I've been tasked by my Research Office to give a presentation on writing NSF preproposals. This is a topic I've written about before, but I am curious what types of questions are out there. If you were attending such a presentation, what information would you hope to hear about?
Archive for the '[Education&Careers]' category
For a typical Biology Department, TAs are a critical resource. Teaching Assistants run most of the labs in the department, and in some cases run recitations or help grade exams in large classes. In most places I have been the TAs are limited in the number of hours they can work in a given week, usually in the range of 20h/wk. TA support comes with pay that covers the stipend, and importantly, the tuition and fringe of the student for the semesters they are teaching. In that sense, their major professor does not need to support them off grants while they TA, but their research time is limited by the contact hours, lab prep and grading.
Since many biology departments are largely geared towards NSF funding, TA support allows for more students to be involved in a project than can be supported directly from a single grant. In my college, for instance, the Dean's office will match a semester of TA support for every semester or RA support a PI has on a grant. This allow us to be a little flexible in our budgeting, since the actually dollar amount of federal grants has not climbed appreciably in quite some time, whereas inflation and institutional overhead rates (which IS counted into the budget of an NSF grant) have increased, unabated.
Therefore, we have graduate students performing an important role in the teaching mission of a department as a way to directly supplement the research mission of the department.
And this is where it can get tricky, folks. Because not every class runs the same way and not every professor understands the big picture. If you think of TAs as graduate students who are teaching to supplement their research time, you will have very different expectations than if you see a TA as a junior teacher there to relieve teaching burden from the professor. There will be different task and time expectations and the inequity of these across the curriculum can be significant. As graduate students, it's important to know what the expectations are when you agree to take on a new class.
But more importantly, departments need to ensure that there are cultural norms for these expectations. Is it expected that TAs should work their full time allotment every week? If not, what is a reasonable load? After all, the grad students are there to get their degree, not bear the burden of your teaching load.
EDIT: I forgot an important point that I was reminded of on Twitter: TA's are paid for at the university level by overhead dollars. Thus they are paid for by research to support the research mission.
Professor. It's a term used to cover a wide swath of job in the US, from people who strictly teach undergraduates to soft money researchers. The spectrum of people, jobs, situations and career options makes the title a grab-bag of many things. At each end of the spectrum you have jobs that are nearly, if not entirely, non-overlapping in their responsibilities and requirements.
Some professors find teaching to be the hardest part of their job. Others are mired in administrative bullshit or frustrated by the constant need to hump the leg of one's particular funding agency. But there's one stress aspect all of these jobs share:
Work / life balance.
It doesn't matter if you're single or married with 12 kids, I don't know a single professor under 50 who doesn't routinely struggle with meeting the demands of their work while maintaining some semblance of normal (whatever that is) at home. I've posted before about the fallacy of balance (spoiler: balance means doing at least one thing poorly all the time, just don't make it the same thing all the time) and it doesn't really exist. But there's lots of jobs that require a lot of hours, right? Yes, but one of the major benefits of academia is also what makes balancing it so tricky - there's no boss.
Some jobs have hourly work week expectations of their more junior people that are either institutional or explicit. Some jobs require a certain amount of travel. As a professor, you make all your own choices on how to spend your time. As such, I almost always hear people comparing notes about how each other spends their time.
"How much do you travel?"
"How many hours a week do you spend in your office?"
"How much do you work at home?"
"How many hours of sleep do you get?"
These are all questions I've asked or been asked in the last few months. Everyone is trying to figure out what the "right" balance is when the reality is that it is completely amoeboid. No two people's situations are the same, nor is any one person's situation the same from one month to the next. Workload, health, kids, parents, phase of the moon, mood of your administration, how needy your cat is, your town's climate, etc., etc., etc., all play in to what you can give and to whom.
And it's up to you to gauge how to spend your time, sometimes months in advance. The challenges of these decisions are really the one stressor that unites all academics, across the board.
We're coming up on another job season and, like always, I'm seeing tons of jobs requesting Letters of reference up front. This is stupid and wastes a huge number of people's time. It really needs to stop. I posted this last year, but my views haven't changed.
Once again my department is putting together a job ad. There's been much discussion over the wording of the ad and exactly how we want to phrase every last detail. Frankly, the minutia of picking one word over another because of subtle differences in implication is rather pointless in today's job market. People aren't worried about the exact phrasing including or excluding them because it doesn't.
One thing I always fight hard for, however, is that we not ask for letters of reference, up front. Why? I mean, maybe an LoR is so good it puts someone on the shortish list! But do the math. Let's say you are advertising a specialized position and you get 100 applications. Three LoRs per application gives you 300 LoRs. If you plan to phone interview 10, there's a really good chance there's nearly 270 LoRs that will never or barely be read.
