Archive for the 'Tribe of Science' category

Today's ponder

Dec 19 2016 Published by under NIH Careerism, Tribe of Science

Today's version of this was me pointing out that if you are on a "9 month appointment" of Salary X but every workplace expectation is that you will be doing University related work for 12 months, that in fact Salary X is your base 12-mo salary. The "9 month" thing is a dodge the Universities pull to turn your job into a contingency plan like selling cars.

If you sell a grant idea, you get to bonus your Salary X to the tune of those three extra summer months.

I'm sure there are a lot of fancy accounting reasons Universities pull this. There is certainly a whiff of distasteful "sing for your supper" in the underlying expectation that such Profs must acquire extramural funding to pay for themselves that I'm sure is being whisked aside with this dodge.

What I don't understand is why so many of the victims of such schemes are so amped to defend them and call me terrible for pointing this out.

Look, if there is genuinely a situation where your Professor career is a-okay from start to finish if you only work 9 months out of the year than sure. I buy it. This person's 9-month salary is plausibly a 9-month salary. I'm going to raise an eyebrow if they don't cut off your card key access and VPN over the summer but....okay, fine.

But, the second you have a situation where you are expected to work those extra three months on University related business in order to retain your job or to advance normally (see: tenure) then this is a base salary for a 12-month job.

33 responses so far


Dec 07 2016 Published by under Careerism, Tribe of Science

I recently attended a scientific meeting with which I've had an uncomfortable relationship for years. When I first heard about the topic domain and focus of this meeting as a trainee I was amazed. "This is just the right home for me and my interests in science", I thought. And, scientifically this was, and still is, the case.

I should love this meeting and this academic society.

This has not been the case, very likely because of the demographics of the society (guess) in addition to a few other....lets call them unusual academic society tics.

This year was a distinct improvement. It isn't here yet but I can see a youth wave about to crash into the shore. This swell of younger scientists (stretching from postdoc to nearly-tenured) looks more like modern science to me. Demographically, and on many dimensions.

This gives me hope for the future of this academic meeting.

19 responses so far

Creeping infantilization of scientists

Dec 05 2016 Published by under Careerism, Tribe of Science

I recently attended a scientific meeting during which it was made clear that their prize for young investigators had an age cutoff of 50 or younger.

Now the award was not literally titled "for Young Investigators" as so many are, but the context was clear. A guy who looks phenotypically like a solidly mid-career, even approaching-senior, was described as a "rising star" by the award presenter.

This is ridiculous.

It is more of this creeping infantilization of generations of scientists by the preceding one (Boomers) or two (preWar) generations. The generations who were Full Professors by age 40.

This is all of a part with grant reviews that wring hands over the "risk" of handing an R01 over to a 30 year old. Or a 38 year old.

I think we need to resist this.

Hold the line at 40 years of age on early-career or young-investigator awards. If your society is such that it only starts the awards at mid-career, make this clear. Call them "established stars" instead of "rising stars".

25 responses so far

Really, it's normal

Dec 01 2016 Published by under Careerism, Tribe of Science

It's okay. It's perfectly natural and healthy. Everyone does it, you know. I mean, it's not like anyone brags about it but they do it. Regularly. So go ahead and don't feel ashamed.
Continue Reading »

34 responses so far

Thought of the Day

Nov 16 2016 Published by under #FWDAOTI, Tribe of Science

If the information firehose and intellectual go-juice of a Society for Neuroscience week leaves you mentally exhausted, you don't actually work those 60 hours a week you claim to work. 

13 responses so far

How do you respond to not being cited where appropriate?

Oct 10 2016 Published by under Careerism, Grant Review, Peer Review, Tribe of Science

Have you ever been reading a scientific paper and thought "Gee, they really should have cited us here"?

Never, right?

Continue Reading »

25 responses so far

Professor fired for misconduct shoots Dean

From the NYT account of the shooting of Dennis Charney:

A former faculty member at the Mount Sinai School of Medicine... , Hengjun Chao, 49, of Tuckahoe, N.Y., was charged with attempted second-degree murder after he allegedly fired a shotgun and hit two men

why? Presumably revenge for :

In October 2002, Mr. Chao joined Mount Sinai as a research assistant professor. He stayed at Mount Sinai until May 2009, when he received a letter of termination from Dr. Charney for “research misconduct,” according to a lawsuit that Mr. Chao filed against the hospital and Dr. Charney, among other parties, in 2010. He went through an appeals process, and was officially terminated in March 2010.

