Guidelines for Your 20.109 Research Proposal
Writing a research proposal requires that you identify an interesting topic, spend lots of time learning about it, and then design some clever experiments to advance the field. It also requires that you articulate your ideas so any reader is convinced of your expertise, your creativity and the significance of your findings, should you have the opportunity to carry out the experiments you’ve proposed. To begin you must identify your research question. This may be the hardest part and the most fun. You can start by finding a handful of topics to share with your lab partner. Together you should discuss and evaluate the topics you’ve gathered. Consider them based on:
- your interest in the topic
- the availability of good background information
- your likelihood of successfully advancing current understanding
- the possibility of advancing foundational technologies or finding practical applications
- if your proposal could be carried out in a reasonable amount of time and with non-infinite resources
It might be that not one of the topics you’ve identified is really suitable, in which case you should find some new ideas. It’s also possible that through discussion with your lab partner, you’ve found something new to consider. Both of these outcomes are fine but relatively quickly you and your partner should settle on a general topic or two so you can begin the next step in your proposal writing, namely background reading and critical thinking about the topic.
A few ground rules that are 20.109 specific:
- you should not propose any research question that has been the subject of your UROP or research experience outside of 20.109. This proposal must be original.
- you should keep in mind that this proposal will be presented to the class, so try to limit your scope to an idea that can be convincingly presented in a ten minute oral presentation.
Once you and your partner have decided on a suitable research problem, it’s time to become an expert on the topic. This will mean searching the literature, talking with people, generating some ideas and critically evaluating them. To keep track of your efforts, you should start a wiki catalog on your OpenWetWare user page. How you format the page is up to you but check out the OpenWetWare yeast rebuild or the T7.2 wiki pages for examples of research ideas in process.
As you become more expert on your research topic, you’ll read a lot about it and you may feel
- like there’s too much to read
- like you have too many ideas and no way to map or prioritize them
- like you don’t understand what you’re reading
- all of the above
One of the best ways to help frame the problem for yourself is to discuss it with someone new. You will have an opportunity during lab to talk with a person from another lab group. This person will offer you a fresh ear to consider your proposal. You can rework your proposal based on the conversations you’ve had.
Prepare a 10 minute Microsoft® Powerpoint® talk that describes the research question you have identified, how you propose to study the question and what you hope to learn. A general outline your research proposal presentation is:
- a brief project overview
- sufficient background information for everyone to understand your proposal
- a statement of the research problem and goals
- project details and methods
- predicted outcomes if everything goes according to plan and if nothing does
- needed resources to complete the work
- societal impact if all goes well
On the day you present your team should print out and bring three copies of your Microsoft® Powerpoint® slides. Black and white is fine and you can print more than one slide per page if you like. You should also write and print out your “talking points” into the comments box of each of the slides you’ll present. These are speaking notes for your presentation. They should include the words you’ll use to describe each slide and the transitions you’ve planned between them. For example from last year’s presentations, one slide’s talking points were:
- “Slide shows normalized data (we took logs)
- Red color used for down-regulated genes
- Lime green for up-regulated
- Olive green used when nothing changed
We dictated what would be considered “Nothing” by putting them into bins Arbitrarily assigned ‘nothing’ as anything between -1 and 1, because it could just have to do with background and the such
Note many open reading frames and hypothetical proteins
Now let’s look at each component individually!”
You will be graded on the integrated success of your presentation: concepts, slides, talking points, and presentation.