Standing with DNLee and “discovering science”.

This post is about standing with DNLee and discovering science.

In the event that you haven’t been following the situation as it exploded on Twitter, here is the short version:

DNLee was invited to guest-blog at another site. She inquired as to the terms, then politely declined. The editor then soliciting those guest-posts called her a whore.

DNLee posted on this exchange, which provides some insight into the dynamics of writing about science (and about being a woman of color writing about science) in the changing media landscape on her blog.

And then someone here at Scientific American Blogs took her post down without letting her know they were doing it or telling her why.

Today, by way of explanation, Scientific American Editor in Chief Mariette DiChristina tweeted:

Re blog inquiry: @sciam is a publication for discovering science. The post was not appropriate for this area & was therefore removed.

Let the record reflect that this is the very first time I have heard about this editorial filter, or that any of my posts that do not fall in the category of “discovering science” could be pulled down by editors.

As well, it’s hard to see how what DNLee posted counts as NOT “discovering science” unless “discovering science” is given such a narrow interpretation that this entire blog runs afoul of the standard.

Of course, I’d argue that “discovering science” in any meaningful way requires discovering that scientific knowledge is the result of human labor.

Scientific knowledge doesn’t wash up on a beach, fully formed. Embodied, quirky human beings build it. The experiences of those human beings as they interact with the world and with each other are a tremendously important part of where scientific knowledge comes from. The experiences of human beings interacting with each other as they try to communicate scientific knowledge are a crucial part of where scientific understanding comes from — and of who feels like understanding science is important, who feels like it’s inviting and fun, who feels like it’s just not for them.

Women’s experiences around building scientific knowledge, communicating scientific knowledge, participating in communities and networks that can support scientific engagements, are not separable from “discovering science”. Neither are the experiences of people of color, nor of other people not yet well represented in the communities of scientists or scientific communicators.

Unless Scientific American is really just concerned with helping the people who already feel like science is for them to “discover science”. And if that’s the situation, they really should have told us bloggers that before they signed us up.

“Discovering science” means discovering all sorts of complexities — including unpleasant ones — about the social contexts in which science is done, in which scientists are trained, in which real live human beings labor to explain bits of what we know about the world and how we came to know those bits and why they matter.

If Scientific American doesn’t want its bloggers delving into those complexities, then they don’t want me.

See also:

Dr. Isis
Kate Clancy
Dana Hunter
Anne Jefferson
Sean Carroll
Stephanie Zvan
David Wescott
Kelly Hills

The danger of pointing out bad behavior: retribution (and the community’s role in preventing it).

There has been a lot of discussion of Dario Maestripieri’s disappointment at the unattractiveness of his female colleagues in the neuroscience community. Indeed, it’s notable how much of this discussion has been in public channels, not just private emails or conversations conducted with sound waves which then dissipate into the aether. No doubt, this is related to Maestripieri’s decision to share his hot-or-not assessment of the women in his profession in a semi-public space where it could achieve more permanence — and amplification — than it would have as an utterance at the hotel bar.

His behavior became something that any member of his scientific community with an internet connection (and a whole lot of people outside his scientific community) could inspect. The impacts of an actual, rather than hypothetical, piece of behavior, could be brought into the conversation about the climate of professional and learning communities, especially for the members of these communities who are women.

It’s worth pointing out that there is nothing especially surprising about such sexist behavior* within these communities. The people in the communities who have been paying attention have seen them before (and besides have good empirical grounds for expecting that gender biases may be a problem). But many sexist behaviors go unreported and unremarked, sometimes because of the very real fear of retribution.

What kind of retribution could there be for pointing out a piece of behavior that has sexist effects, or arguing that it is an inappropriate way for a member of the professional community to behave?

Let’s say you are an early career scientist, applying for a faculty post. As it happens, Dario Maestripieri‘s department, the University of Chicago Department of Comparative Human Development, currently has an open search for a tenure-track assistant professor. There is a non-zero chance that Dario Maestripieri is a faculty member on that search committee, or that he has the ear of a colleague that is.

It is not a tremendous stretch to hypothesize that Dario Maestripieri may not be thrilled at the public criticism he’s gotten in response to his Facebook post (including some quite close to home). Possibly he’s looking through the throngs of his Facebook friends and trying to guess which of them is the one who took the screenshot of his ill advised post and shared it more widely. Or looking through his Facebook friends’ Facebook friends. Or considering which early career neuroscientists might be in-real-life friends or associates with his Facebook friends or their Facebook friends.

Now suppose you’re applying for that faculty position in his department and you happen to be one of his Facebook friends,** or one of their Facebook friends, or one of the in-real-life friends of either of those.

