Open Grantsmanship

(by drugmonkey) Apr 27 2016

The Ramirez Group is practicing open grantsmanship by posting "R01 Style" documents on a website. This is certainly a courageous move and one that is unusual for scientists. It is not so long ago that mid-to-senior level Principal Investigator types were absolutely dismayed to learn that CRISP, the forerunner to RePORTER, would hand over their funded grants' abstract to anyone who wished to see it.

There are a number of interesting things here to consider. On the face of it, this responds to a plea that I've heard now and again for real actual sample grant materials. Those who are less well-surrounded by grant-writing types can obviously benefit from seeing how the rather dry instructions from NIH translate into actual working documents. Good stuff.

As we move through certain changes put in place by the NIH, even the well experienced folks can benefit from seeing how one person chooses to deal with the Authentication of Resources requirement or some such. Budgeting may be helpful for others. Ditto the Vertebrate Animals section.

There is the chance that this will work as Open Pre-Submission Peer Review for the Ramirez group as well. For example, I might observe that referring to Santa Cruz as the authoritative proof of authentic antibodies may not have the desired effect in all reviewers. This might then allow them to take a different approach to this section of the grant, avoiding the dangers of a reviewer that "heard SC antibodies are crap".

But there are also drawbacks to this type of Open Science. In this case I might note that posting a Vertebrate Animals statement (or certain types of research protocol description) is just begging the AR wackaloons to make your life hell.

But there is another issue here that I think the Readers of this blog might want to dig into.

Priority claiming.

As I am wont to observe, the chances are high in the empirical sciences that if you have a good idea, someone else has had it as well. And if the ideas are good enough to shape into a grant proposal, someone else might think these thoughts too. And if the resulting application is a plan that will be competitive, well, it will have been shaped into a certain format space by the acquired wisdom that is poured into a grant proposal. So again, you are likely to have company.

Finally, we all know that the current NIH game means that each PI is submitting a LOT of proposals for research to the NIH.

All of this means that it is likely that if you have proposed a 5 year plan of research to the NIH someone else has already, or will soon, propose something that is a lot like it.

This is known.

It is also known that your chances of bringing your ideas to fruition (published papers) are a lot higher if you have grant support than if you do not. The other way to say this is that if you do not happen to get funded for this grant application, the chances that someone else will publish papers related to your shared ideas is higher.

In the broader sense this means that if you do not get the grant, the record will be less likely to credit you for having those ideas and brilliant insights that were key to the proposal.

So what to do? Well, you could always write Medical Hypotheses and review papers, sure. But these can be imprecise. They describe general hypotheses and predictions but....that's about all.

It would be of more credit to you to lay out the way that you would actually test those hypotheses, is it not? In all of the brilliant experimental design elegance, key controls and fancy scientific approaches that are respected after the fact as amazing work. Maybe even with a little bit of preliminary evidence that you are on the right track, even if that evidence is far too limited to ever be published.

Enter the Open Grantsmanship ploy.

It is genius.

For two reasons.

First, of course, is pure priority claiming. If someone else gets "your" grant and publishes papers, you get to go around whining that you had the idea first. Sure, many people do this but you will have evidence.

Second, there is the subtle attempt to poison the waters for those other competitors' applications. If you can get enough people in your subfield reading your Open Grant proposals then just maaaaaybe someone on a grant panel will remember this. And when a competing proposal is under review just maaaaaaybe they will say "hey, didn't Ramirez Group propose this? maybe it isn't so unique.". Or maybe they will be predisposed to see that your approach is better and downgrade the proposal that is actually under review* accordingly. Perhaps your thin skin of preliminary data will be helpful in making that other proposal look bad. Etc.

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*oh, it happens. I have had review comments on my proposals that seemed weird until I became aware of other grant proposals that I know for certain sure couldn't have been in the same round of review. It becomes clear in some cases that "why didn't you do things this way" comments are because that other proposal did indeed do things that way.

19 responses so far

On writing a review

(by drugmonkey) Apr 26 2016

21 responses so far

Review unto others

(by drugmonkey) Apr 25 2016

I think I've touched on this before but I'm still seeking clarity.

How do you review?

For a given journal, let's imagine this time, that you sometimes get manuscripts rejected from and sometimes get acceptances.

Do you review manuscripts for that journal as you would like to be reviewed?

Or as you have perceived yourself to have been reviewed?

Do you review according to your own evolved wisdom or with an eye to what you perceive the Editorial staff of the journal desire?

31 responses so far

Sunday Sermon

(by drugmonkey) Apr 24 2016

I just want you to think about that which you do. 

53 responses so far

Labor

(by drugmonkey) Apr 22 2016

If you have a laboratory that has one postdoc, one grad student and on average has two undergrad volunteers most of the time, you don't run a two person lab. You run a four person lab.

Reflexively appealing to how they have to be trained in a ploy to pretend you aren't using their labor is nonsense.

119 responses so far

Shorthand

(by drugmonkey) Apr 22 2016

Storyboard

Pretty data

N-up

Prove the hypothesis

Representative image

Trend for significance

Different subcultures of science may use certain phrases that send people in other traditions into paroxysms of critique.

Mostly it is because such phrasing can sound like bad science. As if the person using it doesn't understand how dangerous and horrible their thinking is. 

We've gone a few rounds over storyboarding and representative images in the past. 

Today's topic is "n-up", which is deployed, I surmise, after examining a few results, replicates or subjects that look promising for what the lab would prefer to be so. It raises my hackles. It smells to me like a recipe for confirmation bias and false alarming. To me.

Apparently this is normal phrasing for other people and merely indicates the pilot study is complete? 

How do you use the phrase?

33 responses so far

Genius, musician, showman and one hell of an axeman. RIP.

