how to find a phd subject

Navigating Your PhD Topic Choice

Embarking on an impactful research career, starting with your thesis.

We’ve compiled this guide to share the tools and frameworks we think will be most helpful to you if you’re searching for a meaningful thesis topic for your PhD.

About this guide

If you’re applying for a PhD, this guide can provide comprehensive assistance throughout your journey towards finding the best possible PhD for you. In the first part we focus on how you can decide whether to pursue a PhD, identify the values you want to guide your research and start generating research ideas. In the second half we will introduce a framework you can use to narrow your ideas down to a specific research question and ultimately create a PhD proposal. Finally, we will help you with finding the best possible supportive environment for your project and identifying the next steps of your PhD journey.

If you are not yet very familiar with core concepts like career capital and the ITN framework , we recommend reading the linked articles. We also recommend you read this article to understand why systematic approaches to career decisions are probably more useful than popular advice like “follow your passion”, and why helping others with your career will help you experience your job as more meaningful. 

How to use this guide

We recommend completing this guide over multiple sittings, e.g. working through one section per week. However, please adjust the pace to suit your circumstances. We think you will get the most out of this guide if you start from the beginning, but you might want to skip some sections if you’ve already thought deeply about the content.

After reading the articles linked in each step, take some time (5-10 minutes) to answer the prompts we list, or to complete the exercises we recommend. We find that writing your thoughts down on paper is a step that people often want to skip, but it can help tremendously in getting clarity for yourself. 

Is a PhD the right next step for you?

Lots of people “stumble” into PhDs. For example, they might see it as a default step in completing their education, or they might have been offered to continue with their previous supervisor. Before committing to a PhD programme, it is good to consider a broad range of alternatives in order to ensure that a PhD is the best path for you at this stage. Make sure you have done enough reflection and updated your plans based on your experiences thus far, instead of going down the “default” academic path.

We also recommend that you take some time to browse through these short descriptions of core concepts , particularly ‘Expected Value’, ‘Opportunity Cost’ and ‘Leverage’.  Perhaps note down a few takeaways that apply to your decision.

Reflection prompts

If you’re unsure whether a PhD is right for you, here are some prompts to consider.

• Where do you envision yourself a few years after completing a PhD? 
• How does a PhD align with your long-term goals and aspirations?
• Are you genuinely interested and intrinsically motivated by the subject area you intend to pursue with your PhD? 
• Have you carefully assessed whether obtaining a PhD is a necessary requirement for your desired career path? 
• Are there alternative routes or professional qualifications that may lead you to your desired destination more efficiently, e.g. in less time/ with a better salary?
• Have you talked to people who completed or are currently pursuing the kind of PhD you are considering?

Exercise: exploring career paths

One helpful activity to undertake could be to search for job opportunities that you find exciting. To start, do a job search (2-5 hours) and list the five most attractive options you can find. Now, check which job requirements you’re currently lacking. Do you need a PhD to get the role? Would you get there faster or be better prepared by taking a different route?

Here are some more articles if you are interested in the question ‘Who should do a PhD?’:

• Survival Guide to a PhD – Andrej Karpathy
• Why I’m doing a PhD – Jess Whittlestone
• Pro and Cons of Applying for a PhD – Robert Wiblin

Reflect on your values and moral beliefs

Understanding your values and moral beliefs is an ongoing endeavour and you don’t need to have it figured out before choosing your topic. However, we do encourage reflection on this, as doing so might significantly shift your motivation to work on some problems over others. If that happens, the earlier you make this shift the better. What do we mean when we say doing good ? Most people agree that they want to “do good” with their lives. However, it is worth reflecting on what this actually means to you. We recommend reading the article linked above to learn more about some concepts we think are particularly relevant when reflecting on this question, such as impartiality, the moral circle, and uncertainty. This will help you to get a better understanding of what sort of thesis topics would align with your values and what kind of problems you want to contribute to solving with your research.

• How much do you value animal lives vs human lives ?
• How important do you think is it to reduce existential risks for humanity?
• How much do you value future generations ? How do you feel about improving existing lives vs lives that exist in the future?

This flowchart from the Global Priorities Project can help you navigate through this cause prioritisation process.

Here are two further resources that could help you with this reflection:

How to compare global problems for yourself – 80,000 Hours

World’s Biggest Problems Quiz | ClearerThinking.org

Getting inspired

Now it’s time to get inspired! You can read more about how research can change the world , and how academic research can be highly impactful . Finally, have a look at our thesis topic profiles for inspiration or, if you have no time constraints, sign up to our Topic Discovery Digest to receive biweekly inspirational emails. These emails cover a range of particularly impactful research areas, along with example research questions that are recommended by our experts and relevant to many different disciplines of study. We recommend you read the 3-5 profiles that interest you the most in depth.

• Which of the topic profiles that sparked your interest are new to you? How could you quickly get a better understanding of what it is like to work on these topics?
• How would disregarding your current skill set change your top choices? Would you consider taking some time out to “upskill” to switch to a new area of research, if possible?
• What are the uncertainties that, if you could find an answer to them, would help you decide between your top choices?

See here if you want to learn more about how we go about writing our thesis topic profiles and why we prioritise these topics.

Side note: Because we try to feature problems that are particularly important, tractable, and neglected, you might see some problems listed on our site that it’s uncommon to see described as global problems, while others are not featured. As an example, in our “human health and wellbeing” category, we list anti-aging research but not cancer research. We think research on widely recognised problems such as cancer is highly important. However, because so many more researchers are already working on these problems, we think that – all else equal – you will probably have a bigger impact working on problems that are relatively neglected.

Generating ideas

After reading a few of our topic profiles , we recommend that you start a brainstorming document as an ongoing way of collecting research questions you’re interested in. This will help you keep track of and develop your ideas during your idea generation phase, and make it easier for others to give you feedback later on. 

In addition to exploring our topic profiles, you could also identify questions through a literature review and reach out to your supervisor or other researchers in the field(s) you’re interested in and ask what they think some of the most important and neglected open questions are. Moreover, you could contact some of the organisations listed on our topic profiles and ask if there are research projects you could undertake that would be decision-relevant for them. Reaching out to others at this stage can also help to discard unfeasible ideas early on, before you invest too much time in them.

Some tools that might be useful during the idea generation phase:

• Connected papers – explore connections between research papers in a visual graph.
• Elicit – an AI research assistant to help you automate research workflows, like parts of literature review.
• Find more resources and tools for research here .

We recommend collecting at least 20 research questions, grouped into overarching topics or research fields, and then adding some context, e.g. relevant papers and researchers, why you think this question is worth addressing, what relevant expertise you already have, and how qualified you are to work on this compared to other options. 

NB : We think that many people feel too limited by their past work, so we think you should probably lean towards considering questions and topics that are slightly outside your comfort zone.

Exercise: create a brainstorming document

Use this template to create a brainstorming document.

Comparing options

Once you feel you have collected enough research questions in your brainstorming document, you can start comparing how these research questions score on the factors that are most important to you. We recommend you take 15-20 minutes to think about which factors are key to your decision of pursuing a PhD and write them down. Here are some factors (adapted from this post ) that you could consider:

• Importance – How large in scale and/or severity is the problem your question would address? 
• Tractability – How realistic is it that you would make progress? Is your research question concrete and manageable, and do you have a clear strategy to tackle it?
• Neglectedness – Will others work on this question if you don’t?
• Actionability – Would your research have a clear audience and could it inform positive actions? Will this project generate genuinely new and useful findings/data? Will it help to translate/ communicate important ideas that need more attention/ awareness?
• Learning value – Will you learn useful things from working on the project? Will it help you build valuable research skills, build your model of how something important works, and/ or help you refine a vaguely defined concept into a crisp, important question?
• Exploration value – Will this project help you decide what to do next? 
• Personal fit & situational fit – Does your personal background make you a good fit for working on this question? Do you currently have or can you find support for working on it, e.g. excellent mentorship? 
• Credentials and career capital – Will the output demonstrate your research competence? For example, if you could get a reference from a particularly prestigious researcher by working on one of the projects you’re interested in, this might be an important consideration. Will the project reflect well on you, and is it shareable with others (or could it be developed into something shareable/ a publication)? Will the project allow you to build relationships with people whom it will be helpful to know going forward? 
• Intrinsic motivation   – Are you excited about working on this project?
• Method efficacy – How well can a particular approach help solve the problem that you are trying to address?

Exercise: sketch theories of change for your research questions

Once you’ve considered which of these factors matter to you, take a few minutes to sketch a theory of change for each research question you’re considering. 

A theory of change is a step by step plan of how you hope to achieve a positive impact with your research, starting with the context you’d be working in, the research outputs you would plan to produce, and the short- and long-term impacts you would hope to achieve with your research. Sketching some theories of change will help you outline how your research ideas could have a positive impact, giving you something to get feedback on in the next step below.

Consider whether your research could have negative outcomes too

When you’re considering the value of working on a particular research problem, it may also be important to remember that research isn’t a monolithic force for good. Research has done a lot of good, but there are many examples of it doing a lot of harm as well. There is a long history of research being biased by the discriminatory beliefs and blindspots of its time, as well as being used to justify cruelty and oppression . Research has made warfare more deadly and has facilitated the development of intensive factory farming . Dual-use biotechnology research is intended to help humanity, but could, for example, cause a catastrophic pandemic in the event of a lab accident or if the technology was misused. While some researchers are trying to increase the chance that future artificial intelligence is safe for humanity , many more researchers are focused on making AI more powerful. 

While it isn’t realistic for researchers to foresee every way their research could be (mis)used, many researchers are trying to create frameworks for thinking about how research can do harm and how to avoid this. For example, if you’re interested in working on biosecurity or AI safety, you could explore concepts such as differential progress and information hazards . If you’re working on global health questions, it may be important to educate yourself about the concept of parachute science .