As you might expect, the retraction watch blog has some more fascinating information on this case. One notable bit is the fact that ORI declined to pursue charges against Dr. Chao.

The Office of Research Integrity (ORI) decided not to pursue findings of research misconduct, according to material filed in the case and mentioned in a judge’s opinion on whether Chao could claim defamation by Mount Sinai. Part of Chao’s defamation claim was based on a letter from former ORI  investigator Alan Price calling Mount Sinai’s investigation report “inadequate, seriously flawed and grossly unfair in dealing with Dr. Chao.”

Interesting! The institution goes to the effort of firing the guy and manages to fight off a counter suit and ORI still doesn't have enough to go on? Retraction watch posted the report on the Mount Sinai misconduct investigation [PDF]. It makes the case a little more clear.

To briefly summarize: Dr. Chao first alleged that a postdoc, Dr. Cohn, fabricated research data. An investigation failed to support the charge and Dr. Chao withdrew his complaint. Perhaps (?) as part of that review, Dr. Cohn submitted an allegation that Dr. Chao had directed her to falsify data-this was supported by an email and a colleague third-party testimony. Mount Sinai mounted an investigation and interviewed a bunch of people with Dr. titles, some of whom are co-authors with Dr. Chao according to PubMed.

The case is said to hinge on credibility of the interviewees. "There was no 'smoking gun' direct evidence....the allegations..represent the classic 'he-said, she-said' dispute". The report notes that only the above mentioned email trail supports any of the allegations with hard evidence.

Ok, so that might be why ORI declined to pursue the case against Dr. Chao.

The panel found him to be "defensive, remarkably ignorant about the details of his protocol and the specifics of his raw data, and cavalier with his selective memory. ..he made several overbroad and speculative allegations of misconduct against Dr. Cohn without any substantiation"

One witness testified that Dr. Chao had said "[Dr. Cohn] is a young scientist [and] doesn't know how the experiments should come out, and I in my heart know how it should be."

This is kind of a classic sign of a PI who creates a lab culture that encourages data faking and fraud, if you ask me. Skip down to the end for more on this.

There are a number of other allegations of a specific nature. Dropping later timepoints of a study because they were counter to the hypothesis. Publishing data that dropped some of the mice for no apparent reason. Defending low-n (2!) data by saying he was never trained in statistics, but his postdoc mentor contradicted this claim. And finally, the committee decided that Dr. Chao's original complaint filed against Dr. Cohn was a retaliatory action stemming from an ongoing dispute over science, authorship, etc.

The final conclusion in the recommendations section deserves special attention:

"[Dr. Chao] promoted a laboratory culture of misconduct and authoritarianism by rewarding results consistent with his theories and berating his staff if the results were inconsistent with his expectations."

This, my friends, is the final frontier. Every time I see a lower-ling in a lab busted for serial faking, I wonder about this. Sure, any lab can be penetrated by a data faking sleaze. And it is very hard to both run a trusting collaborative scientific environment and still be 100 percent sure of preventing the committed scofflaws. But...but..... I am here to tell you. A lot of data fraud flows from PIs of just exactly this description.

If the PI does it right, their hands are entirely clean. Heck, in some cases they may have no idea whatsoever that they are encouraging their lab to fake data.

But the PI is still the one at fault.

I'd hope that every misconduct investigation against anyone below the PI level looks very hard into the culture that is encouraged and/or perpetrated by the PI of the lab in question.

28 responses so far

Thought of the Day

May 13 2016 Published by under Conduct of Science, Ponder, Tribe of Science

I think I have made incremental progress in understanding you all "complete story" muppets and in understanding the source of our disagreement.

There are broader arcs of stories in scientific investigation. On this I think we all agree.

We would like to read the entire arc. On this, I think, we all agree.

The critical difference is this.

Is your main motivation that you want to read that story and find out where it goes?

Or is your main motivation that you want to be the one to discover, create and/or tell that story, all by your lonesome, so you get as much credit for it as possible?