(by drugmonkey) Apr 21 2016

He'll be missed.

3 responses so far

Abortion is more humane than child neglect

(by drugmonkey) Apr 20 2016

jmz4 asks:

DM, what's your reasoning behind advocating for reducing grad student numbers instead of just bottlenecking at the PD phase? I'd argue that grad students currently get a pretty good deal (free degree and reasonable stipend), and so are less exploited. Also, scientific training is useful in many other endeavors, and so the net benefit to society is to continue training grad students.

My short answer is that it is more humane.
Continue Reading »

83 responses so far

NIA paylines and anti-ESI bias of review

(by drugmonkey) Apr 20 2016

MillerLab noted on the twitters that the NIA has released it's new paylines for FY2016. If your grant proposal scores within the 9%ile zone, congrats! Unless you happen to be an Early Stage Investigator in which case you only have to score within the top 19% of applications, woot!

I was just discussing the continuing nature of the ESI bias in a comment exchange with Ferric Fang on another thread. He thinks

The problem that new investigators have in obtaining funding is not necessarily a result of bias but rather that it is more challenging for new investigators to write applications that are competitive with those of established investigators because as newcomers, they have less data and fewer accomplishments to cite.

and I disagree, viewing this as assuredly a bias in review. The push to equalize success rates of ESI applicants with those of established investigators (generational screw-job that it is) started back in 2007 with prior NIH Director Elias Zerhouni. The mechanism to accomplish this goal was, and continues to be, naked quota based affirmative action. NIH will fund ESI applications out of the order of review until they reach approximately the same success percentages as is enjoyed by the established investigator applications. Some ICs are able to game this out predictively by using different paylines- the percentile ranks within which almost all grants will be funded.

NIA-fundingpolicyAs mentioned, NIA has to use a 19%ile cutoff for ESI applications to equal a 9%ile cutoff for established investigator applications. This got me thinking about the origin of the ESI policies in 2007 and the ensuing trends. Luckily, the NIA publishes its funding policy on the website here. The formal ESI policy at NIA apparently didn't kick in until 2009, from what I can tell. What I am graphing here are the paylines used by NIA by fiscal year to select Exp(erienced), ESI and New Investigator (NI) applications for funding.

It's pretty obvious that the review bias against ESI applications continues essentially unabated*. All the talk about "eating our seed corn", the hand wringing about a lost generation, the clear signal that NIH wanted to fund the noobs at equivalent rates as the older folks....all fell on deaf ears as far as the reviewers are concerned. The quotas for the ESI affirmative action are still needed to accomplish the goal of equalizing success rates.

I find this interesting.

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*Zerhouni noted right away [PDF] that study sections were fighting back against the affirmative action policy for ESI applications.

Told about the quotas, study sections began “punishing the young investigators with bad scores,” says Zerhouni.

Note: It is probably only a coincidence that CSR reduced the number of first time reviewers in FY2014, FY2015 relative to the three prior FYs.

16 responses so far

On removing grant deadlines

(by drugmonkey) Apr 20 2016

Eric Hand reported in Science that one NSF pilot program found that allowing for any-time submission reduced applications numbers.

Assistant Director for Geosciences Roger Wakimoto revealed the preliminary results from a pilot program that got rid of grant proposal deadlines in favor of an anytime submission. The numbers were staggering. Across four grant programs, proposals dropped by 59% after deadlines were eliminated.

I have been bombarded with links to this article/finding and queries as to what I think.

Pretty much nothing.

I do know that NIH has been increasingly liberal with allowing past-deadline submissions from PIs who have served on study section. So there is probably a data source to draw upon inside CSR if they care to examine it.

I do not know if this would do anything similar if applied to the NIH.

The NSF pilot was for

geobiology and low-temperature geochemistry, geomorphology and land-use dynamics, hydrological sciences, and sedimentary geology and paleobiology.

According to the article these are fields in which

"many scientists do field work, having no deadline makes it easier for collaborators to schedule time when they can work on a proposal".

This field work bit is not generally true of the NIH extramural community. I think it obvious that continual-submission helps to schedule time but I would note that it also eliminates a stick for the more proactive members of a collaboration to beat the slaggards into line. As a guy who hits his deadlines for grant submission, it's probably in my interest to further lower the encouragements the lower-energy folks require.

According to a geologist familiar with reviewing these grants

The switch is “going to filter for the most highly motivated people, and the ideas for which you feel the most passion,” he predicts. When he sits on merit review panels, he finds that he can usually reject half of the proposals right away as being hasty or ill-considered. “My hope is that this has taken off the bottom 50%,” he says. “Those are the ones you read and say, ‘Did they have their heart in this?’”

Personally I see very few NIH grant proposals that appear to me to be "hasty or ill-considered" or cause me to doubt the PI has her heart in it. And you know how I feel about the proposition that the RealProblem with NIH grant success hinges on whether or not PIs refine and hone and polish their applications into some shining gem of a document. Applications are down so therefore success rates go up is the only thing we need to take away from this pilot, if you ask me. Any method by which you could decrease NIH applications would likewise seem to improve success rates.

Would it work for NIH types? I tend to doubt it. That program at NSF started with only two submission rounds per year. NIH has three rounds for funding per year, but this results from a multitude of deadlines including new R01, new R21/R03, two more for the revised apps, special ones for AIDS-related, RFAs and assorted other mechanisms. As I mentioned above, if you review for the NIH (including Advisory Council service) you get an extra extension to submit for a given decision round.

The pressure for most of us to hit any specific NIH deadline during the year is, I would argue, much lower at baseline. So if the theory is that NSF types were pressured to submit junky applications because their next opportunity was so far away....this doesn't apply to NIH folks.

6 responses so far

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