Reach out to others for feedback

At this point, we think it could be helpful to identify some experts who might be interested in talking about your collection of potential research questions, and reach out to them for feedback. Getting feedback might then help you to prioritise between questions, develop your methodology further or discard projects before investing too much effort in them. You could seek feedback via two strategies – firstly, by sending your brainstorming document to people asking for general comments, and secondly, by seeking out people who have specialist knowledge on specific questions you’re considering and asking for their feedback on those ideas.

Here are some ways of connecting with other researchers:

• Reach out to your existing connections
• Attend research conferences related to your field of interest and speak to relevant people there, e.g. 1-1s at EAGs could be a great place to reach out to people for feedback on research ideas on directions that we recommend
• Are there any local student and/ or reading groups in your area that focus on a research area that you are planning to work on? 
• Public Slack channels on your research area, e.g. List of EA Slack workspaces

When preparing to reach out to experts, keep these key points in mind:

• Give the expert relevant information about yourself (e.g. What is your background? What is the scope of the project you’re planning to work on?).
• Prepare a short agenda if they’ve agreed to call you and share it with them beforehand (although they might not have time to read it, many people appreciate having the option to consider topics of discussion in advance).
• Think about what your key uncertainties actually are and what kind of feedback you want from the expert. Would you like their overall reaction? Detailed comments? Feedback on the strengths and weaknesses of your research ideas? Specific suggestions to improve your ideas? Feedback on how you plan to use the outputs of your research project? 
• Consider having a brainstorming document ready to share with them.
• You might want to have a look at this and this for more information about how to prepare.

Exercise: creating a weighted-factor model

Choosing which factors you want to base your thesis decision on will help you to reflect on what is important to you. Once you’ve done the exercise above and gathered some feedback from other people about your ideas, think about how much weight you want to give each factor. Lastly, try to evaluate how the research questions you’re considering score on each factor. The outcome of this ranking can serve as guidance for deciding on a question and can help clarify your intuitions about which questions would be the best fit for your dissertation. Here is an example of a ranking of potential thesis questions using a weighted-factor model (WFM).

Refining your research question

Once you have settled on a research question, it is time to develop a well-scoped and viable research proposal. The purpose of the proposal is to identify a relevant research topic, explain the context of the research, define concrete goals, and propose a realistic work plan to achieve them. If you’ve already built a Theory of Change for your research question, we recommend adding detail at this stage to help you create a proposal. We also think it’s important to reach out to your supervisor or other relevant people in the field of your research interests to ask for feedback, as this will help you develop an appropriate methodology. 

Here are a few more tips that could help you with narrowing the scope of your research project or refining your research question:

• First, make sure you have a detailed model of the problem you are planning to address in your research. Who are the different actors involved? How can research help fill gaps in our current knowledge? What are the particularly neglected approaches and interventions for this problem?
• You will only be able to make a valuable research contribution if your project is focused. Break down goals into discrete tasks and summarise what you are actually going to do. We suggest you create a detailed plan for the first few months of your project, a less detailed but fully coherent plan for the first year, describe a direction you might take in the second year, and generate some ideas for the following years. This will help you understand how much work is involved in every step and evaluate what is feasible in the available time frame.
• Consider practical questions. What kind of facilities do you have? Do you meet the university requirements?
• Try to develop the smallest possible question that can be answered and that data can be collected on, then have conditional upgrades/sub-questions based on that. This can be ambitious, but each stage should be developed enough to not be overwhelming or too vague.
• Start with a research question that’s as simple as possible and that you’re confident will be successful. From there, you can slowly and incrementally work towards pursuing more complex research questions. 

Find the best possible supportive environment

There are many different types of PhD programmes available – from 3-year PhDs to which you apply with a very specific project idea, to 6-year PhD programmes in which the first years are dedicated to coursework. It is important to find the best environment for your studies, with crucial considerations including the university and its community, the supportiveness of the supervisor/lab and the availability of funding. This section has advice on these three points and aims to facilitate you reflecting on them.

How much does the reputation of the university where you study your PhD matter for an academic career?

This is a commonly asked question among students, and we have compiled a set of key insights based on conversations with 30 of our experts. 

• The general advice is that you should pick the most prestigious university or research hub that you can get into.
• The importance of your university’s reputation varies across regions, with the US and the UK placing more significance on it compared to Europe or Australia. For the US especially, you will likely get a much better education and teaching quality, as well as access to resources, from a more prestigious university.
• It is worth noting that high-quality research labs (and supervisors) can be found outside of big-name universities, as specific research hubs may exist elsewhere. 
• It is important to note that even researchers in the most prestigious universities can be poor supervisors. 
• Ideally, you’ll find a great supervisor at a highly reputable institution. However, if you have to decide, finding an excellent supervisor seems to be the superior consideration – see below. 
• The significance of the university’s reputation increases if your career aspirations involve influencing government, e.g. in policy roles.
• Outstanding research, impactful contributions to the field, and a strong professional network could potentially outweigh the importance of a university’s reputation. 

Find a standout advisor

We think it is very important to find someone who genuinely cares about your research question and who will make a lot of time to supervise you well. Further, your supervisor will influence how effective you are in your work and how much you enjoy the research, as they will be the primary person guiding you throughout your whole research process. Especially at the PhD level, your advisor’s network matters tremendously for how well- connected you are and what sorts of opportunities will be open to you. So, here are some green flags to look out for in a supervisor:

• They care about your research question (pitch your ideas to the supervisor and see how enthusiastic they are about the potential project).
• They have the skills to supervise your project (check if they have experience in the methodologies you want to use).
• They truly care about mentoring you well (ask questions about their mentoring style, get a feel for how you match as a person).
• Their previous and current students are satisfied with them as a supervisor (ideally the person has a good track record of supervising other students – arrange a meeting with at least one current or past student). 
• They are successful (e.g. based on their citation count and general prestige).

Sign up for access to our database of potential supervisors who work on the research directions we recommend. Here are more tips on finding the right person to supervise you. 

Financing your studies

Even if you get accepted to a programme, it does not automatically mean that you get funding as well. Here are some tips if you need to apply for funding independently:

Consider a wide range of funding sources, e.g. national scholarships, university scholarships, grants and foundations dedicated to specific causes, and excellence scholarships (e.g. Gates or Rhodes Scholarships). Here is our funding database which includes funding opportunities relevant to the research directions we recommend.

• Consider the university environment – Would you be happy to live in the city of the programme you are applying to for 3-6 years? Do some university environments offer a more stimulating environment than others? Are there other researchers with similar values or motivations to you in this research hub?
• Do you have any hard criteria for choosing the location for your PhD? For example, would you consider moving abroad for an exciting opportunity? 
• What do you already know about the application process? What uncertainties do you have and how can you go about resolving them?

We recommend that you make a list of the programmes that best fit your research interests and other factors that are important to you. Then, check the requirements and deadlines for each of them and write down the next steps you need to take to apply. We also recommend reaching out to people who have gone through the PhD programme(s) you are applying to to hear about their experiences.

Set out your next steps

Take a few minutes now to write down your next steps for applying to the programs you’re interested in.

It could be helpful to sign up for some accountability buddy schemes, ask friends to check on your progress, or to set yourself a hard deadline on some important next steps that you want to take. You could schedule some time in your calendar right now, or make a note in your to-do list about a task that you want to complete soon.

Reflection prompts:

• What information do you need to get right now?
• What are you uncertain about? 
• What is keeping you from advancing with your project and how could you concretely resolve this?

Examples for concrete next steps could be:

• Reach out to people for feedback on your brainstorming document
• Reach out to potential supervisors
• Apply to an EAG or other academic conference and make a list of people you want to speak to 
• Reach out to people who have gone through the program you are applying to
• Reach out to current PhD students about proposal examples

Here are some further resources that could be helpful for you:

• Tips on impactful research
• Resources and tools for research
• Looking after your mental health
• Our Effective Thesis Community
• Research internships and other opportunities

For more general career advice, there are some other organisations that could help you with 1:1 advising. We recommend the following:

• 80,000 hours offers one-time 1:1 advising calls about using your career to help solve one of the world’s most pressing problems. They can help you choose your focus, make connections, and find a fulfilling job to tackle important problems.
• Magnify Mentoring pairs mentees who are interested in pursuing high-impact careers with more experienced mentors for a series of one-on-one meetings.
• Probably Good is running 1:1 advising calls to brainstorm career paths, evaluate options, plan next steps, and to connect you with relevant people and opportunities. 
• Lastly, please leave us some feedback . Thank you! 

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How To Find A High-Quality Research Topic

6 steps to find & evaluate high-quality dissertation/thesis topics.

By: Caroline Osella (PhD, BA)  and Derek Jansen (MBA) | July 2019

So, you’re finally nearing the end of your degree and it’s now time to find a suitable topic for your dissertation or thesis. Or perhaps you’re just starting out on your PhD research proposal and need to find a suitable area of research for your application proposal.

In this post, we’ll provide a straightforward 6-step process that you can follow to ensure you arrive at a high-quality research topic . Follow these steps and you will formulate a well-suited, well-defined core research question .

There’s a helpful clue already: your research ‘topic’ is best understood as a research question or a problem . Your aim is not to create an encyclopedia entry into your field, but rather to shed light on an acknowledged issue that’s being debated (or needs to be). Think research  questions , not research  topics  (we’ll come back to this later).

Overview: How To Find A Research Topic

• Get an understanding of the research process
• Review previous dissertations from your university
• Review the academic literature to start the ideation process
• Identify your potential research questions (topics) and shortlist
• Narrow down, then evaluate your research topic shortlist
• Make the decision (and stick with it!)

Step 1: Understand the research process

It may sound horribly obvious, but it’s an extremely common mistake – students skip past the fundamentals straight to the ideation phase (and then pay dearly for it).

Start by looking at whatever handouts and instructions you’ve been given regarding what your university/department expects of a dissertation. For example, the course handbook, online information and verbal in-class instructions. I know it’s tempting to just dive into the ideation process, but it’s essential to start with the prescribed material first.