It does not take much time to send off an LoR, this I know. But it's one more deadline for busy people. In fact, unless the job candidate is a special snowflake, there's a pretty good chance that it's 30-40 more deadlines for busy people. And for what? So the committee can maybe argue a little longer over numbers 10 and 11 on the list? Please.
If you are involved in a job search, do your community a favor. Don't ask for LoRs until the shortish list. Those 30 people will actually feel like they are helping the candidate rather than mailing out fliers for a job-a-thon.
Long time readers may be aware that I've dabbled in the NIH game a bit in my wayward youth. In this effort I've had mixed success - one proposal landing 1%ile out of funding and two triaged. My last round of NIH reviews was particularly blunt in slapping me with some language to the effect of "You should learn to write for NIH before you resubmit", so I have concentrated on diversifying my NSF portfolio since last slinking away to lick my wounds.
In October I'm planning on submitting an R21 to support an off-shoot of a core project. I'm taking it in an unusual direction for me that aligns better with NIH and the R21 mechanism is, on paper just right for the proposal. That is because the R21 mechanism is geared towards limited support ($275k direct) for a short (2 year) and "risky" project. This mechanism was NIH's response to criticism that it only funds safe and proven projects that result in incremental science.
The idea, of course, is to get into the NIH system and generate data that would lead to an R01 proposal in a couple of years. I'm sure this is the intention of most people opting for an R21.
The numbers that Datahound churned up are a bit sobering with regard to future NIH success for R21 award winners. Although he's quick to point out the small sample size, it's very interesting that 72% of those with only R21 support in 2009 had no NIH money in 2013. Out of those who still had NIH money, 10% only had another R21. This suggests that the transition from R21 to R01 support is not all that common.
Why is that? There's several possible reasons. Certainly the smaller nature and shorter application (6 pages) of the R21 may be more attractive to PIs are smaller institutions. Perhaps the focus on the R21 takes away from landing the R01, stunting the progress of some labs. Maybe most R21 holders have no intention of taking the next step, but simply subsidize other funding with the R21. I don't know the answer and it would be damn near impossible to sort through all those (and other) options.
I'm sure the truth lays somewhere in between them all.
For those of you who have applied for an R21, why did you apply for that mechanism? Did/do you intend to shoot for an R01? If not, why not?
Ecologists will be very familiar with the idea of r Vs. K selection, coined by MacArthur and Wilson in the 1970's to describe reproductive strategies. In a nutshell, r selection is the production of many offspring without investing a huge amount in any one. K selection, on the other hand, is a heavy investment of resources in relatively few offspring.
A K selection strategy is one that is optimal in a predictable and stable environment, where offspring will be given a leg up by a heavy investment in, say, egg yolk or lengthy parental care. An unpredictable environment selects for an r strategy, where many offspring will perish, but the few that land in the right environment will have the opportunity to thrive.
Obviously these are two ends of a spectrum with a lot of gray in between, but the point I'm trying to illustrate is the strategic decisions junior PIs have to make to achieve some level of survival in the grant game. Whereas it does no good to spam agencies with poorly thought out proposals, I would also argue that repeatedly banging one's head against the walls of NSF or NIH with a single proposal or idea is just as flawed. Both may result in funding (with the latter probably more likely), but both could just as easily result in nothing.
My advice to junior people is to get more than one idea in the system. Yes, you'll have you favorite proposal, but you need to be floating more than that at all times. Two is better. Three is even better. You will get the best value if they can go to different directorates/panels/ICs/agencies. Diversify your portfolio so you are not completely dependent on one source of funding now, and for your career. Being too far on the K selection side of the slider leaves you incredibly vulnerable to changes in your particular corner and just the general stochasticity that comes with single digit funding rates. There have been times when a K strategy was viable and you will still hear that advice from some senior people, but that time is not now, nor will it be for some time.
Like any of us, I get a lot of request to review manuscripts from different journals. It tends to come in waves where I might go a month without, then have 4 requests hit my desk all at once. I would say that I turn down roughly a third of the requests I get, either because I am too busy with other things or because I already have a few sitting on my desk. Fair or not, I tend to decline smaller journals more often, usually because the science is less compelling to me.
But rather than just decline, I almost always send an email to the AE and suggest that they send the review request to one of my trainees. I tell the AE that I will assist my lab member with the review, but I don't have time to spearhead it myself.
People have asked me why I do this rather than just accepting and having one of my people handle the review. It's true that usually the AE does not end up sending the review to a student or postdoc. But sometimes they do. And when they do, the student or postdoc gets to handle the correspondence. They get in the journal's system as a reviewer. They get their name in the head of an AE who might see their good work and remember them next time they handle a paper on the topic. They get direct recognition.
I am not a PI who like to put my name on things my people do. I want them as first authors. I want my postdocs as PIs on grant applications. I want their name out there in the position that reflects their effort and I don't understand the motivation for making them ghost writers.
