When writing a grant proposal, do you first think of the topic? The experiments? The preliminary data? Something else?

Recently, a friend who was working on a grant proposal asked if I have the specific experiments in mind first and then come up with the framing from there, or if I have the big picture framing in mind and develop the specific experiments from there. I was a little stumped at first, then realized that was because I don’t really use either of those approaches. Instead, my initial motivation is usually preliminary data that I’m excited about and where it’s clear more work needs to be done to figure out what is really going on.

Here’s an example: As a graduate student, I carried out a study on a population where I tracked a parasite outbreak and host population dynamics and, at the same time, assayed the susceptibility of the population to that parasite at three time points. The results of the susceptibility assays were not at all what I expected at the start of the experiment:

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How much evidence is there that we should aim to write every day? And are their downsides to suggesting that people aim for that?

As a postdoc, I read Robert Boice’s Advice for New Faculty Members. I think it helped me a lot as I started my first faculty position: I blocked off time for writing, learned how to use short chunks of time productively, and tried to make sure I still got research done even while I was teaching new courses. Until fairly recently, I would have considered myself strongly on Team Boice. I have recommended his book and his approach to people over the years, including one of the ideas he’s best known for: That we should aim to write every day. Now, I’m less sure how strongly to recommend his books, and my advice on how to be a productive writer has changed.

So what changed?

First, I was on a panel with a colleague of mine who is very productive. The panel was for early career folks and there was a question about how to balance all the different demands on your time as an early career faculty member, including how to still maintain research productivity while doing all the other things new faculty need to do. I preached the Boice gospel: You have to learn how to work in small chunks of time, you have to block off time for writing regularly, you can’t wait until you have a full day to write, etc. My colleague was like “yeah, that doesn’t work for me. If I have a free half hour or even hour, I will waste it. I can’t write in that time.” Instead, he structures his weeks so that there’s at least one big chunk of time where he can write.

I was shocked – this was the wrong advice to be giving! He was leading them astray! This is not the way to get off to a strong start as an assistant professor!

Or maybe not? At that time, I would have said that I followed Boice’s advice, but, looking back, I realize I was only following parts of it. Most notably, I actually wasn’t really writing every day, and I’m not sure if I ever did that as a faculty member. I block off at least one morning a week for writing. Unlike my colleague, I do try to get some writing done in smaller blocks of time, too, though I am more likely these days to save up email for those small blocks of time and try to tackle as much of it then as I can. Overall, I do a lot of writing and editing by blocking off 2-4 hour blocks of time in my calendar.

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To be sure: advice for writing discussions

When we write, we hopefully have a point we want to make. Brian has called on us to view ourselves as story tellers when writing manuscripts, embracing

the art of story-telling that knows where it is going and does it crisply so that it sucks us in and carries us along with just the right amount of time spent on details of character and setting. Where the characters (questions), the plot (story arc), the setting, the theme (the one sentence take home message) all work together to make a cohesive whole that is greater than the sum of the parts

In doing so, Brian says:

Every word, every sentence, every paragraph, every section of the paper should be working together, like a well-synchronized team of rowers all pulling towards one common goal. The introduction should introduce the questions in a way that gives them emotional pull and leaves us desperate to know the answer. The methods and results should be a page-turning path towards the answer. And the discussion should be your chance to remind the reader of the story arc you have taken them on and draw sweeping conclusions from it. Any freeloading sentence or paragraph that pulls in a different direction should be mercilessly jettisoned (or at least pushed to supplemental material).

In this post, I am going to disagree with Brian’s last point (gasp! blogging drama!), but, in doing so, I am motivated by the same goal. When trying to make a convincing argument, it can help to address the most obvious concern or counterargument. As you are leading the reader towards your exciting, sweeping conclusion, you don’t want some part of their brain thinking “Well, I guess they are unaware of this thing that sure seems like a problem for their argument.” If it’s something that a reasonably well-informed reader might be wondering about or distracted by, you should consider directly addressing it in the discussion. (This is also important in terms of not over-selling your results.)

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Poll on manuscript rejections

My recent post on building confidence, building resilience, and building CVs got me thinking a lot about rejection, including what is the “right” amount of rejection. There’s no clear answer to that question, but I think there are extremes that would not feel right for me. If every manuscript got accepted at the first journal to which I submitted it, I’d suspect I was playing it too safe in my journal choices. But I also definitely would not want every manuscript rejected from multiple journals before it was accepted!

I originally was going to do a poll asking about what percentage of manuscripts you think you should get rejected, versus what percent actually are rejected. But I think that would be easy to guess at, but that probably it would be hard to estimate well. And I realized that it’s probably more interesting to get some sense of what is actually going on. So, instead, I am going to ask about the three most recent papers on your CV. (Three is an attempt to balance not having one weird paper dominate a response with not wanting the number so high that only senior folks could answer the poll.) This will take a little time to answer, I think – I personally would have to think a bit about each of my three most recent papers and to think of their submission histories. If you’re used to plowing through quizzes, this one might take longer.