There are two important reasons for this:

First , you need to have a basic understanding of the research process , research methodologies , fieldwork options and analysis methods before you start the ideation process, or you will simply not be equipped to think about your own research adequately. If you don’t understand the basics of  quantitative , qualitative and mixed methods BEFORE you start ideating, you’re wasting your time.

Second , your university/department will have specific requirements for your research – for example, requirements in terms of topic originality, word count, data requirements, ethical adherence , methodology, etc. If you are not aware of these from the outset, you will again end up wasting a lot of time on irrelevant ideas/topics.

So, the most important first step is to get your head around both the basics of research (especially methodologies), as well as your institution’s specific requirements . Don’t give in to the temptation to jump ahead before you do this. As a starting point, be sure to check out our free dissertation course.

Step 2: Review past dissertations/theses

Unless you’re undertaking a completely new course, there will be many, many students who have gone through the research process before and have produced successful dissertations, which you can use to orient yourself. This is hugely beneficial – imagine being able to see previous students’ assignments and essays when you were doing your coursework!

Take a look at some well-graded (65% and above) past dissertations from your course (ideally more recent ones, as university requirements may change over time). These are usually available in the university’s online library. Past dissertations will act as a helpful model for all kinds of things, from how long a bibliography needs to be, to what a good literature review looks like, through to what kinds of methods you can use – and how to leverage them to support your argument.

As you peruse past dissertations, ask yourself the following questions:

• What kinds of topics did these dissertations cover and how did they turn the topic into questions?
• How broad or narrow were the topics?
• How original were the topics? Were they truly groundbreaking or just a localised twist on well-established theory?
• How well justified were the topics? Did they seem important or just nice to know?
• How much literature did they draw on as a theoretical base? Was the literature more academic or applied in nature?
• What kinds of research methods did they use and what data did they draw on?
• How did they analyse that data and bring it into the discussion of the academic literature?
• Which of the dissertations are most readable to you – why? How were they presented?
• Can you see why these dissertations were successful? Can you relate what they’ve done back to the university’s instructions/brief?

Seeing a variety of dissertations (at least 5, ideally in your area of interest) will also help you understand whether your university has very rigid expectations in terms of structure and format , or whether they expect and allow variety in the number of chapters, chapter headings, order of content, style of presentation and so on.

Some departments accept graphic novels; some are willing to grade free-flow continental-philosophy style arguments; some want a highly rigid, standardised structure.  Many offer a dissertation template , with information on how marks are split between sections. Check right away whether you have been given one of those templates – and if you do, then use it and don’t try to deviate or reinvent the wheel.

Step 3: Review the academic literature

Now that you (1) understand the research process, (2) understand your university’s specific requirements for your dissertation or thesis, and (3) have a feel for what a good dissertation looks like, you can start the ideation process. This is done by reviewing the current literature and looking for opportunities to add something original to the academic conversation.

Kick start the ideation process

So, where should you start your literature hunt? The best starting point is to get back to your modules. Look at your coursework and the assignments you did. Using your coursework is the best theoretical base, as you are assured that (1) the literature is of a high enough calibre for your university and (2) the topics are relevant to your specific course.

Start by identifying the modules that interested you the most and that you understood well (i.e. earned good marks for). What were your strongest assignments, essays or reports? Which areas within these were particularly interesting to you? For example, within a marketing module, you may have found consumer decision making or organisation trust to be interesting. Create a shortlist of those areas that you were both interested in and academically strong at. It’s no use picking an area that does not genuinely interest you – you’ll run out of motivation if you’re not excited by a topic.

Understand the current state of knowledge

Once you’ve done that, you need to get an understanding of the current state of the literature for your chosen interest areas. What you’re aiming to understand is this: what is the academic conversation here and what critical questions are yet unanswered? These unanswered questions are prime opportunities for a unique, meaningful research topic . A quick review of the literature on your favourite topics will help you understand this.

Grab your reading list from the relevant section of the modules, or simply enter the topics into Google Scholar . Skim-read 3-5 journal articles from the past 5 years which have at least 5 citations each (Google Scholar or a citations index will show you how many citations any given article has – i.e., how many other people have referred to it in their own bibliography). Also, check to see if your discipline has an ‘annual review’ type of journal, which gathers together surveys of the state of knowledge on a chosen topic. This can be a great tool for fast-tracking your understanding of the current state of the knowledge in any given area.

Start from your course’s reading list and work outwards. At the end of every journal article, you’ll find a reference list. Scan this reference list for more relevant articles and read those. Then repeat the process (known as snowballing) until you’ve built up a base of 20-30 quality articles per area of interest.

Absorb, don’t hunt

At this stage, your objective is to read and understand the current state of the theory for your area(s) of interest – you don’t need to be in topic-hunting mode yet. Don’t jump the gun and try to identify research topics before you are well familiarised with the literature.

As you read, try to understand what kinds of questions people are asking and how they are trying to answer them. What matters do the researchers agree on, and more importantly, what are they in disagreement about? Disagreements are prime research territory. Can you identify different ‘schools of thought’ or different ‘approaches’? Do you know what your own approach or slant is? What kinds of articles appeal to you and which ones bore you or leave you feeling like you’ve not really grasped them? Which ones interest you and point towards directions you’d like to research and know more about?

Once you understand the fundamental fact that academic knowledge is a conversation, things get easier.

Think of it like a party. There are groups of people in the room, enjoying conversations about various things. Which group do you want to join?  You don’t want to be that person in the corner, talking to themself. And you don’t want to be the hanger-on, laughing at the big-shot’s jokes and repeating everything they say.

Do you want to join a large group and try to make a small contribution to what’s going on, or are you drawn to a smaller group that’s having a more niche conversation, but where you feel you might more easily find something original to contribute? How many conversations can you identify? Which ones feel closer to you and more attractive? Which ones repel you or leave you cold? Are there some that, frankly, you just don’t understand?

Now, choose a couple of groups who are discussing something you feel interested in and where you feel like you might want to contribute. You want to make your entry into this group by asking a question – a question that will make the other people in the group turn around and look at you, listen to you, and think, “That’s interesting”.

Your dissertation will be the process of setting that question and then trying to find at least a partial answer to that question – but don’t worry about that now.  Right now, you need to work out what conversations are going on, whether any of them are related or overlapping, and which ones you might be able to walk into. I’ll explain how you find that question in the next step.

Need a helping hand?

Step 4: Identify potential research questions

Now that you have a decent understanding of the state of the literature in your area(s) of interest, it’s time to start developing your list of possible research topics. There are (at least) three approaches you can follow here, and they are not mutually exclusive:

Approach 1: Leverage the FRIN

Towards the end of most quality journal articles, you will find a section labelled “ further research ” or something similar. Generally, researchers will clearly outline where they feel further research is needed (FRIN), following on from their own research. So, essentially, every journal article presents you with a list of potential research opportunities.

Of course, only a handful of these will be both practical and of interest to you, so it’s not a quick-fix solution to finding a research topic. However, the benefit of going this route is that you will be able to find a genuinely original and meaningful research topic (which is particularly important for PhD-level research).

The upside to this approach is originality, but the downside is that you might not find something that really interests you , or that you have the means to execute. If you do go this route, make sure that you pay attention to the journal article dates, as the FRIN may already have been “solved” by other researchers if the article is old.

Approach 2: Put a context-based spin on an existing topic

The second option is to consider whether a theory which is already well established is relevant within a local or industry-specific context. For example, a theory about the antecedents (drivers) of trust is very well established, but there may be unique or uniquely important drivers within a specific national context or industry (for example, within the financial services industry in an emerging market).

If that industry or national context has not yet been covered by researchers and there is a good reason to believe there may be meaningful differences within that context, then you have an opportunity to take a unique angle on well-established theory, which can make for a great piece of research. It is however imperative that you have a good reason to believe that the existing theory may not be wholly relevant within your chosen context, or your research will not be justified.

The upside to this approach is that you can potentially find a topic that is “closer to home” and more relevant and interesting to you , while still being able to draw on a well-established body of theory. However, the downside is that this approach will likely not produce the level of originality as approach #1.

Approach 3: Uncensored brainstorming

The third option is to skip the FRIN, as well as the local/industry-specific angle and simply engage in a freeform brainstorming or mind-mapping session, using your newfound knowledge of the theory to formulate potential research ideas. What’s important here is that you do not censor yourself . However crazy, unfeasible, or plain stupid your topic appears – write it down. All that matters right now is that you are interested in this thing.

Next, try to turn the topic(s) into a question or problem. For example:

• What is the relationship between X, Y & Z?
• What are the drivers/antecedents of X?
• What are the outcomes of Y?
• What are the key success factors for Z?

Re-word your list of topics or issues into a list of questions .  You might find at this stage that one research topic throws up three questions (which then become sub-topics and even new separate topics in their own right) and in so doing, the list grows. Let it. Don’t hold back or try to start evaluating your ideas yet – just let them flow onto paper.

Once you’ve got a few topics and questions on paper, check the literature again to see whether any of these have been covered by the existing research. Since you came up with these from scratch, there is a possibility that your original literature search did not cover them, so it’s important to revisit that phase to ensure that you’re familiar with the relevant literature for each idea. You may also then find that approach #1 and #2 can be used to build on these ideas.

Try use all three approaches

As mentioned earlier, the three approaches discussed here are not mutually exclusive. In fact, the more, the merrier. Hopefully, you manage to utilise all three, as this will give you the best odds of producing a rich list of ideas, which you can then narrow down and evaluate, which is the next step.

Step 5: Narrow down, then evaluate

By this stage, you should have a healthy list of research topics. Step away from the ideation and thinking for a few days, clear your mind. The key is to get some distance from your ideas, so that you can sit down with your list and review it with a more objective view. The unbridled ideation phase is over and now it’s time to take a reality check .

Look at your list and see if any options can be crossed off right away .  Maybe you don’t want to do that topic anymore. Maybe the topic turned out to be too broad and threw up 20 hard to answer questions. Maybe all the literature you found about it was 30 years old and you suspect it might not be a very engaging contemporary issue . Maybe this topic is so over-researched that you’ll struggle to find anything fresh to say. Also, after stepping back, it’s quite common to notice that 2 or 3 of your topics are really the same one, the same question, which you’ve written down in slightly different ways. You can try to amalgamate these into one succinct topic.