Folks, there are lots of things that chap my ass, but few so much as the automatic defense of well know dudes when an accusation of inappropriate behavior is leveled by an unknown woman. You can count on it like the reflex of the leg jerking when struck at the knee. It doesn't matter if it's Woody Allen, some Neuroscientist with a long history that Vanderbilt has vowed to "vigorously defend", a major pillar of the science blogging community or a senior dude down the hall. Every time someone gets accused of sexual harassment you can count on a ground swell of excuses.
Every. Damn. Time.
Last week we even had a study published making it overwhelmingly clear that science has a problem. And yet the majority default reaction to accusations is to discredit the source. Maybe she didn't understand him or his culture! She's too tightly wound and he was just kidding! She's doing this to get her name out there or for money. I heard she's just crazy.
What goes seemingly unrecognized is that the penalty for reporting is SO high, that one just might have to be crazy to do so, even after enduring years of harassment. The easier path is to endure and leave as soon as you can with your degree/LoR/Paper/whatever. It's the path many choose, because the deck is stacked so heavily against them they stand to lose everything, regardless of the outcome. The false positive rate is vanishingly small, yet treated as the default.
And herein lies the problem. Sexual harassment is beyond tolerated to the point where it's almost encouraged because there is little to no penalty. Until we make reporting easy and effective - with actual punishment for this behavior - there won't be any improvement. The university will defend its lecherous men, science will revere its big names no matter what they did and society will defend the idea of the crazy accuser.
I'm often slow to the punch when things hit the internet, and as a consequence regularly avoid re-hashing things that others have covered better. Such was the case yesterday when the cover of Science hit the stands and others were quick to call bullshit, and zoom out a bit at a larger problem. Both of those posts are excellent and thoughtful and I would normally leave it to them.
But the apology by Science Editor-in-Chief Marcia McNutt sincerely rubs me the wrong way.
From Science Editor-in-Chief Marcia McNutt:
Science has heard from many readers expressing their opinions and concerns with the recent [11 July 2014] cover choice.
The cover showing transgender sex workers in Jarkarta was selected after much discussion by a large group and was not intended to offend anyone, but rather to highlight the fact that there are solutions for the AIDS crisis for this forgotten but at-risk group. A few have indicated to me that the cover did exactly that, but more have indicated the opposite reaction: that the cover was offensive because they did not have the context of the story prior to viewing it, an important piece of information that was available to those choosing the cover.
I am truly sorry for any discomfort that this cover may have caused anyone, and promise that we will strive to do much better in the future to be sensitive to all groups and not assume that context and intent will speak for themselves.
-- Marcia McNutt, Editor-in-Chief, the Science family of journals
16 July 2014
Context: Science cover caption -- http://bit.ly/1ytCpYW
So the idea here is that if we had only read the article first we would TOTALLY GET IT and be all "OMG, that's such a great representation of the story!" Whereas it's great that Science is admitting a screw up, they are still confused as to why people were upset. Does it seem like these people would have a different opinion if they saw the picture after reading the article? Yeah, try again Marcia.
— Potty Theron (@pottytheron) July 17, 2014
The cover of science is lurid, hackneyed, and connected to the topic of the issue only because of stereotype perceptions, for starters.
— Francois Gould (@PaleoGould) July 16, 2014
We are bombarded with the Q "Why do women leave STEM?" In the last wk we have 1.) dehumanization of transwomen on the cover of Science (1/3)
— Amanda Yoho (@mandaYoho) July 16, 2014
— Melissa WilsonSayres (@mwilsonsayres) July 16, 2014
— eastsidekate (@eastsidekate) July 16, 2014
@SciCareerEditor This isn't "moral indignation". This is anger, sadness, & embarrassment that my field is yet again marginalizing people.
— Emily Finke (@seelix) July 16, 2014
I realized yesterday that I put the new Pre-tenure Advice page up without actually writing a post to introduce it. I've added new posts as they come in and will continue to do so. I also plan on routing through some other blogs and I've got to spend a bit of time looking through my own archives as well, but there's a daunting number of posts there to contend with. For the moment, this is a summary of what people submitted, but keep them coming and the main page will be updated accordingly.
Some of the advice I got starting out
Surviving the pre tenure years
Navigating the Tenure Track
How I Survived The Junior Faculty Years
How to get tenure in 90 minutes
Not trained for it
Cackle of Rad
On navigation and trust on the TT
Lab people and culture:
The New PI
Establishing lab culture in a new lab
What kind of a mentor do I want to be?
Planning and executing research:
Risks in research: why you have to take them
The New PI
20% protected time to generate new ideas
No advice on surviving the TT
Pre-tenure Advice: Blocking out time for your research
Getting things done in academia
K99/K00 award management:
The First Year:
The first days of a new tenure-track faculty job
Dwelling on the positives
Repost: What to expect in the first year
The Second Year:
Risk Management and betting on oneself
How Many Papers for Tenure?
Slowly letting the lecture go
How do you choose your pre-tenure service?