Tag Archives: writing

Novelty is in the eye of the beholder: The process of writing an F award application

The image used here is released under Creative Commons CC0.

Writing an F award application is kind of like a jigsaw puzzle. There are lots of pieces, they all need to fit together just so, and it feels like it will never be complete. But writing – whether it be manuscripts, reports, or grant proposals – is a huge part of any scientist’s career, and it shouldn’t be an unpleasant process. F awards, which provide a stipend, health fees, tuition, and travel, are a great first step into the world of scientific writing.

There are a few oft-repeated adages that are thrown around when it comes to grant proposals, such as “Make your aims related, but independent” and “You need to study a little bit of a mechanism.”  While these are helpful in their own way, here are some other tips to make applying for your first F award a bit smoother:

  1. Take advantage of info sessions

Sackler offers two information sessions every year for potential F30 (M.D./Ph.D.) and F31 (Ph.D.) applicants. If you have questions about when to apply, writing, or anything else, this is the place to ask them. An additional day-long workshop is being held for the first time this year, hosted by Dean Dan Jay.

The Application – June 5th, 2 – 3:30 PM

Demystifying the Review Process – June 7th, 2 – 3:30 PM

*Writing Your Specific Aims – June 15th

*Attendance at the first two session is required for this workshop. Attendance will be limited to 20 participants.

  1. Make a list

There are several pieces to this application – so many that it’s possible for some of them to fall through the cracks. A checklist is a simple way to ensure you won’t need to rush to complete a document (or worse, start writing it!) minutes before the deadline. The following list is accurate as of Spring 2018:

  • Abstract/Project SummaryApplicant’s Background and Goals for Fellowship Training
  • Bibliography and References Cited
  • BioSketch
  • Cover Letter
  • Equipment
  • Facilities and Other Resources
  • Institutional Commitment
  • Letters of Support
  • Project Narrative
  • Research Strategy
  • Resource Sharing Plan
  • Respective Contributions
  • Responsible Conduct of Research
  • Selection of Sponsor and Institution
  • Specific Aims
  • Sponsor Information
  • Sponsor’s BioSketch
  • Vertebrate Animals

If you’re resubmitting your application, you’ll also need to include an “Introduction,” a one-page document where you respond to the criticisms of each reviewer.

  1. Gather preliminary data

To the bench! With data in hand, you can work with your advisor to determine what kind of story you want to tell. Your goal here will be to gather data that will demonstrate the feasibility of your proposal. Starting early is key, as this process can take several months. The more data you have, the better. It shows the reviewers that you can work hard and be productive.

  1. A picture is worth a thousand words

Begin crafting your figures before writing. Figures are a visual representation of your story; having it effectively “storyboarded” out makes it easy to see where there are holes in your data. Patching these now makes for a much stronger initial application.

  1. Make your Aims into an outline

Your Specific Aims page functions as an overall summary of your proposal. While your reviewers must read the whole proposal, you should assume that most other panel members will only scan this section. All of the critical aspects of your proposal should be clearly stated here, including the impact and novelty of your research.

  1. Stagger writing with editing

Once you write your initial aims, send it to your advisor for comments and get started on the next piece of your application. As your advisor returns documents with comments, you can edit and send them back. A continuous cycle of writing, editing, and rewriting keeps the process moving and keeps you from working on the same document for too long. You’re more likely to catch typos and other errors by looking every so often with fresh eyes.

  1. Play the matching game

Consistency is huge in any F award application. You will reference your aims multiple times in the Research Strategy section. As you craft your proposal, make sure that the methods listed under each aim match in the Research Strategy and Specific Aims sections.

  1. Ctrl-F for key words

There are certain core concepts that, when missing, are easy for reviewers to point out as a flaw. Your application should not only comment on the novelty and innovation of your proposed research, but also include key phrases such as “sex as a biological variable.” Reviewers may simply search for these terms to see if you address them, so you should do it, too. Talk to your advisor for some examples. As someone who writes and reviews grants, they will know exactly what they would look for in a proposal.

  1. Skip the jargon

Not every reviewer you have will be an expert in your field. In fact, it’s likely that none of them will be familiar with your precise topic of interest. If a simple word will do the job, use the simple word. The less reviewers have to think about what you’re trying to say, the better they will feel about your proposal.

 

Easier said than done, right? Don’t be discouraged if your proposal isn’t funded in its initial submission. Only about 13% of applications are at Sackler. However, making the strongest proposal you can initially will make it easier to edit for resubmission, and much more likely to be funded the second time around. Over the last five years, Sackler applicants have had a 30% success rate (this number includes both proposals funded initially and those funded after resubmission). For a breakdown of success rates by NIH institute, check out the following link: https://report.nih.gov/success_rates/. The F30/F31 spreadsheet is #3 under “Training and Research Career Development Programs.”

Finally, take a break once you’ve submitted the proposal! Rest and recharge before returning to the bench so you can get ahead on your next project.