Narrow down to the top 5, then evaluate

Now, take your streamlined list and narrow it down to the ‘top 5’ that interest you the most. Personal interest is your key evaluation criterion at this stage. Got your ‘top 5’?  Great!  Now, with a cool head and your best analytical mind engaged, go systematically through each option and evaluate them against the following criteria:

Research questions – what is the main research question, and what are the supporting sub-questions? It’s critically important that you can define these questions clearly and concisely. If you cannot do this, it means you haven’t thought the topic through sufficiently.

Originality – is the topic sufficiently original, as per your university’s originality requirements? Are you able to add something unique to the existing conversation? As mentioned earlier, originality can come in many forms, and it doesn’t mean that you need to find a completely new, cutting-edge topic. However, your university’s requirements should guide your decision-making here.

Importance – is the topic of real significance, or is it just a “nice to know”? If it’s significant, why? Who will benefit from finding the answer to your desired questions and how will they benefit? Justifying your research will be a key requirement for your research proposal , so it’s really important to develop a convincing argument here.

Literature – is there a contemporary (current) body of academic literature around this issue? Is there enough literature for you to base your investigation on, but not too much that the topic is “overdone”? Will you be able to navigate this literature or is it overwhelming?

Data requirements – What kind of data would you need access to in order to answer your key questions?  Would you need to adopt a qualitative, quantitative or mixed-methods approach to answer your questions? At this stage, you don’t need to be able to map out your exact research design, but you should be able to articulate how you would approach it in high-level terms. Will you use qual, quant or mixed methods? Why?

Feasibility – How feasible would it be to gather the data that would be needed in the time-frame that you have – and do you have the will power and the skills to do it? If you’re not confident with the theory, you don’t want something that’s going to draw you into a debate about the relative importance of epistemology and ontology. If you are shy, you won’t want to be doing ethnographic interviews. If you feel this question calls for a 100-person survey, do you have the time to plan, organise and conduct it and then analyse it? What will you do if you don’t get the response rate you expect? Be very realistic here and also ask advice from your supervisor and other experts – poor response rates are extremely common and can derail even the best research projects.

Personal attraction – On a scale of 1-10, how excited are you about this topic? Will addressing it add value to your life and/or career? Will undertaking the project help you build a skill you’ve previously wanted to work on (for example, interview skills, statistical analysis skills, software skills, etc.)?

The last point is particularly important. You will have to engage with your dissertation in a very sustained and deep way, face challenges and difficulties, and get it to completion. If you don’t start out enthusiastic about it, you’re setting yourself up for problems like ‘writer’s block’ or ‘burnout’ down the line. This is the reason personal interest was the sole evaluation criterion when we chose the top 5. So, don’t underestimate the importance of personal attraction to a topic – at the same time, don’t let personal attraction lead you to choose a topic that is not relevant to your course or feasible given your resources. 

Narrow down to 3, then get human feedback

We’re almost at the finishing line. The next step is to narrow down to 2 or 3 shortlisted topics. No more!  Write a short paragraph about each topic, addressing the following:

Firstly,  WHAT will this study be about? Frame the topic as a question or a problem. Write it as a dissertation title. No more than two clauses and no more than 15 words. Less than 15 is better (go back to good journal articles for inspiration on appropriate title styles).

Secondly, WHY this is interesting (original) and important – as proven by existing academic literature? Are people talking about this and is there an acknowledged problem, debate or gap in the literature?

Lastly,  HOW do you plan to answer the question? What sub-questions will you use? What methods does this call for and how competent and confident are you in those methods? Do you have the time to gather the data this calls for?

Show the shortlist and accompanying paragraphs to a couple of your peers from your course and also to an expert or two if at all possible (you’re welcome to reach out to us ), explaining what you will investigate, why this is original and important and how you will go about investigating it. 

Once you’ve pitched your ideas, ask for the following thoughts :

• Which is most interesting and appealing to them?
• Why do they feel this way?
• What problems do they foresee with the execution of the research?

Take advice and feedback and sit on it for another day. Let it simmer in your mind overnight before you make the final decision.  

Step 6: Make the decision (and stick with it!)

Then, make the commitment. Choose the one that you feel most confident about, having now considered both your opinion and the feedback from others.

Once you’ve made a decision, don’t doubt your judgement, don’t shift.  Don’t be tempted by the ones you left behind. You’ve planned and thought things through, checked feasibility and now you can start.  You have your research topic. Trust your own decision-making process and stick with it now. It’s time to get started on your research proposal!

Let’s recap…

In this post, I’ve proposed a straightforward 6-step plan to finding relevant research topic ideas and then narrowing them down to finally choose one winner. To recap:

• Understand the basics of academic research, as well as your university’s specific requirements for a dissertation, thesis or research project.
• Review previous dissertations for your course to get an idea of both topics and structure.
• Start the ideation process by familiarising yourself with the literature.
• Identify your potential research questions (topics).
• Narrow down your options, then evaluate systematically.
• Make your decision (and don’t look back!)

If you follow these steps, you’ll find that they also set you up for what’s coming next – both the proposal and the first three chapters of your dissertation. But that’s for future posts!

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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23 Comments

I would love to get a topic under teachers performance. I am a student of MSC Monitoring and Evaluations and I need a topic in the line of monitoring and evaluations

I just we put for some full notes that are payable

Thank you very much Dr Caroline

I need a project topics on transfer of learning

m a PhD Student I would like to be assisted inn formulating a title around: Internet of Things for online education in higher education – STEM (Science, technology, engineering and Mathematics, digital divide ) Thank you, would appreciate your guidance

Well structured guide on the topic… Good materials for beginners in research writing…

Hello Iam kindly seeking for help in formulating a researchable topic for masters degree program in line with teaching GRAPHIC ART

I read a thesis about a problem in a particular. Can I use the same topic just referring to my own country? Is that being original? The interview questions will mostly be the same as the other thesis.

Hi, thanks I managed to listen to the video so helpful indeed. I am currently an MBA student looking for a specific topic and I have different ideas that not sure they can be turned to be a study.

I am doing a Master of Theology in Pastoral Care and Counselling and I felt like doing research on Spiritual problem cause by substance abuse among Youth. Can I get help to formulate the Thesis Title in line with it…please

Hello, I am kindly seeking help in formulating a researchable topic for a National diploma program

As a beginner in research, I am very grateful for this well-structured material on research writing.

Hello, I watched the video and its very helpful. I’m a student in Nursing (degree). May you please help me with any research problems (in Namibian society or Nursing) that need to be evaluate or solved?

I have been greatly impacted. Thank you.

more than useful… there will be no justification if someone fails to get a topic for his thesis

I watched the video and its really helpful.

How can i started discovery

Analysing the significance of Integrated reporting in Zimbabwe. A case of institutional investors. this is my topic for PHD Accounting sciences need help with research questions

Excellent session that cleared lots of doubts.

Excellent session that cleared lots of doubts

It was a nice one thank you

Wow, This helped a lot not only with how to find a research topic but inspired me to kick it off from now, I am a final year student of environmental science. And have to complete my project in the coming six months.

I was really stressed and thinking about different topics that I don’t know nothing about and having more than a hundred topics in the baggage, couldn’t make the tradeoff among them, however, reading this scrubbed the fuzzy layer off my head and now it seems like really easy.

Thanks GRADCOACH, you saved me from getting into the rabbit hole.

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How to Choose a Good Research Topic for Your PhD

Choosing the right research topic is quite often a daunting task, especially for PhD students. However, developing a good research question has a positive impact on students’ research careers. Thesis advisors offer help during this initial stage. Later on, PhD students are expected to choose their own research topic for subsequent studies.

When navigating through several interesting research topics, it becomes necessary to strike the right balance between curiosity and societal needs. Moreover, funding agencies fund compelling research proposals based on meaningful and highly relevant research topics. Selecting a good research topic can, therefore, increase the odds of academic success.

PhD Research Topic and Your Career

Performing a meticulous literature survey helps researchers identify existing research gaps and devise novel strategies for addressing them. Once the research gap is identified, it becomes imperative to choose a meaningful research question. A well-chosen research question can lead to a compelling research proposal. In fact, doctoral researchers can positively shape their entire career by finalizing a good research proposal. Researchers are expected to choose topics that can potentially lead to impactful publications. Good publications fetch good citations. Well-published and well-cited researchers can easily find satisfying jobs in academia or industry. Choosing the right research topic, thus, can open doors to satisfying job opportunities worldwide.

Pathway to Success

There are several ways to ensure success in research. When in graduate school, students need to undertake several measures to identify a compelling research topic. Although conducting a thorough literature survey certainly facilitates this process, it is virtually impossible to choose the right research topic solely based on literature surveys. Students and early-stage researchers, therefore, need to brainstorm thoroughly with their advisor, talk to experts, and attend research seminars/conferences to listen to (and network with) established researchers. Quite often, taking up the relevant coursework (especially for interdisciplinary research areas) simplifies the process of research topic selection.

Choosing the right research question helps researchers stay focused and motivated throughout their career. Meaningful research questions eventually lead to meaningful discoveries and inventions. Robert Smith presented in Graduate Research: A Guide for Students in the Sciences (ISI Press, 1984) a list of 11 research questions to consider:

• Can you enthusiastically pursue it?
• Can you sustain your interest while pursuing it?
• Is the problem solvable?
• Is it worth pursuing?
• Will it lead to other research problems?
• Is it manageable in size?
• What is the potential for making an original contribution to the literature in the field?
• Will the scholars in your field receive the results well if you solve the problem?
• Are you (or will you become) competent to solve it?
• By solving it, will you have demonstrated independent skills in your discipline?
• Will the necessary research prepare you in an area of demand or promise for the future?

Keeping these questions in mind while developing a research question can set the stage for a productive and fulfilling career.

