

Applied Research

Applied research is aimed at solving practical problems or addressing specific issues. This type of research seeks to develop solutions or improve existing products, services or processes.

Action Research

Action research is conducted by practitioners and aimed at solving specific problems or improving practices in a particular context. It involves collaboration between researchers and practitioners, and often involves iterative cycles of data collection and analysis, with the goal of improving practices.

Quantitative Research

This type of research uses numerical data to investigate relationships between variables or to test hypotheses. It typically involves large-scale data collection through surveys, experiments, or secondary data analysis.

Qualitative Research

Qualitative research focuses on understanding and interpreting phenomena from the perspective of the people involved. It involves collecting and analyzing data in the form of text, images, or other non-numerical forms.

Mixed Methods Research

Mixed methods research combines elements of both quantitative and qualitative research, using multiple data sources and methods to gain a more comprehensive understanding of a phenomenon.

Longitudinal Research

This type of research involves studying a group of individuals or phenomena over an extended period of time, often years or decades. It is useful for understanding changes and developments over time.

Case Study Research

Case study research involves in-depth investigation of a particular case or phenomenon, often within a specific context. It is useful for understanding complex phenomena in their real-life settings.

Participatory Research

Participatory research involves active involvement of the people or communities being studied in the research process. It emphasizes collaboration, empowerment, and the co-production of knowledge.

Research Project Methodology

Research Project Methodology refers to the process of conducting research in an organized and systematic manner to answer a specific research question or to test a hypothesis. A well-designed research project methodology ensures that the research is rigorous, valid, and reliable, and that the findings are meaningful and can be used to inform decision-making.

There are several steps involved in research project methodology, which are described below:

Define the Research Question

The first step in any research project is to clearly define the research question or problem. This involves identifying the purpose of the research, the scope of the research, and the key variables that will be studied.

Develop a Research Plan

Once the research question has been defined, the next step is to develop a research plan. This plan outlines the methodology that will be used to collect and analyze data, including the research design, sampling strategy, data collection methods, and data analysis techniques.

Collect Data

The data collection phase involves gathering information through various methods, such as surveys, interviews, observations, experiments, or secondary data analysis. The data collected should be relevant to the research question and should be of sufficient quantity and quality to enable meaningful analysis.

Analyze Data

Once the data has been collected, it is analyzed using appropriate statistical techniques or other methods. The analysis should be guided by the research question and should aim to identify patterns, trends, relationships, or other insights that can inform the research findings.

Interpret and Report Findings

The final step in the research project methodology is to interpret the findings and report them in a clear and concise manner. This involves summarizing the results, discussing their implications, and drawing conclusions that can be used to inform decision-making.

Research Project Writing Guide

Here are some guidelines to help you in writing a successful research project:

• Choose a topic: Choose a topic that you are interested in and that is relevant to your field of study. It is important to choose a topic that is specific and focused enough to allow for in-depth research and analysis.
• Conduct a literature review : Conduct a thorough review of the existing research on your topic. This will help you to identify gaps in the literature and to develop a research question or hypothesis.
• Develop a research question or hypothesis : Based on your literature review, develop a clear research question or hypothesis that you will investigate in your study.
• Design your study: Choose an appropriate research design and methodology to answer your research question or test your hypothesis. This may include choosing a sample, selecting measures or instruments, and determining data collection methods.
• Collect data: Collect data using your chosen methods and instruments. Be sure to follow ethical guidelines and obtain informed consent from participants if necessary.
• Analyze data: Analyze your data using appropriate statistical or qualitative methods. Be sure to clearly report your findings and provide interpretations based on your research question or hypothesis.
• Discuss your findings : Discuss your findings in the context of the existing literature and your research question or hypothesis. Identify any limitations or implications of your study and suggest directions for future research.
• Write your project: Write your research project in a clear and organized manner, following the appropriate format and style guidelines for your field of study. Be sure to include an introduction, literature review, methodology, results, discussion, and conclusion.
• Revise and edit: Revise and edit your project for clarity, coherence, and accuracy. Be sure to proofread for spelling, grammar, and formatting errors.
• Cite your sources: Cite your sources accurately and appropriately using the appropriate citation style for your field of study.