 

Sources and Related Reading:

  1. NIH. Write Your Application. Last updated: 2016 Jan 28 [cited 2018 May 17]. Available from: https://grants.nih.gov/grants/how-to-apply-application-guide/format-and-write/write-your-application.htm
  1. Chasan-Taber L. 10 Tips for Successful Grant Writing. The Chronicle of Higher Education. 2018 Feb [cited 2018 May 17]. Available from: https://www.chronicle.com/article/10-Tips-for-Successful-Grant/242535
  1. McCollum, L. To Resubmit or Not To Resubmit? GradHacker. 2015 Feb [cited 2018 May 17]. Available from: https://www.insidehighered.com/blogs/gradhacker/resubmit-or-not-resubmit
  1. Hollenbach, AD. A Practical Guide to Writing a Ruth L. Kirschstein NRSA Grant. 1st ed. Oxford: Academic Press; 2014.

• This resource is available from Hirsh Health Sciences Library.

What Scientists Can Learn From Fiction Writers

Scientists don’t often think of themselves as writers. Our employment responsibilities do not include crafting characters or building worlds from words, nor investigating the latest political scandal, nor travelling the globe and composing reflections on our experiences. Yet, we do write: grants, reports, manuscripts. It is how we distribute our knowledge and the science we have done, because graphs and images and data have little impact if not shared. We write and revise as much as any journalist or novelist; still, writer isn’t an identity most scientists would primarily claim.

We are, though. Scientists are writers. Scientists are storytellers. Each graduate student, post-doc, faculty member has a story they are telling through their science. The scale and impact differs, but the fact remains: we must spin a tale convincing enough for our science to be funded, to be published, to matter. We are  writers, and we don’t even realize it.

I was trained to be a writer in the classical sense, specifically fiction writing. There were certain lessons that we learned over and over again, because they were fundamental to crafting even the most basic story. What fascinates me is that I have encountered these components informally in my graduate school training, just in the guise of doing good science.

We use basic story structure in writing articles: our beginnings ask a question, which we then try to answer in the middle, and our ends show how we have changed our little corner of the science world with our answer. There may even be a cliffhanger in there–alluding to a sequel coming soon to a journal near you!–if we’ve created even more questions with our answer. Grant writing uses a similar structure, with more emphasis on the cliffhanger. Leaving your reader on the edge of his seat, wondering what could come next, is something both scientists and fiction writers want (equally for the validation of having intrigued your audience and the satisfaction that such engagement often results in financial investment).

Show, don’t tell. Rather than telling a reader that a character is angry or sad, a writer should describe the character’s balled-up fists or tear-stained cheeks. For scientists, our equivalent of ‘telling’ is ‘data not shown’–and we all know how much we should avoid that. We do our showing in our figures. A scientist knows that the more data you can include, all the better. A scientist also knows that the more visually appealing your data is, the better it represents your conclusions. No one likes to read tables, right? Those data become so much more interesting as a pie chart, a graph, or a schematic. We show as much as we can, and tell as little as possible, because the best case scenario is when the data speaks for itself, instead of the scientist speaking for it.

Stories are much more interesting when they start in media res, or in the middle: no boring leadup, no extensive exposition. It is why publications often start with describing a hit or two they discovered from a screen, instead of the million little steps that led up to and happened during the screen itself. Good papers do that, and so does good fiction. The first Harry Potter book does not walk the reader through Harry’s childhood; it just starts right at the moment his life is about to change. Relevancy and immediacy are key components to telling any story, and scientists know and practice these principles to the best of their ability.

Crafting things out of thin air to make a story is a staple of fiction, but we know that as data fraud in the science world. The ‘characters’ in our scientific writing, the ‘plot’, the ‘setting’, the ‘rising action’, the ‘falling action’, all of those things have to be based on facts and evidence, on carefully planned and painstakingly executed experiments. They are based on reality. We know this; every scientist knows this. What we as scientists may not realize, however, is the extent to which fiction writing is also rooted in reality. Creating characters or worlds out of thin air is in actuality rarely done. The foundation of so many characters–ordinary or fantastical–come from experiences and observations within the writer’s own realm. It is a different way of collecting and representing evidence, a different way of asking or answering a question about the world. This reality-turned-fiction is one of the best ways a novel writer can build a sense of believability even in the most far-fetched fiction. It also builds trust between author and reader, one of the most important–and difficult–parts of fiction writing. Scientists have these components within their works as well, though constructed and strengthened in a different manner. Trust in science is built through executing proper and thorough controls, validating via different experimental methods, and considering (and hopefully, systematically eliminating) alternate theories or explanations. So regardless of the method in which they are built, that believability and that trust are critical components to any story, be it science or fiction.

Fiction writing, creative nonfiction writing, journalistic writing are all still very different beasts than scientific writing. Still, it would benefit scientists to focus less on the differences and more on where our often polarized fields actually do intersect. So much of our work is to provide convincing answers to difficult questions, and that type of evidence-based persuasion can be drastically more powerful if we use the same tools that traditional writers do. Scientists need to learn these tools as undergraduate and graduate students through formalized, structured, specified, and required coursework. That training will carry us, and our work, miles farther in graduate school and in our careers beyond. We need to be trained as writers, maybe as much as we are trained as scientists. Communicating our work in a persuasive and captivating manner is more important the ever, given the disturbing loss of faith in evidence-based arguments. We, as scientists, need to win that trust back, and to do so, we better be able to tell one hell of a story–to our funding institutions, to our public–about our science. For science to progress, we need our stories to be loud, to be spellbinding, to be believed and trusted by the public. We need to be writers, otherwise we might one day read a story about science that starts with once upon a time…