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Downsides of writing harder: musings on the need to pace myself

When I was thinking about whether to try to be more social about how I write, I thought about how I can run harder and further and faster and without it seeming so hard if I run with a friend. That was one of the things that led me to start a writing accountability group with some friends and to set up a write-on-site session once a week, as I described in Monday’s blog post. I think these changes have led me to write more. That’s a good thing, right?

In the weeks since adopting these new approaches, I’ve started to wonder about possible downsides. To go back to my running analogy: I can run further and faster and harder with a friend – but might end up getting hurt in the process if I push myself too much. Last week, I ran with a friend and was so distracted by our conversation that I didn’t notice that I had forgotten to put on a brace that I’m supposed to wear while I run. My back noticed, though, and that night it let me know that I had overdone it. I had to take a few days off from running afterwards to recover.

Clearly pushing myself harder while running can backfire – could the same be true of writing?

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Social aspects of writing

Intro: this is the second of a series of posts exploring some common themes in three books: Anne Lamott’s Bird by Bird, Helen Sword’s Air & Light & Time & Space: How Successful Academics Write, and Tad Hills’ Rocket Writes a Story. The first post focused on getting started with a new writing project, rough drafts, and the pleasures of writing. This post focuses on social aspects of writing.

 

Writing is inherently social – at a minimum, your article is read by reviewers and, of course, we write hoping that colleagues will read and understand (and maybe even like!) our article once it comes out. But the process of actually doing the writing can sometimes feel very isolated. Certainly my general approach is to hole up in my office and try to crank out some text. I get feedback from coauthors, but that’s done at a distance and with little interaction outside Word.

So, I was interested to see that Helen Sword has social habits as one of the four components of a strong writing practice. She devotes a chapter specifically to writing among others, talking about writing groups, write-on-site boot camps and retreats, and online writing forums. Each chapter of Sword’s book ends with a “Things to Try” section; for the chapter on writing among others, it includes “start a writing group” and “retreat in the company of others” as two of the four suggestions.

Right after reading that section of Sword’s book, I read a Monday Motivator email from NCFDD (written by Kerry Ann Rockquemore) that also emphasized the social aspects of writing. That email also focused on social aspects of writing, including traditional writing groups, writing accountability groups, write-on-site groups, and boot camps.

Reading those back-to-back made me realize that I severely lacked social components in my writing. I have gotten very used to setting my own goals and not sharing them with anyone else, and to holing up in my office to write. But I also don’t feel like writing is generally a problem for me, so wasn’t sure if I really needed to address the lack of social habits. If there isn’t a problem, why try to fix it?

But then, on a solo morning run, I thought about how much further and faster and more enjoyably I can run on the days where I go with a friend. And I thought about how, when I first got into distance running, I would tell some friends and family members about my race plans, which made me more committed to sticking with my training runs. And I’m much less likely to skip a run if I am meeting a running buddy, which explains why I ended up running in a downpour recently. Could these same social habits help with writing?

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Rough drafts, getting words on the page, and the pain – and pleasure – of writing

Intro: this is the first of a series of posts exploring some common themes in three books I’ve read recently that relate to writing: Anne Lamott’s Bird by Bird, Helen Sword’s Air & Light & Time & Space: How Successful Academics Write, and Tad Hills’ Rocket Writes a Story. (And, yes, one of those is not like the other.) This post focuses on getting started with a new writing project, rough drafts, and the pleasures of writing.

The post:

Everyone I know flails around, kvetching and growing despondent, on the way to finding a plot and structure that work. You are welcome to join the club.

     – Anne Lamott, Bird by Bird

Unfortunately, a universal experience of writing is that getting started can be hard. Rocket knows this:

The next day, Rocket returned to his classroom. It was time to begin. He looked down at the blank page and the blank page looked up at him. But no story would come.

From Tad Hills’ Rocket Writes a Story

This is something that all writers struggle with, but that can be especially problematic for new writers. The task can seem so big and daunting – and there’s a decent chance that you are feeling like an imposter who is about to be exposed.

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When writing, tell us your biological results!

Quick quiz! Let’s imagine you are reading the results section of a manuscript. Which of these is the most useful/interesting/compelling/informative?:

  1. Figure 2 shows the relationship between infection and lifespan.
  2. Our experiment on the relationship between infection and lifespan found unambiguous results (Figure 2).
  3. Including infection treatment as a predictor improved model fit for lifespan (stats, Figure 2).
  4. Infected hosts lived, on average, half as long as uninfected hosts (20 days vs. 40 days; stats, Figure 2).

I think we’d mostly agree that option 4 is the most informative and interesting by a long shot. It focuses on the biological results, which, as ecologists, are usually our primary interest – presumably you did the experiment because you wanted to know whether and how infection impacted reproduction, not because you just really like making figures or doing stats!

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