Common Mistakes

There are several mistakes that students and early-stage researchers commit during the process of research topic selection. Some of the most common mistakes include:

• Extending thesis work even after graduate school : If researchers choose topics that are direct extensions or clear derivatives of their thesis work, then they do not make significant value addition to the respective field of study. Choosing a radically new research topic, while still embarking on the broad area of specialization is indeed the key to success.
• Choosing an obscure, irrelevant, or non-compelling research topic : This can adversely affect the researcher’s motivation levels and can drastically decrease their odds of attaining success.
• Letting PhD advisors choose research topics for you : Although researchers often pursue work within the same field even after earning their PhD, they are less likely to conduct research on the same exact topic. For this reason, letting your advisor tell you what to study rather than you developing a question based on your own reading and experiences in the laboratory is another common mistake that can have lifelong consequences.

Finally, scientists should work in an environment that nurtures the natural chaos of developing a research direction. PhD advisors should also make it a point to thoroughly groom and mentor their PhD students. A good thesis advisor enables his/her students to choose good research topics.

Did your thesis advisor choose a research topic for you? Did he/she train and mentor you well? Were you able to choose your own research topic? Are you happy with your chosen research topic? Please share your thoughts with us in the comments section below!

Research topics for science or literature: Deep knowledge and a keen interest in any subject with a scholarly attitude are the prerequisites for any research work.

I am allowed to choose my research topic.

i want research topic for p.hd

Thank you for posting your query. Selecting a good research topic is the first step towards carrying out a successful and impactful research study. A good research topic can help you attract funding and also help you to successfully publish in a prestigious journal. Unfortunately we are not aware of your field of research and hence will not be able to suggest you research topics. However, we can share few tips that might be helpful in selecting an appropriate research topic for your PhD. While choosing a research topic, you must carry out a thorough literature survey in your field or genre of research and look for a research gap. Identifying the research gap makes it easy to select a research topic and an appropriate research question. Once you have selected a research topic, you can check through our checklist available here .

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4001 degrees at 151 universities in the UK.

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About Postgraduate

Energy is one of the most fundamental requirements of society. It influences almost everything we do, from finance and industry to politics and commerce. We rely on it for the simplest tasks like boiling a kettleor turning on a lightbulb and it drives changes in global economies and world markets.

An Energy Economics, Management and Conservation PhD programme represents the apex of academic study in this field and informs many of the decisions made by international organisations and governments. To study it, you’ll need strong postgraduate credentials and a proposal for a piece of original research which you’ll perform and write about during your PhD.

There are currently 12 universities in the UK which offer this course and they offer a truly interdisciplinary academic experience which is extremely relevant to global business.

What to Expect

You can expect to study for three to six years and perform a significant amount of self-directed study, exploring topics relevant to your proposal which might include renewable energy economics, energy policy analysis and environmental sustainability. You may collaborate with your university industry partners and other organisations within the wider research community.

The main focus of the PhD is a dissertation project, which you’ll write under the supervision of your academic tutor and once graduated, you’ll be an authority in your area of the field, ready to find meaningful work in energy economics, policy analysis or sustainable energy research.

Related subjects:

• PhD Agriculture, Animal Care, and Veterinary Science
• PhD Archaeology
• PhD Architecture
• PhD Biology and Life Sciences
• PhD Building, Planning and Construction Management
• PhD Chemistry
• PhD Communications and Media
• PhD Computer Science and Information Technology
• PhD Creative Arts and Design and Illustration
• PhD Economics
• PhD Education
• PhD Electronic and Electrical Engineering
• PhD Engineering
• PhD English Literature
• PhD Environmental Health and Safety, Protection and Conservation
• PhD Financial Management and Accounting
• PhD Food Science and Technology, Nutrition and Dietetics
• PhD Gallery, Conservation and Museum Studies and Museology
• PhD Geography and Earth Sciences
• PhD Health Care Management and Health Studies
• PhD History
• PhD Humanities and Social Sciences
• PhD Industry, Logistics, Manufacturing and Production
• PhD Journalism and Publishing
• PhD Languages
• PhD Law and Legal studies
• PhD Leisure, Hospitality Management and Event Management
• PhD Linguistic Studies
• PhD Literature
• PhD Management, Business and HR
• PhD Marketing and PR
• PhD Mathematics
• PhD Music Technology and Production and Sound Engineering
• PhD Nursing and Midwifery
• PhD Other Sciences and Research
• PhD Performing and Dramatic Arts, Acting and Music Studies
• PhD Philosophy
• PhD Physics
• PhD Physiotherapy and other Therapies
• PhD Psychology
• PhD Religious Studies and Theology
• PhD Social Work, Community Work and Counselling Skills
• PhD Sports and Recreation
• PhD Surgery, Medicine and Dentistry
• PhD Teaching and Training
• PhD Tourism and Travel
• PhD Transport Services and Aviation

• Course title (A-Z)
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• Price: low - high

Business School MPhil/PhD

Middlesex university.

This programme will give you the opportunity to carry out cutting edge research that will help you understand the challenges of business Read more...

• 3 years Full time degree: £6,300 per year (UK)
• 6 years Part time degree: £3,150 per year (UK)

Birkbeck, University of London

An PhD is an advanced postgraduate research degree that requires original research and the submission of a substantial dissertation of Read more...

• 4 years Full time degree
• 7 years Part time degree

MPhil/PhD at UCA

University for the creative arts.

MPhil/PhD at UCA at UCA A PhD is an advanced postgraduate qualification that will require you to plan and complete your own focused Read more...

• 3 years Full time degree: £5,670 per year (UK)

PhD Postgraduate Research in Mathematics

University of east anglia uea.

We are a top tier, research-led university and are committed to making a substantial impact on the global challenges facing society. Our Read more...

• 3 years Full time degree: £4,712 per year (UK)
• 6 years Part time degree: £2,356 per year (UK)

Epidemiology and Population Health PhD

London school of hygiene & tropical medicine, university of london.

& Structure The MPhil and PhD are aimed at students who anticipate a career in which research plays a major role and who want to focus on Read more...

• 4 years Full time degree: £6,740 per year (UK)
• 8 years Part time degree: £3,370 per year (UK)

PhD Music by Composition

University of hull.

Research and advance your knowledge in a chosen area of musicology that culminates in a thesis of 100,000 words or equivalent for the Read more...

• 5 years Part time degree: £2,356 per year (UK)

History, Philosophy and Culture PhD

Oxford brookes university.

We pride ourselves on the quality of our research and the support that we give to our postgraduate research students. The School has an Read more...

• 4 years Part time degree: £2,356 per year (UK)

Creative Writing PhD

Bath spa university.

This Creative Writing PhD has a reputation as one of the UK’s leading doctoral programmes. Taught by teams of published creative writers Read more...

• 24 months Full time degree: £7,325 per year (UK)

MPhil/PhD Business and Management

University of chester.

Business and Management (BAM) is home to an intimate and burgeoning community of research active academics and doctoral students who want Read more...

• 3 years Full time degree: £4,786 per year (UK)
• 4 years Part time degree: £2,393 per year (UK)

PhD Postgraduate research opportunities in Psychology

Liverpool john moores university.

Excellent research opportunities await at the School of Psychology, enabling you to work at the forefront of developments with leading Read more...

• 4 years Full time degree: £4,786 per year (UK)
• 7 years Part time degree: £2,393 per year (UK)

PhD Creative Arts and Cultural Industries

Soas university of london.

This research degree provides advanced training and research experience at a doctoral level in the broad areas at the intersection of the Read more...

• 3 years Full time degree: £4,860 per year (UK)
• 6 years Part time degree: £2,430 per year (UK)

PhD Drama, Theatre and Performance

University of roehampton.

Research conducted in the School of Arts, Humanities, and Social Sciences covers a wide range of diverse and innovative arts practices, Read more...

• 4 years Full time degree: £4,711 per year (UK)
• 7 years Part time degree: £2,356 per year (UK)

Architecture, Construction and Environment PhD

University of gloucestershire.

What is Architecture, Construction and Environment A Landscape Architecture research degree offers you the opportunity to explore Read more...

• 4 years Full time degree: £5,100 per year (UK)
• 6 years Part time degree: £3,400 per year (UK)

Chemistry PhD

University of bath.

Research in the Department of Chemistry spans all sub-disciplines, from theoretical physical chemistry to biological chemistry and antibody Read more...

• 4 years Full time degree: £4,800 per year (UK)
• 6 years Part time degree: £2,400 per year (UK)

Cranfield School of Management’s PhD

School of management, cranfield university.

Cranfield School of Management’s PhD programme is internationally renowned, for its rigour, structure, faculty support and global Read more...

• 3 years Full time degree: £4,715 per year (UK)

PhD - Bournemouth University Business School

Bournemouth university.

The research strategy in the faculty is aligned with Bournemouth University’s 2025 vision and strategic plan; a plan that stresses Read more...

• 4 years Full time degree: £4,712 per year (UK)

MPhil PhD School of Arts and Creative Industries

University of east london.

Studying for a PhD with UEL's School of Arts and Creative Industries (ACI) will push you to the limit - but you'll be supported all the Read more...

• 3 years Full time degree: £5,740 per year (UK)
• 5 years Part time degree: £2,870 per year (UK)

Archaeology PhD

Bangor university.

Research Areas Archaeology with specialisations in Prehistoric landscape archaeology The Iron Age Celtic societies Early medieval Read more...

PhD Research Degrees

Arts university bournemouth.

Research degrees are awarded in recognition of significant contributions to knowledge and scholarship produced through the development of Read more...

• 3 years Full time degree: £6,000 per year (UK)
• 5 years Part time degree: £3,000 per year (UK)

PhD at the University of London Institute in Paris

University of london institute in paris.

Undertaking doctoral research allows you to develop in-depth knowledge, while making a meaningful contribution to your chosen field. With Read more...