Examples of Research Projects

Some Examples of Research Projects are as follows:

• Investigating the effects of a new medication on patients with a particular disease or condition.
• Exploring the impact of exercise on mental health and well-being.
• Studying the effectiveness of a new teaching method in improving student learning outcomes.
• Examining the impact of social media on political participation and engagement.
• Investigating the efficacy of a new therapy for a specific mental health disorder.
• Exploring the use of renewable energy sources in reducing carbon emissions and mitigating climate change.
• Studying the effects of a new agricultural technique on crop yields and environmental sustainability.
• Investigating the effectiveness of a new technology in improving business productivity and efficiency.
• Examining the impact of a new public policy on social inequality and access to resources.
• Exploring the factors that influence consumer behavior in a specific market.

Characteristics of Research Project

Here are some of the characteristics that are often associated with research projects:

• Clear objective: A research project is designed to answer a specific question or solve a particular problem. The objective of the research should be clearly defined from the outset.
• Systematic approach: A research project is typically carried out using a structured and systematic approach that involves careful planning, data collection, analysis, and interpretation.
• Rigorous methodology: A research project should employ a rigorous methodology that is appropriate for the research question being investigated. This may involve the use of statistical analysis, surveys, experiments, or other methods.
• Data collection : A research project involves collecting data from a variety of sources, including primary sources (such as surveys or experiments) and secondary sources (such as published literature or databases).
• Analysis and interpretation : Once the data has been collected, it needs to be analyzed and interpreted. This involves using statistical techniques or other methods to identify patterns or relationships in the data.
• Conclusion and implications : A research project should lead to a clear conclusion that answers the research question. It should also identify the implications of the findings for future research or practice.
• Communication: The results of the research project should be communicated clearly and effectively, using appropriate language and visual aids, to a range of audiences, including peers, stakeholders, and the wider public.

Importance of Research Project

Research projects are an essential part of the process of generating new knowledge and advancing our understanding of various fields of study. Here are some of the key reasons why research projects are important:

• Advancing knowledge : Research projects are designed to generate new knowledge and insights into particular topics or questions. This knowledge can be used to inform policies, practices, and decision-making processes across a range of fields.
• Solving problems: Research projects can help to identify solutions to real-world problems by providing a better understanding of the causes and effects of particular issues.
• Developing new technologies: Research projects can lead to the development of new technologies or products that can improve people’s lives or address societal challenges.
• Improving health outcomes: Research projects can contribute to improving health outcomes by identifying new treatments, diagnostic tools, or preventive strategies.
• Enhancing education: Research projects can enhance education by providing new insights into teaching and learning methods, curriculum development, and student learning outcomes.
• Informing public policy : Research projects can inform public policy by providing evidence-based recommendations and guidance on issues related to health, education, environment, social justice, and other areas.
• Enhancing professional development : Research projects can enhance the professional development of researchers by providing opportunities to develop new skills, collaborate with colleagues, and share knowledge with others.

Research Project Ideas

Following are some Research Project Ideas:

Field: Psychology

• Investigating the impact of social support on coping strategies among individuals with chronic illnesses.
• Exploring the relationship between childhood trauma and adult attachment styles.
• Examining the effects of exercise on cognitive function and brain health in older adults.
• Investigating the impact of sleep deprivation on decision making and risk-taking behavior.
• Exploring the relationship between personality traits and leadership styles in the workplace.
• Examining the effectiveness of cognitive-behavioral therapy (CBT) for treating anxiety disorders.
• Investigating the relationship between social comparison and body dissatisfaction in young women.
• Exploring the impact of parenting styles on children’s emotional regulation and behavior.
• Investigating the effectiveness of mindfulness-based interventions for treating depression.
• Examining the relationship between childhood adversity and later-life health outcomes.

Field: Economics

• Analyzing the impact of trade agreements on economic growth in developing countries.
• Examining the effects of tax policy on income distribution and poverty reduction.
• Investigating the relationship between foreign aid and economic development in low-income countries.
• Exploring the impact of globalization on labor markets and job displacement.
• Analyzing the impact of minimum wage laws on employment and income levels.
• Investigating the effectiveness of monetary policy in managing inflation and unemployment.
• Examining the relationship between economic freedom and entrepreneurship.
• Analyzing the impact of income inequality on social mobility and economic opportunity.
• Investigating the role of education in economic development.
• Examining the effectiveness of different healthcare financing systems in promoting health equity.