Of course, shooting down an applicant for a faculty position for the explicit reason that you think he or she may have cast unwanted attention on your behavior towards your professional community would be a problem. But there are probably enough applicants for the position, enough variation in the details of their CVs, and enough subjective judgment on the part of the members of the search committee in evaluating all those materials that it would be possible to cut all applicants who are Dario Maestripieri’s Facebook friends (or their Facebook friends, or in-real-life friends of either of those) from consideration while providing some other plausible reason for their elimination. Indeed, the circle could be broadened to eliminate candidates with letters of recommendation from Dario Maestripieri’s Facebook friends (or their Facebook friends, or in-real-life friends of either of those), candidates who have coauthored papers with Dario Maestripieri’s Facebook friends (or their Facebook friends, or in-real-life friends of either of those), etc.)

And, since candidates who don’t get the job generally aren’t told why they were found wanting — only that some other candidate was judged to be better — these other plausible reasons for shooting down a candidate would only even matter in the discussions of the search committee.

In other words, real retaliation (rejection from consideration for a faculty job) could fall on people who are merely suspected of sharing information that led to Dario Maestripieri becoming the focus of a public discussion of sexist behavior — not just on the people who have publicly spoken about his behavior. And, the retaliation would be practically impossible to prove.

If you don’t think this kind of possibility has a chilling effect on the willingness of members of a professional community to speak up when they see a relatively powerful colleague behave in they think is harmful, you just don’t understand power dynamics.

And even if Dario Maestripieri has no part at all in his department’s ongoing faculty search, there are other interactions within his professional community in which his suspicions about who might have exposed his behavior could come into play. Senior scientists are routinely asked to referee papers submitted to scientific journals and to serve on panels and study sections that rank applications for grants. In some of these circumstances, the identities of the scientists one is judging (e.g., for grants) are known to the scientists making the evaluations. In others, they are masked, but the scientists making the evaluations have hunches about whose work they are evaluating. If those hunches are mingled with hunches about who could have shared evidence of behavior that is now making the evaluator’s life difficult, it’s hard to imagine the grant applicant or the manuscript author getting a completely fair shake.

Let’s pause here to note that the attitude Dario Maestripieri’s Facebook posting reveals, that it’s appropriate to evaluate women in the field on their physical beauty rather than their scientific achievements, could itself be a source of bias as he does things that are part of a normal professional life, like serving on search committees, reviewing journal submissions and grant applications, evaluating students, and so forth. A bias like this could manifest itself in a preference for hiring job candidates one finds aesthetically pleasing. (Sure, academic job application packets usually don’t include a headshot, but even senior scientists have probably heard of Google Image search.) Or it could manifest itself in a preference against hiring more women (since too high a concentration of female colleagues might be perceived as increasing the likelihood that one would be taken to task for freely expressing one’s aesthetic preferences about women in the field). Again, it would be extraordinarily hard to prove the operation of such a bias in any particular case — but that doesn’t rule out the possibility that it is having an effect in activities where members of the professional community are supposed to be as objective as possible.

Objectivity, as we’ve noted before, is hard.

We should remember, though, that faculty searches are conducted by committees, rather than by a single individual with the power to make all the decisions. And, the University of Chicago Department of Comparative Human Development (as well as the University of Chicago more generally) may recognize that it is likely to be getting more public scrutiny as a result of the public scrutiny Dario Maestripieri has been getting.

Among other things, this means that the department and the university have a real interest in conducting a squeaky-clean search that avoids even the appearance of retaliation. In any search, members of the search committee have a responsibility to identify, disclose, and manage their own biases. In this search, discharging that responsibility is even more vital. In any search, members of the hiring department have a responsibility to discuss their shared needs and interests, and how these should inform the selection of the new faculty member. In this search, that discussion of needs and interests must include a discussion of the climate within the department and the larger scientific community — what it is now, and what members of the department think it should be.

In any search, members of the hiring department have an interest in sharing their opinions on who the best candidate might be, and to having a dialogue around the disagreements. In this search, if it turns out one of the disagreements about a candidate comes down to “I suspect he may have been involved in exposing my Facebook post and making me feel bad,” well, arguably there’s a responsibility to have a discussion about that.

Ask academics what it’s like to hire a colleague and it’s not uncommon to hear them describe the experience as akin to entering a marriage. You’re looking for someone with whom you might spend the next 30 years, someone who will grow with you, who will become an integral part of your department and its culture, even to the point of helping that departmental culture grow and change. This is a good reason not to choose the new hire based on the most superficial assessment of what each candidate might bring to the relationship — and to recognize that helping one faculty member avoid discomfort might not be the most important thing.

Indeed, Dario Maestripieri’s colleagues may have all kinds of reasons to engage him in uncomfortable discussions about his behavior that have nothing to do with conducting a squeaky-clean faculty search. Their reputations are intertwined, and leaving things alone rather than challenging Dario Maestripieri’s behavior may impact their own ability to attract graduate students or maintain the respect of undergraduates. These are things that matter to academic scientists — which means that Dario Maestripieri’s colleagues have an interest in pushing back for their own good and the good of the community.