• 3 years Distance without attendance degree: £6,253 per year (UK)
• 5 years Distance without attendance degree: £3,126 per year (UK)
• 3 years Online degree: £6,253 per year (UK)
• 5 years Online degree: £3,126 per year (UK)

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• University of Greenwich
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• Rose Bruford College
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How to write a PhD thesis: a step-by-step guide

A draft isn’t a perfect, finished product; it is your opportunity to start getting words down on paper, writes Kelly Louise Preece

Kelly Louise Preece

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Congratulations; you’ve finished your research! Time to write your PhD thesis. This resource will take you through an eight-step plan for drafting your chapters and your thesis as a whole. 

Organise your material

Before you start, it’s important to get organised. Take a step back and look at the data you have, then reorganise your research. Which parts of it are central to your thesis and which bits need putting to one side? Label and organise everything using logical folders – make it easy for yourself! Academic and blogger Pat Thomson calls this  “Clean up to get clearer” . Thomson suggests these questions to ask yourself before you start writing:

• What data do you have? You might find it useful to write out a list of types of data (your supervisor will find this list useful too.) This list is also an audit document that can go in your thesis. Do you have any for the “cutting room floor”? Take a deep breath and put it in a separate non-thesis file. You can easily retrieve it if it turns out you need it.
• What do you have already written? What chunks of material have you written so far that could form the basis of pieces of the thesis text? They will most likely need to be revised but they are useful starting points. Do you have any holding text? That is material you already know has to be rewritten but contains information that will be the basis of a new piece of text.
• What have you read and what do you still need to read? Are there new texts that you need to consult now after your analysis? What readings can you now put to one side, knowing that they aren’t useful for this thesis – although they might be useful at another time?
• What goes with what? Can you create chunks or themes of materials that are going to form the basis of some chunks of your text, perhaps even chapters?

Once you have assessed and sorted what you have collected and generated you will be in much better shape to approach the big task of composing the dissertation. 

Decide on a key message

A key message is a summary of new information communicated in your thesis. You should have started to map this out already in the section on argument and contribution – an overarching argument with building blocks that you will flesh out in individual chapters.

You have already mapped your argument visually, now you need to begin writing it in prose. Following another of Pat Thomson’s exercises, write a “tiny text” thesis abstract. This doesn’t have to be elegant, or indeed the finished product, but it will help you articulate the argument you want your thesis to make. You create a tiny text using a five-paragraph structure:

• The first sentence addresses the broad context. This locates the study in a policy, practice or research field.
• The second sentence establishes a problem related to the broad context you have set out. It often starts with “But”, “Yet” or “However”.
• The third sentence says what specific research has been done. This often starts with “This research” or “I report…”
• The fourth sentence reports the results. Don’t try to be too tricky here, just start with something like: “This study shows,” or “Analysis of the data suggests that…”
• The fifth and final sentence addresses the “So What?” question and makes clear the claim to contribution.

Here’s an example that Thomson provides:

Secondary school arts are in trouble, as the fall in enrolments in arts subjects dramatically attests. However, there is patchy evidence about the benefits of studying arts subjects at school and this makes it hard to argue why the drop in arts enrolments matters. This thesis reports on research which attempts to provide some answers to this problem – a longitudinal study which followed two groups of senior secondary students, one group enrolled in arts subjects and the other not, for three years. The results of the study demonstrate the benefits of young people’s engagement in arts activities, both in and out of school, as well as the connections between the two. The study not only adds to what is known about the benefits of both formal and informal arts education but also provides robust evidence for policymakers and practitioners arguing for the benefits of the arts. You can  find out more about tiny texts and thesis abstracts on Thomson’s blog.

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Write a plan

You might not be a planner when it comes to writing. You might prefer to sit, type and think through ideas as you go. That’s OK. Everybody works differently. But one of the benefits of planning your writing is that your plan can help you when you get stuck. It can help with writer’s block (more on this shortly!) but also maintain clarity of intention and purpose in your writing.

You can do this by creating a  thesis skeleton or storyboard , planning the order of your chapters, thinking of potential titles (which may change at a later stage), noting down what each chapter/section will cover and considering how many words you will dedicate to each chapter (make sure the total doesn’t exceed the maximum word limit allowed).

Use your plan to help prompt your writing when you get stuck and to develop clarity in your writing.

Some starting points include:

• This chapter will argue that…
• This section illustrates that…
• This paragraph provides evidence that…

Of course, we wish it werethat easy. But you need to approach your first draft as exactly that: a draft. It isn’t a perfect, finished product; it is your opportunity to start getting words down on paper. Start with whichever chapter you feel you want to write first; you don’t necessarily have to write the introduction first. Depending on your research, you may find it easier to begin with your empirical/data chapters.

Vitae advocates for the “three draft approach” to help with this and to stop you from focusing on finding exactly the right word or transition as part of your first draft.

This resource originally appeared on Researcher Development .

Kelly Louse Preece is head of educator development at the University of Exeter.

If you would like advice and insight from academics and university staff delivered direct to your inbox each week, sign up for the Campus newsletter .

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Sociology and Criminology

Maybe it’s the trees: james wo on crime and the environment.

Associate Professor James Wo studies differences in crime rates among neighborhoods in towns and cities. His research shows how geography and the environment impact crime rates. Some neighborhoods in the same area have dramatically lower crime rates than others. Explaining why could help planners design cities that improve the quality of life for everyone.

James grew up in Honolulu, Hawaii, and then completed college at the University of California-Irvine. He earned his PhD there in 2017 and started as an assistant professor in the sociology department at the University of Iowa that same year. In the seven years since, Professor Wo has published a wide variety of research articles in the top journals in criminology and sociology. 

He agrees that his experiences in quite different environments from Hawaii to Southern California to Iowa City shaped his research interests, but then he quickly points out the similarities between Hawaii and Iowa.  

“Hawaii is a special place,” he says. There are many cultures, races, ethnicities. And White is not the dominant one. There’s a constant exchange among different cultures, language, music, customs. Most people consider themselves to be more than one race or ethnicity. “You end up going to people’s homes and experiencing those different customs.” 

Then there is the historical backdrop of colonialism, he says. “For Hawaiians there’s a tension between staying true to our heritage and the tourist economy. People are welcoming of other people’s interests in Hawaii. It is a tolerant culture with friendly people, and I’ve felt welcome in Iowa City, too.” People in Iowa City are as welcoming and friendly as they are in Hawaii. 

Goals for Students and Teachers

James is a popular and dedicated professor who enjoys teaching both undergraduate and graduate students. For undergraduates, he likes to strike a balance between theory and practical applications. “Hopefully, I can provide them with one skill or tidbit of a theory they can use later,” he says. Students have so many different interests but here’s something they can all use. For example, how do you figure out percent increase or decrease in crime rates? It’s the same as calculating the percentage increase or decrease in the value of a house. “It’s a skill that benefits all students,” he says. The difference going from 4 to 6 is not the same as going from 28 to 30 but people have trouble explaining why. He says that in higher education it is important to teach more than knowledge of a subject, but to also teach higher-level skills. The ability to explain the reasons for the way things are and changes that could be made will help students in their future leadership positions.

“I urge graduate students to find their passion,” he says. Then find the person in your department that does the things you want to do and does them well. “It’s OK to be assertive.” That helps students learn the skills to be successful in any job. “Go out there and introduce yourself. Find the opportunities and grab them.”

At one point, his PhD advisor told James that while he was doing many things well and was a good copilot, it was time to think about the next step. His advisor asked whether he was ready to develop a new research question and take it all the way to a published article.

“It’s about being a good student but also about being a good supervisor.” Professor Wo says. He tries to give students hints rather than telling them what to do. “This comes from the heart,” he says. “I’m not trying to be a curmudgeon!” He says that people expect professors to be ready. That’s what earning a PhD means.

Designing Crime Out of Cities

His interest in how to design cities that produce less crime goes back to the old Sim City computer game when he was growing up. Professor Wo points out that a few people in relatively small areas of a city commit most of the crimes. He gives the Ped Mall in Iowa City as an example. When the university puts out a HawkAlert, it’s often for a crime in the Ped Mall, with its shops, bars, apartments, and people hanging out near the university. What city planners call mixed-use areas present more opportunities for crime. Urban planners promote walkability in cities to make them more livable, but crime often comes with it. He also says that walkability and safety are not mutually exclusive. Finding out how to have both livability and safety is the goal of his research.

There are many things that can be done, he explains. One of them is having people talk to each other more. Develop community organizations. Technologies like cameras and lighting can help but are best used together with social networking. Nowadays there are apps like NextDoor or even Facebook that work to help people communicate with their neighbors. 

Just putting a police officer on every corner probably won’t help make a neighborhood more livable, he points out. Many people are wary of the police, especially when marginalized people are unfairly targeted. A police presence can help, though, when residents and police share information. He says that it helps when policing is fair and judicious.

Professor Wo’s latest research studies the effect of “tree canopy coverage” on crime rates in an area. Through satellite imagery and some complicated modeling, the proportion of area covered by the crowns of trees is estimated. For an article published this year in the Journal of Urban Affairs, he worked with coauthors Sarah Malone and Ethan Rogers, both of whom were trained as graduate students in our department.

The idea is that neighborhoods with more trees might make the area more livable and also reduce crime. 

Results so far suggest that trees do seem to reduce the crime rate. Areas with more trees have less crime even when a study compares neighborhoods with similar income levels. Professor Wo’s research compared the effect of tree canopy over time for the same neighborhoods. His analysis produced strong evidence that more trees resulted in less crime. There are reservations, however. More trees were associated with less violent crime and the effect was substantial. But trees had no effect on property crime. In fact, motor vehicle thefts increased with tree canopy coverage in a neighborhood. And the crime-reducing effect of tree canopy coverage is largest in the most well-off neighborhoods which already have low crime rates.

Professor Wo proposes ways in which greenspace can be restorative for a community. Greenspace could add to a neighborhood’s social capital by signaling that it has amenities and people care about each other. Also, if greenspace calms people and is mentally restorative, then potential criminals might be less apt to commit crime. So planting more trees might help make a neighborhood more livable and also safer.