Field: Sociology

• Investigating the impact of social media on political polarization and civic engagement.
• Examining the effects of neighborhood characteristics on health outcomes.
• Analyzing the impact of immigration policies on social integration and cultural diversity.
• Investigating the relationship between social support and mental health outcomes in older adults.
• Exploring the impact of income inequality on social cohesion and trust.
• Analyzing the effects of gender and race discrimination on career advancement and pay equity.
• Investigating the relationship between social networks and health behaviors.
• Examining the effectiveness of community-based interventions for reducing crime and violence.
• Analyzing the impact of social class on cultural consumption and taste.
• Investigating the relationship between religious affiliation and social attitudes.

Field: Computer Science

• Developing an algorithm for detecting fake news on social media.
• Investigating the effectiveness of different machine learning algorithms for image recognition.
• Developing a natural language processing tool for sentiment analysis of customer reviews.
• Analyzing the security implications of blockchain technology for online transactions.
• Investigating the effectiveness of different recommendation algorithms for personalized advertising.
• Developing an artificial intelligence chatbot for mental health counseling.
• Investigating the effectiveness of different algorithms for optimizing online advertising campaigns.
• Developing a machine learning model for predicting consumer behavior in online marketplaces.
• Analyzing the privacy implications of different data sharing policies for online platforms.
• Investigating the effectiveness of different algorithms for predicting stock market trends.

Field: Education

• Investigating the impact of teacher-student relationships on academic achievement.
• Analyzing the effectiveness of different pedagogical approaches for promoting student engagement and motivation.
• Examining the effects of school choice policies on academic achievement and social mobility.
• Investigating the impact of technology on learning outcomes and academic achievement.
• Analyzing the effects of school funding disparities on educational equity and achievement gaps.
• Investigating the relationship between school climate and student mental health outcomes.
• Examining the effectiveness of different teaching strategies for promoting critical thinking and problem-solving skills.
• Investigating the impact of social-emotional learning programs on student behavior and academic achievement.
• Analyzing the effects of standardized testing on student motivation and academic achievement.

Field: Environmental Science

• Investigating the impact of climate change on species distribution and biodiversity.
• Analyzing the effectiveness of different renewable energy technologies in reducing carbon emissions.
• Examining the impact of air pollution on human health outcomes.
• Investigating the relationship between urbanization and deforestation in developing countries.
• Analyzing the effects of ocean acidification on marine ecosystems and biodiversity.
• Investigating the impact of land use change on soil fertility and ecosystem services.
• Analyzing the effectiveness of different conservation policies and programs for protecting endangered species and habitats.
• Investigating the relationship between climate change and water resources in arid regions.
• Examining the impact of plastic pollution on marine ecosystems and biodiversity.
• Investigating the effects of different agricultural practices on soil health and nutrient cycling.

Field: Linguistics

• Analyzing the impact of language diversity on social integration and cultural identity.
• Investigating the relationship between language and cognition in bilingual individuals.
• Examining the effects of language contact and language change on linguistic diversity.
• Investigating the role of language in shaping cultural norms and values.
• Analyzing the effectiveness of different language teaching methodologies for second language acquisition.
• Investigating the relationship between language proficiency and academic achievement.
• Examining the impact of language policy on language use and language attitudes.
• Investigating the role of language in shaping gender and social identities.
• Analyzing the effects of dialect contact on language variation and change.
• Investigating the relationship between language and emotion expression.

Field: Political Science

• Analyzing the impact of electoral systems on women’s political representation.
• Investigating the relationship between political ideology and attitudes towards immigration.
• Examining the effects of political polarization on democratic institutions and political stability.
• Investigating the impact of social media on political participation and civic engagement.
• Analyzing the effects of authoritarianism on human rights and civil liberties.
• Investigating the relationship between public opinion and foreign policy decisions.
• Examining the impact of international organizations on global governance and cooperation.
• Investigating the effectiveness of different conflict resolution strategies in resolving ethnic and religious conflicts.
• Analyzing the effects of corruption on economic development and political stability.
• Investigating the role of international law in regulating global governance and human rights.

