To Author or not to Author?

Today in Scientopia, I discuss the question of what to do if you provide information (e.g., data) to a colleague for a publication but you don't agree with the colleague's interpretations and conclusions.

From Proposal To Grant

In the good old days, this was a typical scenario for NSF grants, indicated by time (t) in months:

t = 0: proposal submitted on or before the proposal deadline. (I was just trying to remember if I have ever submitted a proposal before a deadline, and I don't think I have.)

t = 3.5-4: panel met, discussed mail reviews, ranked proposals

t = 4-4.5: program directors made decisions. Those PIs who were definitely funded and those who were definitely not funded got the news right away; those who might be funded waited a bit longer.

t = 5-6: proposals recommended for funding worked their way up through the system, but it didn't take long to get the final award letter and for the funds to be transferred to the university and for the university to assign the grant an ID number, making the grant active.

Back in those glorious days of yore, when filling in the cover page, I would indicate a preferred start date 6 months after the proposal due date, and this was quite reasonable. A new grant was typically good to go after t = 6 from time of proposal submission.

This was an excellent system because you knew that if your grant was funded, you could start paying a graduate student RA in the next academic term. This was very useful for making a quick start with the research, for trying to optimize correspondence of graduate students and grants, and for research planning in general (e.g., if you get/don't get a grant, this affects your plans for the next proposal deadline).

Now the system seems to be more like this:

t = 0: proposal submitted on or before the proposal deadline.

t = 3.5-4: panel meets, discusses mail reviews, ranks proposals

t = 4-8+: program director makes decisions, contacts PIs

t = 6-10+: proposals recommended for funding work their way up through the system, and eventually result in the formal award letter, which will be followed at some point by transfer of funds to the university.

And then.. there is another wait to get the university to assign a magic number to the grant so that it can be used. This delay is beyond the control of NSF, but it is one more delay on top of the other delays, making for a considerable gap in time from proposal submission to effective grant start date. I specify effective grant start date because now the start date indicated by NSF may be a couple of months before the university completes its paper work and recognizes the grant in its grants management system. The grant may technically exist for a while before the PI can use it.

It is sometimes possible to start using a grant that has been promised but that hasn't quite worked its way through the system to the final stage yet, but to do this you have to have a slush fund (not another NSF grant) as back-up.

Why has this all become more complicated and slow? Is it because budgets have been slashed and there are fewer staff handling more responsibilities? I have a hypothesis, but it actually involves the opposite of this explanation.

I know that there are all sorts of considerations involving oversight of every step of the system and oversight of the overseers and so on and this all takes time to make sure no one is doing anything unethical or illegal of unwise, but I wish we could go back to the 6 month proposal-to-grant time gap. Gaps that are considerably longer than that seriously interfere with a PI's ability to assemble an excellent research team and do exciting research in a timely way.

I am of course happy to get grants at all, so it might seem ungrateful to complain about a delay of a few months, but I have found that the delay has rather significantly affected my research program.

Token Help?

Today in Scientopia, I discuss a comment on yesterday's FSP post about tokenism: What can male colleagues do in situations like the one I described?

Kick Me

What a week.

This week, I participated in a meeting of a working group with which I have been associated for the past 6 years or so. I have devoted a lot of time to this particular service activity, and overall I have enjoyed the work. It can be frustrating when there are lots of deadlines all at once, but mostly I feel good about making a contribution in this particular way.

I am the only woman involved in this working group of Science Professors, and I have known all along that I was asked to join the group in part because I am female. This was (and is) fine with me because I think it is important that there be a woman in this group and because I am highly qualified for the work. It's not as if I am getting a *special award* for being a woman; I am contributing my time and efforts to a service activity, and I think what I am doing is important and worthwhile. The diversity issue is a positive aspect of this work, not something to be ashamed of.

So anyway, The Guys and I got together one day this week. We don't get together as a group all that often, but we had some things to discuss that were more efficient to deal with in a meeting than through endless e-mails or a conference call.

TWICE during the first half hour of the meeting, somewhat out of context, and completely gratuitously, one of The Guys mentioned that I was only part of this group because "they had to have a woman". He hastened to say that he was totally on board with this because he recognized the realities of the world today. Diversity has been deemed to be important -- although he noted that he has seen no evidence of the discrimination that some women in our field claim to experience -- so our group should be diverse.

He's a jerk, but I've been working well in this group for too long to feel humiliated.

I don't know what the younger man added to the working group in recent years (i.e., after me) thought of all this. Did it previously occur to him that I was a Diversity Addition to the group? Does he believe that he (unlike me) was invited to join us owing to his awesome skills? Do I really want to know the answer to that question? Should I re-read my own post from yesterday?

What did I do when my esteemed colleague made his "FSP is a token" comments? I calmly changed the subject to one more relevant to the meeting, made a point that no one else had thought of, got complimented (by someone else) for having noticed something that had long been overlooked by other members of the group, and basically just moved on with the tasks at hand. I am a useful member of this committee, and I will continue to contribute for as long as it is worthwhile for me to do so.

And yet, I did briefly wish that I could do something a bit more dramatic. I don't mean that I wanted to yell or slash my colleague's leather jacket, but something a bit symbolic might have conveyed my dismay at still being considered a Token after all these years of working with this group.