NOTICE: The University of Iowa Center for Advancement is an operational name for the State University of Iowa Foundation, an independent, Iowa nonprofit corporation organized as a 501(c)(3) tax-exempt, publicly supported charitable entity working to advance the University of Iowa. Please review its full disclosure statement.

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Thinking of Pursuing a PhD in Economics? Info on Graduate School and Beyond

Kasey Chatterji-Len and Anna Kovner

Becoming a PhD economist can provide a fulfilling and financially secure career path. However, getting started in the field can be daunting if you don’t know much about the preparation you’ll need and the available job opportunities. If you’re wondering what it means to be an economics researcher or how to become one, please read on. We’ll review how to prepare for a career in economics research, what an economics PhD program entails, and what types of opportunities it might bring. Economic education is a core component of the Federal Reserve Bank of New York’s mission to serve the community. To empower would-be economists, this post provides information for students who seek a career in economics research. We hope this information will be helpful to students interested in economics, regardless of their background and economic situation.  This information is most applicable to students applying to programs in the United States.  

The Breadth of Economics Research  

Academic disciplines conduct research in different ways, so it’s important to have a basic understanding of the types of questions economists ask and how they approach answering them. There are many definitions of economics, but a broadly useful one is the study of how people, organizations, and governments make decisions under different constraints, and how those decisions may affect their outcomes. 

When answering these questions, economists seek to ground their analyses in models and to be quantitatively precise about the effects they assign to any given cause. The range of topics economists can study is wide, but the accepted approaches to answering questions are stricter. Some examples of what economists might ask: 

• How do different public housing programs affect the children who live there? 
• Does a certain type of law encourage businesses to innovate? 
• How will a change in the interest rate affect inflation and unemployment rates? 
• How much does affordable health insurance improve people’s health? 
• How can poor countries eradicate poverty? 

There are many different subfields within economics, including, but not limited to behavioral, econometrics, energy/environmental, development, financial, international, monetary, public, and urban economics. You can familiarize yourself with the latest work in economics by subscribing to working paper series, such as NBER’s New This Week or the New York Fed’s Staff Reports . To get an idea of the breadth of questions economists can answer, you could listen to Stephen Dubner’s “ Freakonomics Radio ” podcast. You may also want to explore the Journal of Economic Perspectives , the New York Fed’s Liberty Street Economics blog, VoxDev , or VoxEU .  

What Is a PhD Program Like?    

Economics PhD programs typically last five to seven years. Unlike masters programs, they are often fully funded with a stipend, though most require students to complete teaching assistant and/or research assistant (RA) work as part of their funding package. In the first two years, students take classes, many of which are mathematically demanding. The rest of the program can include additional classes but is primarily devoted to original research with the aim of producing publishable papers that will constitute the dissertation.  

Faculty advisors are a central part of PhD programs, as students look to them for guidance during the research process. Economics PhD programs are offered within university economics departments, but there are similar programs in public policy and business schools. You can look at their websites to understand any differences in coursework and subsequent job placements. 

What Can You Do with an Economics PhD?  

Upon graduation, students can obtain jobs in a variety of industries. Many PhD students hope to become university professors. Governments and public policy-related institutions such as the Federal Reserve System, the U.S. federal government, the World Bank, and the International Monetary Fund (IMF) also hire economists to work on policy, lead programs, and conduct research. Finally, economics PhD graduates can also find employment at a variety of private sector companies, including banks, economic consulting firms, and big tech companies. The pay for these different positions can vary. According to the American Economics Association (AEA), the average starting salary for economics assistant professors in 2022-23 was approximately $140,000 at PhD granting institutions and $98,000 at BA granting institutions. 

Programs often publish the placements of their PhD graduates, so you can look online to see specific employment outcomes. See, for example, the University of Maryland’s placements . Ultimately, economists are highly regarded as authorities on a variety of topics. Governments, nonprofits, philanthropic foundations, financial institutions, and non-financial businesses all look to economists to answer important questions about how to best achieve their goals. Thus, earning an economics Ph.D. can potentially help you to influence issues that are important to you. 

Preparing for an Economics PhD Program  

There are several components to an economics PhD program application: college transcripts, GRE scores, letters of recommendation, and personal statements. Please download the Appendix linked below to learn more about transcripts and letters of recommendation. The Appendix details ways in which you can select coursework, obtain research experience, and develop relationships to position yourself for success as a PhD applicant.  

If you feel that you are too far along in your academic career to take enough of the classes described in the Appendix, this does not necessarily preclude you from pursuing an economics PhD. For example, it’s possible to take some of these classes through a master’s program, or through a pre-doctoral RA job. Some pre-doctoral RA jobs, such as the one here at the New York Fed , may enable you to take classes in preparation for graduate school. If you are concerned about your transcript, reach out to an economist at your university for advice; program standards for coursework and grades vary, and it’s a good idea to get more personalized advice. 

Research Experience   

If you’re interested in becoming an economics researcher and applying to PhD programs, it’s best to get research experience as soon as possible. Working as an RA is a great way to learn how to conduct research and get a better idea of whether it’s the right career path for you. Additionally, it can help you obtain a letter of recommendation for graduate school applications and improve your qualifications.  

All types of academic research can be enriching, but it’s beneficial to gain experience working directly with an economist. To find a position, you can reach out to professors whose work you find interesting or find an RA program at your school. Typical RA tasks may involve data collection and cleaning, as well as running analyses and creating charts to represent results. This is where coding skills become crucial; having taken math, statistics, and econometrics courses will also enable you to take on more responsibilities. 

You may also have the opportunity to conduct your own research, possibly under the supervision of a professor at your university. This research could be self-initiated or part of a course such as a thesis workshop. Self-directed research is a great opportunity to learn about all stages of the research process. It’s also an excellent opportunity to create a writing sample for graduate school applications. Ultimately, though, your motivation for conducting your own research project should be that you want to answer a question.  One thing economists have in common is a love of answering questions using data and theory. 

Research experience is also often obtained after completing an undergraduate or master’s degree. Taking on a full-time RA position before applying to PhD programs is very common and can make you a more competitive applicant. You may either get an RA job working for a professor or participate in a pre-doctoral RA program.  

Research assistant programs are more structured than positions with individual professors or projects, which could be helpful. Universities, parts of the government, think tanks, research organizations, and the Federal Reserve System are all good places to look for research assistant programs. To help you decide which opportunities are most desirable, you may want to ask potential employers : Where do people in this program tend to go afterward? Will I be working directly with an economist? How much of my time will be spent on academic research work? Will I be able to take classes as part of this program? Considering whether an economist will be able to evaluate your performance is an important factor for recommendation letters. The ability to take classes, either through tuition reimbursement or waivers, can also be an important benefit. 

The Research Analyst program here at the Federal Reserve Bank of New York is one example of these programs and you should check it out here . The Federal Reserve Board of Governors also has a large program, and many other regional Federal Reserve Banks have similar programs. In addition, the PREDOC website and the  NBER post listings of RA opportunities. J-PAL and IPA also tend to recruit RAs for economic development projects. Another source of RA opportunities is the @econ_ra account on X. 

Who Should Get a PhD in Economics?  

A PhD may not be for everyone, but it is for anyone—people of all genders, religions, ethnicities, races, and national origins have PhDs in economics. Many economists majored in economics, but others majored in math, physics, or chemistry. Because economics is such an integral part of policymaking, it is important that economists come from a wide range of backgrounds so policy can be stronger and more effective. The inclusion of differing perspectives helps ensure that the contribution of economists to work in public policy, academia, and beyond effectively serves the broadest range of society. 

• Coursework Appendix

Kasey Chatterji-Len is a research analyst in the Federal Reserve Bank of New York’s Research and Statistics Group.

Anna Kovner  is the director of Financial Stability Policy Research in the Bank’s Research and Statistics Group.

How to cite this post: Kasey Chatterji-Len and Anna Kovner, “Thinking of Pursuing a PhD in Economics? Info on Graduate School and Beyond,” Federal Reserve Bank of New York Liberty Street Economics , May 31, 2024, https://libertystreeteconomics.newyorkfed.org/2024/05/thinking-of-pursuing-a-phd-in-economics-info-on-graduate-school-and-beyond/.

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Disclaimer The views expressed in this post are those of the author(s) and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the author(s).

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Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.

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Drug-Resistance Mutations Find Strength in Small Numbers

• Department of Physics, Boston University, Boston, MA, US

During the past 50 years, researchers have accumulated a massive arsenal in our war on cancer . Well over 500 drugs have been approved to treat tumors, but cancer remains the second leading cause of death in the United States. The problem is partly due to drug resistance—the emergence of treatment-resistant mutants of the original disease. Now a study led by Jeff Maltas of Cleveland Clinic and Case Western Reserve University, both in Ohio, puts forward a model explaining why drug resistance is so common, vetting the model with experiments on lung cancer cells [ 1 ]. This model indicates that treatment-resistant mutants can be present in larger-than-expected numbers before treatment begins. The conclusion implies that we cannot understand cancer evolution by looking at individual mutations in isolation; instead, we should consider each tumor as an interacting ecosystem. The result could be applicable to many diseases that involve evolutionary processes, such as bacterial and viral infections.

Drug resistance is not just a cancer issue. Antibiotics, antifungals, antiparasitics, herbicides, pesticides, and even some vaccines can fail in a similar manner [ 2 , 3 ]. After initial success in killing off the target cells or organisms, the treatment can be rendered ineffective by the emergence of a resistant subpopulation. Strategies for preventing, slowing down, or overcoming drug resistance have received a lot of attention. Studies that view the emergence of resistant mutants through the lens of evolution play a major role in this effort because they can answer important questions, such as whether resistance emerges before or during treatment. What’s more, these evolutionary models can help design treatment protocols that combine delivery of different drugs with recovery periods to optimize the therapeutic effect.