Field: Medicine

• Investigating the impact of lifestyle factors on chronic disease risk and prevention.
• Examining the effectiveness of different treatment approaches for mental health disorders.
• Investigating the relationship between genetics and disease susceptibility.
• Analyzing the effects of social determinants of health on health outcomes and health disparities.
• Investigating the impact of different healthcare delivery models on patient outcomes and cost effectiveness.
• Examining the effectiveness of different prevention and treatment strategies for infectious diseases.
• Investigating the relationship between healthcare provider communication skills and patient satisfaction and outcomes.
• Analyzing the effects of medical error and patient safety on healthcare quality and outcomes.
• Investigating the impact of different pharmaceutical pricing policies on access to essential medicines.
• Examining the effectiveness of different rehabilitation approaches for improving function and quality of life in individuals with disabilities.

Field: Anthropology

• Analyzing the impact of colonialism on indigenous cultures and identities.
• Investigating the relationship between cultural practices and health outcomes in different populations.
• Examining the effects of globalization on cultural diversity and cultural exchange.
• Investigating the role of language in cultural transmission and preservation.
• Analyzing the effects of cultural contact on cultural change and adaptation.
• Investigating the impact of different migration policies on immigrant integration and acculturation.
• Examining the role of gender and sexuality in cultural norms and values.
• Investigating the impact of cultural heritage preservation on tourism and economic development.
• Analyzing the effects of cultural revitalization movements on indigenous communities.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Starting steps for research project success

Research projects are an important part of a student’s academic career. They’re an integral part of the learning process, providing students with the opportunity to explore a particular topic in-depth, develop research skills, and make an original contribution to their field of study.

That said, they can also be a source of stress for many students, particularly if it’s their first time writing a research project. The best way to approach a project of this size is to break it down into smaller steps and ensure you’ve laid the groundwork before you even begin writing.

In this article, we’ll look at different elements of beginning a research project, including writing a proposal, starting steps, and how to use monday.com to organize all your research and tasks in one place.

What is a research project?

A research project is an organized effort to investigate a specific question or topic. It can involve either quantitative or qualitative research methods and can include surveys, interviews, or literature reviews.

The goal of a research project is to answer a question or hypothesis by exploring new ideas and testing theories.

In an academic setting, research projects are typically conducted by students, faculty members, postdoctoral fellows, or graduate students, and may involve collaborations with outside organizations.

How to write a research project proposal

Before beginning to write a research project, you need to first write a proposal. A research project proposal is a document used to outline the specific goals, methods, and resources required for a research project. It’s used to present the planned research to potential sponsors or other stakeholders in order to receive approval to proceed with the project.

There are several elements to include in a project proposal that will not only help guide your research but help show why your topic is relevant and worth pursuing.

• Title: Develop a clear and concise title for your research project proposal.
• Introduction: Give background, including the purpose and importance of the research.
• Objectives: List the specific objectives of your research project.
• Methodology: Describe the methods and techniques you will use.
• Resources: Describe the resources you will need to carry out your project.
• Timeline: Provide a timeline for completion and bring up any potential obstacles or risks.
• Expected outcomes: Identify the expected outcomes, including possible implications.
• Budget: Estimate the costs of completing the project and any necessary funding.
• References: Provide references that you’ll cite that help prove your topic is relevant.

Looking at examples of other research project proposals will be helpful to visualize what yours should look like. Here are examples of successful project proposals in the field of social policy and criminology as well as a Ph.D. project in politics .

A project proposal template from monday.com can help you build out your project proposal. This template will ensure that you aren’t missing any essential elements that can result in your research project getting rejected or needing to edit and resubmit a new proposal.

5 starting steps for writing a research project

While there are many different steps to the writing portion of a research project, the initial setup of your project will not only set you up for success but will make the writing go a lot more smoothly. Here are five steps you should take when you’re just starting your research project.

1. Find the right supervisor

A good supervisor will provide guidance on the design, methods, and structure of your research project, as well as advice on how to best analyze and interpret data. A good way to find the right supervisor is to speak with faculty members in a department, a trusted professor, or a colleague to discuss who might be the best fit. When you have a list of potential advisors, send them an email to introduce yourself and your project before asking to meet to discuss the next steps.

2. Choose your topic

After finding a supervisor, they may be able to help you narrow down your topic. The more specific your topic, the better you’ll be able to sharpen the direction of your research so that you can explore your topic in greater depth. It can also save time by allowing you to tighten the scope of your research and focus on the most relevant aspects of the topic.