For example, what if I had a special Token Hat with pink ribbons and flowers? I could bring it with me and keep it in my briefcase purse until I needed it. Then, when the occasion arose, I could put my hat on and go sit quietly in the corner, except when one of the guys said something they thought was brilliant, and then I could sigh and say "Oh Bob, you are so smart". And when one of them made a little joke -- like when Professor Not-A-Token made a joke about all the lame people who read and write blogs, which he never reads (good!) -- I could be sure to laugh in an appreciative and admiring way.

But mostly of course I would be very quiet. That way, I could be in the group, the group could get its diversity creds, but the guys wouldn't actually have to listen to me. Wouldn't that be better?

Overheard in Science

It seems that I have been eavesdropping a lot lately, but here is something I heard today:

"All the speakers were male, so there was no possibility of anyone having been included just for diversity reasons."

That's so good to know. I hate it when there are token women in a session and you have to wonder what they are doing there because there is the added complexity of having to figure out if they were invited because they have interesting things to say or whether the session had to include at least one woman. Everything is much more straightforward when it's just a bunch of deserving guys who were invited because they are all brilliant and articulate.

A Bit Much

Not long ago, while availing myself of a mode of Public Transportation, I overhead a conversation involving three grad students: two women, one man. They were discussing a recent conference they had been to in their field of Science. When I tuned in, one of them had just mentioned an FSP who had attended the conference with an infant. The FSP had brought the sleeping infant to talks in some sort of snugli carrier. Their conversation went something like this:

The male grad student (MGS) said "I thought that was a bit much, that she had her baby with her at the conference."

One of the female grad students asked him: "Too much for what?"

MGS: Well, she had that baby with her all the time, and it just seemed like a bit much.

Other FGS: You mean, it was a bit much for you? Did it bother you?

MGS: No.. no, of course not. No.. it didn't bother me. I just thought that it was kind of a lot of Science for the baby. It was a lot of Science to take in.

FGS 1: Umm, the baby was not taking in any Science. The baby was asleep during the talks. I think it bothered you to see a baby at the conference. I think we need to figure out why it bothered you. Do you think women with babies should just stay home and not go to conferences?

MGS: No, it's fine with me, really, it was just weird.

FGS 2: Well, get used to it.

Yeah, get used to it. I suppose it can be strange to see a rather personal side of someone in a professional setting, but as long as the infant is sleeping through the talk, just like 34% of the audience is or wants to be doing, it shouldn't punch a hole in anyone's conference experience if someone in the audience is strapped to a sleeping baby.

I was impressed that the two FSGs were very polite and friendly, yet relentless in their effort to convince the MSG that he needed to rethink his views on babies (and their mothers) at conferences. Maybe next time he sees an infant at a conference, he won't think it is so strange. And then some day he may find himself at a conference, with an infant strapped to his chest, trying to figure out which conference sessions will correspond to naps and which will not.

Left With A Masters

Recently, I was rummaging through some databases involving doctoral completion rates in different fields of Science and Engineering. Specifically, I was looking at doctoral completion rates for male and female students. Of course I know that graduate school is part of the "leaky pipeline" for women scientists in academia, but I'd always assumed that women choosing to do an MS and not continuing on for a PhD was a much more significant "leak" than female PhD students leaving a doctoral program with an MS.

It is likely more significant, but I was surprised at some of the data showing the % of women doctoral students who "leave with an MS". In fact, for some programs, most of the women who start a doctoral program leave with an MS. The fact that they started a doctoral program indicates that these women were at some point interested in doing PhD-level research.

The usual explanations for leaks at this stage invoke the fact that graduate studies fall at a critical time for many young women because of the stresses and choices involving work and family. This may well be a good explanation for much of the "leaving with an MS" phenomenon, but it's too general to allow advisors, departments, and institutions to understand the data and determine what, if any, changes should be made.

From these data, we don't know how many of these women:

1. left and did a PhD elsewhere;
2. switched to the MS voluntarily because it was a better fit for their career goals;
3. switched to the MS involuntarily owing to (a) life or work pressures, or (b) an academic problem (exams, classes, advisors).

Explanation #1 does not involve a pipeline leak; it's just appears to be one for any particular institution.

Explanation #2 is technically a leak, but if these MS graduates continue on with a career relevant to their graduate studies (because that's what they want to do), it's not a tragic leak. Overall, it's not good that there are so few women faculty in physical sciences, engineering, and math at research universities, but each individual woman needs to make the best decision for herself in the context of life and career issues.

Explanation #3 is more problematic, but the databases provide no insight into how many women are given an MS "consolation prize" after failing a PhD preliminary exam (and whether more women than men fail these exams) and how many women leave doctoral program with an MS because they can't (or don't think they can) get a PhD and start a family at the same time. A sub-category of the latter is of the "there could only be one PhD in the family, so we decided it should be Robert" sort.

To the extent that the "left with an MS" situation is a problem that needs solving, it's likely that it can only be solved at a very large scale (i.e., by changes in society and academia as a whole). Even so, what I want to know is: What, if anything, can individual faculty and departments and universities do?

At this point, with the tools at hand, we can at least do exit surveys in each department to find out why doctoral students leave with an MS (voluntarily or involuntarily), and, based on results:

- address any issues that relate to a discrepancy in how female graduate students are evaluated and advised, or

- use these data as a basis for instituting family-friendly policies that alleviate some of the problems that disproportionately affect female graduate students (keeping in mind that these policies need to minimize harm to advisors and research groups as well, or the policies are unlikely to be as effective as they could be for all concerned).

I am sure some (many?) departments do this type of evaluation already, and I'd be curious to know if the results have led to any structural changes in graduate programs, and if these changes had any effect on doctoral completion rates.