While certainly subject to scientific ego, I conclude that I lean much more toward wanting to know the story than you "complete story" people do.

Conversely, I conclude that you "shows mechanism", "complete story" people lean towards your own ego burnishing for participation in telling the story than you do towards wanting to know how it all turns out as quickly as possible.

35 responses so far

When reviewers can't relinquish their bone

Had an interesting category of thing happen on peer review of our work recently.

It was the species of reviewer objection where they know they can't lay a glove on you but they just can't stop themselves from asserting their disagreement. 

It was in several different contexts and the details differed. But the essence was the same. 

I'm just laughing.

I mean- why do we use language that identifies the weaknesses, limits or necessary caveats in our papers if it doesn't mean anything?

Saying "...and then there is this other possible interpretation" apparently enrages some reviewers that this possibility is not seen as a reason to prevent us from publishing the data. 

Pointing out that these papers over here support one view of accepted interpretations/practices/understanding can trigger outrage that you don't ignore those in favor of these other papers over there and their way of doing things. 

Identifying clearly and carefully why you made certain choices generates the most hilariously twisted "objective critiques" that really boil down to "Well I use these other models which are better for some reason I can't articulate."

Do you even scholarship, bro?

I mostly chuckle and move on, but these experiences do tie into Mike Eisen's current fevers about "publishing" manuscripts prior to peer review. So I do have sympathy for his position. It is annoying when such reviewer intransigence over non-universal interpretations is used to prevent publication of data. And it would sometimes be funny to have the "Your caveats aren't caveatty enough" discussion in public.

9 responses so far

Repost: If you are going to talk about "tiers", then you'd better own that

We have been talking about the scientific journal ecosphere in the context of Michael Eisen's push to get more biomedical scientists to use pre-print servers to publicize their work prior to publication in a traditional journal. This push, recently aided and abetted by Leslie Vosshall, exposes a deep divide in the understanding of the broad scope of science. It is my view that part of the reason the elite (both are HHMI funded investigators, eliteness gets no better in the US) have trouble understanding the points made by us riffraff is related to the fact they don't understand the following. The main issue is that the elite are working at the first tier level. Second tier is a function not of their science but of the competition for limited resources. Any farther down the chain and it is all the same to them - they really have no understanding of how life works for those who operate in the Tiers below.

This post originally appeared on the blog 11 Feb 2013.

SevenTierCakeOccasionally during the review of careers or grant applications you will see dismissive comments on the journals in which someone has published their work. This is not news to you. Terms like "low-impact journals" are wonderfully imprecise and yet deliciously mean. Yes, it reflects the fact that the reviewer himself couldn't be bothered to actually review the science IN those paper, nor to acquaint himself with the notorious skew of real world impact that exists within and across journals.

More hilarious to me is the use of the word "tier". As in "The work from the prior interval of support was mostly published in second tier journals...".

It is almost always second tier that is used.

But this is never correct in my experience.

If we're talking Impact Factor (and these people are, believe it) then there is a "first" tier of journals populated by Cell, Nature and Science.

In the Neurosciences, the next tier is a place (IF in the teens) in which Nature Neuroscience and Neuron dominate. No question. THIS is the "second tier".

A jump down to the IF 12 or so of PNAS most definitely represents a different "tier" if you are going to talk about meaningful differences/similarities in IF.

Then we step down to the circa IF 7-8 range populated by J Neuroscience, Neuropsychopharmacology and Biological Psychiatry. Demonstrably fourth tier.

So for the most part when people are talking about "second tier journals" they are probably down at the FIFTH tier- 4-6 IF in my estimation.

I also argue that the run of the mill society level journals extend below this fifth tier to a "the rest of the pack" zone in which there is a meaningful perception difference from the fifth tier. So.... Six tiers.

Then we have the paper-bagger dump journals. Demonstrably a seventh tier. (And seven is such a nice number isn't it?)

So there you have it. If you* are going to use "tier" to sneer at the journals in which someone publishes, for goodness sake do it right, will ya?

*Of course it is people** who publish frequently in the third and fourth tier and only rarely in second tier, that use "second tier journal" to refer to what is in the fifth or sixth tier of IFs. Always.

**For those rare few that publish extensively in the first tier, hey, you feel free to describe all the rest as "second tier". Go nuts.

11 responses so far

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