3. Develop a thesis

A thesis serves as the main point or argument and provides direction and focus to a project, allowing you to collect and organize information more efficiently. A clear and concise thesis statement guides readers in understanding the project’s purpose and ensures that readers will be able to follow the main thread of your argument.

4. Create a timeline

When you begin your research, it’s important to create a timeline to set a framework for the project and ensure that it’s completed on time. It also keeps you organized on various tasks and ensures all steps are accounted for, from researching to writing and editing. Finally, a timeline can help you stay motivated and on track.

5. Write your outline

Outlines provide structure and clarity and allow you to organize your thoughts in a logical order. An outline serves as a roadmap for your research, allowing you to focus on the important points and not get sidetracked. It may also help identify gaps in your research, which can be addressed before beginning the writing process.

monday.com can help you organize your research project

Given all the different steps to take before you even begin writing, staying organized and on top of each task will ensure your project runs seamlessly. Project management tools such as monday.com can help you stay organized so that you don’t overlook an important step in your project. There are a few specific monday.com features that make it an excellent tool for anyone working on a research project.

Track your project with timelines

Create a timeline to see when different elements of your research project are due and see if you’re on time with your project proposal’s timeline.

Organize your tasks in one place

There are tons of small tasks in each research project, from planning a project, collecting and organizing data, communications, surveying, and more. With monday.com’s task management tools, you can make sure you’ve accounted for all tasks you need to complete so that you don’t miss a thing.

Use a template to make a visual plan

The student planner template allows you to visualize your project plan. Not only is this a good place to track tasks, but you can also add in information such as budgets, contact information, priorities, and even attach files for each access to your project’s information all in one place.

How do you start a research project?

When starting a research project, the first step is to create a research question or hypothesis that will be the focus of the project. Next, you’ll want to begin gathering information, finding a supervisor, forming your thesis, and outlining your project.

What are some examples of research projects?

Research projects vary widely depending on the field. For example, in biology, some research projects have focused on investigating the effects of a medication or therapy on a specific group of patients or looking at the role of genetics in disease.

How do I find a research project topic?

There are many different ways to find a topic. For starters, consider which topics interest you. From there, you can research online, speak with professors or advisors, and attend conferences and workshops to find ideas.

Make sure you have all you need to start writing

Writing a research project takes a lot of time, dedication, and focus. They can also be stressful, especially if it’s your first time writing one. Following the steps and guidelines here will make your research project more successful. Additionally, using a project management work tool like monday.com to organize your research project is one of the best ways to alleviate the stress of staying on top of your tasks and timeline so that you can better focus on the research itself.

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UTA Announces Westward Expansion

Monday, Aug 05, 2024 • Joe Carpenter : contact

The University of Texas at Arlington (UTA) continues to advance its commitment to academic excellence and research in the region with a proposed plan to purchase 51 acres of property in west Fort Worth within the Walsh Ranch development. Today, The University of Texas System Board of Regents approved this plan and authorized the use of the Permanent University Fund (PUF) to purchase the property, paving the way for UTA West , a new campus dedicated to fostering economic development and meeting the educational needs of one of the fastest-growing areas in the country.  

Advantageously positioned at the intersection of I-30 and I-20 at the western gateway of Fort Worth, the new campus is expected to begin welcoming students as early as fall 2028. UTA West will be developed as part of a multiyear plan to serve more than 10,000 students. 

“Anytime the UT System can expand greater educational opportunity, access, and affordability to Texans, we’re going to do it,” said Kevin Eltife, chairman of the UT System Board of Regents. “We’ve recently done it in east Texas and south Texas and now we’re heading west. We’re looking forward to planting a UT Arlington flag in west Fort Worth, currently the nation’s fastest growing city.”

“Years from now when we look back at major milestones in the life of the Fort Worth region and UT Arlington’s history, this new campus will rise to be among the top,” added J.B. Milliken, chancellor of the UT System. “As cities prepare for rapid growth, the presence of great universities contributes immensely to their vibrant transformation, and we applaud the very special relationship between UT Arlington and Fort Worth as they plan for the future in such an insightful and strategic way.”