A major weakness of evolutionary modeling is that it relies on many assumptions on an extremely complex process. The “survival-of-the-fittest” principle is not sufficient for reliable predictions. One would need to know the rate of various mutations, the effects of each mutation on resistance, and other technical details such as the variance in the number of offspring. It is impractical or even impossible to measure all these variables to feed them into the simulations. Instead, scientists make the simplest possible assumptions, compute their consequences, compare predictions to experimental data, and finally go back to refine the initial assumptions to reconcile eventual disagreements.

This situation has led to a major incongruence between theory and experiments, which Maltas and colleagues have worked to resolve. On the one hand, drug resistance is very common. In fact, many tumors contain a resistant mutant before the onset of treatment [ 4 ]. On the other hand, theory predicts that resistant mutants should be exceedingly rare. Experiments have repeatedly shown that such mutants have an evolutionary disadvantage: unless the drug is present, they incur a heavy penalty in growth rate and therefore should be outcompeted by their ancestor [ 5 ]. Clearly, we need to refine some assumptions. But which ones?

Many explanations have been put forward to solve this conundrum. For example, the estimates of the mutation rate may be too low. One might also need to account for the spatial aspects of disease growth, which can make natural selection less efficient [ 6 ]. Maltas and colleagues have now found another possible explanation, in a place where few people were looking. The researchers hypothesized that the growth-rate penalties for resistant mutants depend on the context (Fig. 1 ). Namely, a resistant mutant, when cultured in isolation, grows much slower than its ancestor. By contrast, when the mutant and its ancestor are cultured together, the growth-rate penalty becomes weaker. Specifically, the penalty decreases in proportion to the relative abundance of the ancestor, and the penalty nearly vanishes when the mutant is very rare. Thus, a small subpopulation carrying a resistance mutation would not experience a strong purifying selection and should persist for a long time, leading to resistance to a later-applied drug.

To test this hypothesis, the first step the team took was to translate the qualitative argument described above into a rigorous mathematical model. The idea that the evolutionary fitness of a mutation—its ability to leave offspring—can depend on the mutation’s relative abundance, or “frequency,” is not new. But such frequency-dependent selection had not been studied in the context of mutation accumulation. Maltas and colleagues generalized several classic results in population genetics to account for the possibility that the fitness cost increases as the mutant becomes more abundant. Their analytical model showed that even when frequency-dependent mutations are very rare, they should constitute most mutations present in the tumor because their lifetimes are so much greater than those of frequency-independent mutations. Through numerical simulations, the researchers validated their analytical results—confirming that frequency-dependent mutations could explain high levels of drug resistance.

The next, most compelling testing step involved experiments validating the frequency-dependent model. The researchers took a lung-cancer cell line as an ancestor and engineered three mutant cell lines by inserting commonly observed drug-resistance mutations. All three mutants grew slower than the ancestor when cultured separately, but the growth-rate penalty nearly vanished when the mutants were cultured together with the ancestor. As an additional test, the researchers cultured two of the mutants without the ancestor and found that this condition didn’t cause any increase in the growth rate. (This observation further supports the team’s conclusions because one does not expect any increase in frequency-dependent interactions between strains that are not adjacent in an evolutionary trajectory, that is, they differ from each other by more than one mutation.)

Maltas and colleagues have built a strong case for frequency-dependent selection as an important mechanism of drug resistance. Their results are also supported by recent observations of similar dynamics in microbial populations during the evolution of antibiotic resistance [ 7 ]. Collectively, these works suggest that it is time to move beyond the simple paradigm that mutations confer a fixed change in the growth rate. Instead, we should consider how mutations alter ecological interactions, which in turn affect the growth dynamics.

The new work might have important practical applications in treating cancer by refining evolutionary models of drug resistance with the inclusion of frequency-dependent selection. The results also motivate further research aimed at shedding light on the molecular mechanisms underpinning the benefit that a mutant derives from its ancestor. If scientists could develop drugs able to cut off that benefit, the resistant mutants would be outcompeted through evolutionary selection, and the subsequent treatment could be much more effective.

• J. Maltas et al. , “Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of preexisting drug resistance,” PRX Life 2 , 023010 (2024) .
• N. Sabtu et al. , “Antibiotic resistance: What, why, where, when and how?” Br. Med. Bull. 336 , ldv041 (2015) .
• W. F. Carman, “Vaccine-induced escape mutant of hepatitis B virus,” The Lancet 336 , 325 (1990) .
• L. A. Diaz Jr et al. , “The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers,” Nature 486 , 537 (2012) .
• A. H. Melnyk et al. , “The fitness costs of antibiotic resistance mutations,” Evol. Appl. 8 , 273 (2014) .
• M. O. Lavrentovich et al. , “Spatially constrained growth enhances conversional meltdown,” Biophys. J. 110 , 2800 (2016) .
• T. Dimitriu et al. , “Negative frequency dependent selection on plasmid carriage and low fitness costs maintain extended spectrum 𝛽 -lactamases in Escherichia coli ,” Sci. Rep. 9 , 17211 (2019) ; A. M. Leale and R. Kassen, “The emergence, maintenance, and demise of diversity in a spatially variable antibiotic regime,” Evol. Lett. 2 , 134 (2018) .

About the Author

Kirill Korolev is an associate professor in the Department of Physics at Boston University. He uses mathematical modeling to understand evolution and population dynamics in a variety of practical contexts. His research interests include evolution in tumors, microbial interactions, and spatial growth of populations in ecology and biology. His research combines both numerical and analytical methods and draws heavily on ideas and methods from statistical physics, applied mathematics, and the theory of stochastic processes. He received his PhD in theoretical physics from Harvard University in 2010 and later worked at the Massachusetts Institute of Technology as a postdoctoral fellow.

Frequency-Dependent Ecological Interactions Increase the Prevalence, and Shape the Distribution, of Preexisting Drug Resistance

Jeff Maltas, Dagim Shiferaw Tadele, Arda Durmaz, Christopher D. McFarland, Michael Hinczewski, and Jacob G. Scott

PRX Life 2 , 023010 (2024)

Published June 3, 2024

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Ph.D. Student Wins Best Paper at Robotics Conference

Ask a person to find a frying pan, and they will most likely go to the kitchen. Ask a robot to do the same, and you may get numerous responses, depending on how the robot is trained.

Since humans often associate objects in a home with the room they are in, Naoki Yokoyama thinks robots that navigate human environments to perform assistive tasks should mimic that reasoning.

Roboticists have employed natural language models to help robots mimic human reasoning over the past few years. However, Yokoyama, a Ph.D. student in robotics, said these models create a “bottleneck” that prevents agents from picking up on visual cues such as room type, size, décor, and lighting. 

Yokoyama presented a new framework for semantic reasoning at the Institute of Electrical and Electronic Engineers (IEEE) International Conference on Robotics and Automation (ICRA) last month in Yokohama, Japan. ICRA is the world’s largest robotics conference.

Yokoyama earned a best paper award in the Cognitive Robotics category with his Vision-Language Frontier Maps (VLFM) proposal .

Assistant Professor Sehoon Ha and Associate Professor Dhruv Batra from the School of Interactive Computing advised Yokoyama on the paper. Yokoyama authored the paper while interning at the Boston Dynamics’ AI Institute .

“I think the cognitive robotic category represents a significant portion of submissions to ICRA nowadays,” said Yokoyama, whose family is from Japan. “I’m grateful that our work is being recognized among the best in this field.”

Instead of natural language models, Yokoyama used a renowned vision-language model called BLIP-2 and tested it on a Boston Dynamics “Spot” robot in home and office environments.

“We rely on models that have been trained on vast amounts of data collected from the web,” Yokoyama said. “That allows us to use models with common sense reasoning and world knowledge. It’s not limited to a typical robot learning environment.”

What is Blip-2?

BLIP-2 matches images to text by assigning a score that evaluates how well the user input text describes the content of an image. The model removes the need for the robot to use object detectors and language models. 

Instead, the robot uses BLIP-2 to extract semantic values from RGB images with a text prompt that includes the target object. 

BLIP-2 then teaches the robot to recognize the room type, distinguishing the living room from the bathroom and the kitchen. The robot learns to associate certain objects with specific rooms where it will likely find them.

From here, the robot creates a value map to determine the most likely locations for a target object, Yokoyama said.

Yokoyama said this is a step forward for intelligent home assistive robots, enabling users to find objects — like missing keys — in their homes without knowing an item’s location. 

“If you’re looking for a pair of scissors, the robot can automatically figure out it should head to the kitchen or the office,” he said. “Even if the scissors are in an unusual place, it uses semantic reasoning to work through each room from most probable location to least likely.”

He added that the benefit of using a VLM instead of an object detector is that the robot will include visual cues in its reasoning.

“You can look at a room in an apartment, and there are so many things an object detector wouldn’t tell you about that room that would be informative,” he said. “You don’t want to limit yourself to a textual description or a list of object classes because you’re missing many semantic visual cues.”

While other VLMs exist, Yokoyama chose BLIP-2 because the model:

• Accepts any text length and isn’t limited to a small set of objects or categories.
• Allows the robot to be pre-trained on vast amounts of data collected from the internet.
• Has proven results that enable accurate image-to-text matching.

Home, Office, and Beyond

Yokoyama also tested the Spot robot to navigate a more challenging office environment. Office spaces tend to be more homogenous and harder to distinguish from one another than rooms in a home. 

“We showed a few cases in which the robot will still work,” Yokoyama said. “We tell it to find a microwave, and it searches for the kitchen. We tell it to find a potted plant, and it moves toward an area with windows because, based on what it knows from BLIP-2, that’s the most likely place to find the plant.”

Yokoyama said as VLM models continue to improve, so will robot navigation. The increase in the number of VLM models has caused robot navigation to steer away from traditional physical simulations.

“It shows how important it is to keep an eye on the work being done in computer vision and natural language processing for getting robots to perform tasks more efficiently,” he said. “The current research direction in robot learning is moving toward more intelligent and higher-level reasoning. These foundation models are going to play a key role in that.”

Top photo by Kevin Beasley/College of Computing.

Nathan Deen

Communications Officer

School of Interactive Computing