“The western part of the metroplex has an ever-growing population, a plethora of student talent, and a wide breadth of opportunity for explosive economic advancement. UTA has long been a top supplier of talent to companies across Fort Worth, and this expansion will allow UTA to broaden its impact across our region,” said UTA President Jennifer Cowley.

“UTA West represents a transformative investment in our community’s future,” said Robert Allen, Fort Worth Economic Development Partnership president. “By aligning educational resources with the region’s economic needs, UTA is poised to play a pivotal role in shaping a skilled workforce capable of meeting the demands of 21st-century industries.”

UTA in Fort Worth

The new UTA campus expands the University’s decades-long partnership with Fort Worth.

In 1986, the UTA Research Institute (UTARI ) was established in east Fort Worth. Today, the facility conducts $16 million annually in research focused on advanced controls and sensors, airborne computing networks, automation and intelligent systems, bio-signal processing, biomedical technologies, and predictive performance.

In 2007, the UTA Fort Worth Center was established in downtown Fort Worth. The Center, focused on serving working professionals by connecting education with careers, offers high-quality academic programs that meet the needs of students and the 21 st -century workforce.

In 2023, the UTA Institute of Urban Studies, the principal research center for the College of Architecture, Planning, and Public Affairs, opened at UTA’s Fort Worth Center. The Institute’s mandated mission is to conduct research and provide technical assistance to city and county governments, governmental agencies, and nonprofit organizations and to offer education and teaching opportunities to individuals either already in or contemplating public service careers.

As UTA embarks on this ambitious new venture, the University remains committed to its mission of fostering innovation, discovery, and community engagement. The establishment of UTA West marks a significant milestone in its ongoing efforts to enrich the educational landscape and drive growth across North Texas.

About The University of Texas at Arlington (UTA)

Located in the heart of the Dallas-Fort Worth Metroplex, The University of Texas at Arlington is a comprehensive teaching, research, and public service institution dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of approximately 41,000 students, UT Arlington is the second-largest institution in the UT System. In 2021, UTA’s combination of outstanding academics and innovative research contributed to its reaffirmation as a Carnegie R-1 “Very High Research Activity” institution, a significant milestone of excellence. The University is designated as a Hispanic Serving-Institution and an Asian American Native American Pacific Islander-Serving Institution by the U.S. Department of Education and in 2022 earned the Seal of Excelencia for its commitment to accelerating Latino student success. The University ranks No. 2 nationally for veterans ( Military Times, 2024), No. 3 in Texas for advancing social mobility ( U.S. News & World Report,  2024), and No. 5 in the United States for its undergraduate ethnic diversity ( U.S. News & World Report,  2024). UT Arlington’s approximately 270,000 alumni occupy leadership positions at many of the 21 Fortune 500 companies headquartered in North Texas and contribute to the University’s $28.8 billion annual economic impact on Texas.

For more information, visit UTA West .

Contact: Joe Carpenter, UTA Chief Communications Officer, 817-272-3210, [email protected]

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How to Get Started With a Research Project

Last Updated: October 3, 2023 Fact Checked

This article was co-authored by Chris Hadley, PhD . Chris Hadley, PhD is part of the wikiHow team and works on content strategy and data and analytics. Chris Hadley earned his PhD in Cognitive Psychology from UCLA in 2006. Chris' academic research has been published in numerous scientific journals. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 313,485 times.

You'll be required to undertake and complete research projects throughout your academic career and even, in many cases, as a member of the workforce. Don't worry if you feel stuck or intimidated by the idea of a research project, with care and dedication, you can get the project done well before the deadline!

Development and Foundation

• Don't hesitate while writing down ideas. You'll end up with some mental noise on the paper – silly or nonsensical phrases that your brain just pushes out. That's fine. Think of it as sweeping the cobwebs out of your attic. After a minute or two, better ideas will begin to form (and you might have a nice little laugh at your own expense in the meantime).

• Some instructors will even provide samples of previously successful topics if you ask for them. Just be careful that you don't end up stuck with an idea you want to do, but are afraid to do because you know someone else did it before.

• For example, if your research topic is “urban poverty,” you could look at that topic across ethnic or sexual lines, but you could also look into corporate wages, minimum wage laws, the cost of medical benefits, the loss of unskilled jobs in the urban core, and on and on. You could also try comparing and contrasting urban poverty with suburban or rural poverty, and examine things that might be different about both areas, such as diet and exercise levels, or air pollution.

• Think in terms of questions you want answered. A good research project should collect information for the purpose of answering (or at least attempting to answer) a question. As you review and interconnect topics, you'll think of questions that don't seem to have clear answers yet. These questions are your research topics.

• Don't limit yourself to libraries and online databases. Think in terms of outside resources as well: primary sources, government agencies, even educational TV programs. If you want to know about differences in animal population between public land and an Indian reservation, call the reservation and see if you can speak to their department of fish and wildlife.
• If you're planning to go ahead with original research, that's great – but those techniques aren't covered in this article. Instead, speak with qualified advisors and work with them to set up a thorough, controlled, repeatable process for gathering information.

• If your plan comes down to “researching the topic,” and there aren't any more specific things you can say about it, write down the types of sources you plan to use instead: books (library or private?), magazines (which ones?), interviews, and so on. Your preliminary research should have given you a solid idea of where to begin.

Expanding Your Idea with Research

• It's generally considered more convincing to source one item from three different authors who all agree on it than it is to rely too heavily on one book. Go for quantity at least as much as quality. Be sure to check citations, endnotes, and bibliographies to get more potential sources (and see whether or not all your authors are just quoting the same, older author).
• Writing down your sources and any other relevant details (such as context) around your pieces of information right now will save you lots of trouble in the future.

• Use many different queries to get the database results you want. If one phrasing or a particular set of words doesn't yield useful results, try rephrasing it or using synonymous terms. Online academic databases tend to be dumber than the sum of their parts, so you'll have to use tangentially related terms and inventive language to get all the results you want.

• If it's sensible, consider heading out into the field and speaking to ordinary people for their opinions. This isn't always appropriate (or welcomed) in a research project, but in some cases, it can provide you with some excellent perspective for your research.
• Review cultural artifacts as well. In many areas of study, there's useful information on attitudes, hopes, and/or concerns of people in a particular time and place contained within the art, music, and writing they produced. One has only to look at the woodblock prints of the later German Expressionists, for example, to understand that they lived in a world they felt was often dark, grotesque, and hopeless. Song lyrics and poetry can likewise express strong popular attitudes.

Expert Q&A

• Start early. The foundation of a great research project is the research, which takes time and patience to gather even if you aren't performing any original research of your own. Set aside time for it whenever you can, at least until your initial gathering phase is complete. Past that point, the project should practically come together on its own. Thanks Helpful 1 Not Helpful 0
• When in doubt, write more, rather than less. It's easier to pare down and reorganize an overabundance of information than it is to puff up a flimsy core of facts and anecdotes. Thanks Helpful 1 Not Helpful 0

• Respect the wishes of others. Unless you're a research journalist, it's vital that you yield to the wishes and requests of others before engaging in original research, even if it's technically ethical. Many older American Indians, for instance, harbor a great deal of cultural resentment towards social scientists who visit reservations for research, even those invited by tribal governments for important reasons such as language revitalization. Always tread softly whenever you're out of your element, and only work with those who want to work with you. Thanks Helpful 8 Not Helpful 2
• Be mindful of ethical concerns. Especially if you plan to use original research, there are very stringent ethical guidelines that must be followed for any credible academic body to accept it. Speak to an advisor (such as a professor) about what you plan to do and what steps you should take to verify that it will be ethical. Thanks Helpful 6 Not Helpful 2

You Might Also Like

• ↑ http://www.butte.edu/departments/cas/tipsheets/research/research_paper.html
• ↑ https://www.nhcc.edu/academics/library/doing-library-research/basic-steps-research-process
• ↑ https://library.sacredheart.edu/c.php?g=29803&p=185905
• ↑ https://owl.purdue.edu/owl/general_writing/common_writing_assignments/research_papers/choosing_a_topic.html
• ↑ https://www.unr.edu/writing-speaking-center/student-resources/writing-speaking-resources/using-an-interview-in-a-research-paper
• ↑ https://www.science.org/content/article/how-review-paper

About This Article

The easiest way to get started with a research project is to use your notes and other materials to come up with topics that interest you. Research your favorite topic to see if it can be developed, and then refine it into a research question. Begin thoroughly researching, and collect notes and sources. To learn more about finding reliable and helpful sources while you're researching, continue reading! Did this summary help you? Yes No

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