The pushback, if it happens, is likely to be just as invisible publicly as any retaliation against job candidates for possibly sharing the screenshot of Dario Maestripieri’s Facebook posting. If positive effects are visible, it might make it seem less dangerous for members of the professional community to speak up about bad behavior when they see it. But if the outward appearance is that nothing has changed for Dario Maestripieri and his department, expect that there will be plenty of bad behavior that is not discussed in public because the career costs of doing so are just too high.

______
* This is not at all an issue about whether Dario Maestripieri is a sexist. This is an issue about the effects of the behavior, which have a disproportionate negative impact on women in the community. I do not know, or care, what is in the heart of the person who displays these behaviors, and it is not at all relevant to a discussion of how the behaviors affect the community.

** Given the number of his Facebook friends and their range of ages, career stages, etc., this doesn’t strike me as improbable. (At last check, I have 11 Facebook friends in common with Dario Maestripieri.)

Reading the writing on the (Facebook) wall: a community responds to Dario Maestripieri.

Imagine an academic scientist goes to a big professional meeting in his field. For whatever reason, he then decides to share the following “impression” of that meeting with his Facebook friends:

My impression of the Conference of the Society for Neuroscience in New Orleans. There are thousands of people at the conference and an unusually high concentration of unattractive women. The super model types are completely absent. What is going on? Are unattractive women particularly attracted to neuroscience? Are beautiful women particularly uninterested in the brain? No offense to anyone..

Maybe this is a lapse in judgment, but it’s no big thing, right?

I would venture, from the selection of links collected below discussing Dario Maestripieri and his recent social media foible, this is very much A Thing. Read on to get a sense of how the discussion is unfolding within the scientific community and the higher education community:

Drugmonkey, SfN 2012: Professors behaving badly:

There is a very simple response here. Don’t do this. It’s sexist, juvenile, offensive and stupid. For a senior scientist it is yet another contribution to the othering of women in science. In his lab, in his subfield, in his University and in his academic societies. We should not tolerate this crap.

Professor Maestripieri needs to apologize for this in a very public way and take responsibility for his actions. You know, not with a nonpology of “I’m sorry you were offended” but with an “I shouldn’t have done that” type of response.

Me, at Adventures in Ethics and Science, The point of calling out bad behavior:

It’s almost like people have something invested in denying the existence of gender bias among scientists, the phenomenon of a chilly climate in scientific professions, or even the possibility that Dario Maestripieri’s Facebook post was maybe not the first observable piece of sexism a working scientist put out there for the world to see.

The thing is, that denial is also the denial of the actual lived experience of a hell of a lot of women in science

Isis the Scientist, at On Becoming a Domestic and Laboratory Goddess, What We Learn When Professorly d00ds Take to Facebook:

Dr. Maestripieri’s comments will certainly come as no great shock to the women who read them.  That’s because those of us who have been around the conference scene for a while know that this is pretty par for the course.  There’s not just sekrit, hidden sexism in academia.  A lot of it is pretty overt.  And many of us know about the pockets of perv-fest that can occur at scientific meetings.  We know which events to generally avoid.  Many of us know who to not have cocktails with or be alone with, who the ass grabbers are, and we share our lists with other female colleagues.  We know to look out for the more junior women scientists who travel with us.  I am in no way shocked that Dr. Maestripieri would be so brazen as to post his thoughts on Facebook because I know that there are some who wouldn’t hesistate to say the same sorts of things aloud. …

The real question is whether the ability to evaluate Dr. Maestripieri’s asshattery in all of its screenshot-captured glory will actually actually change hearts and minds.

Erin Gloria Ryan at Jezebel, University of Chicago Professor Very Disappointed that Female Neuroscientists Aren’t Sexier:

Professor Maestripieri is a multiple-award winning academic working at the University of Chicago, which basically means he is Nerd Royalty. And, judging by his impressive resume, which includes a Ph.D in Psychobiology, the 2000 American Psychological Association Distinguished Scientific Award for Early Career Contribution to Psychology, and several committees at the U of C, he’s well aware of how hard someone in his position has had to work in order to rise to the top of an extremely competitive and demanding field. So it’s confusing to me that he would fail to grasp the fact that women in his field had to perform similar work and exhibit similar levels of dedication that he did.

Women: also people! Just like men, but with different genitals!

Cory Doctorow at BoingBoing, Why casual sexism in science matters:

I’ve got a daughter who, at four and a half, wants to be a scientist. Every time she says this, it makes me swell up with so much pride, I almost bust. If she grows up to be a scientist, I want her to be judged on the reproducibility of her results, the elegance of her experimental design, and the insight in her hypotheses, not on her ability to live up to someone’s douchey standard of “super model” looks.

(Also, do check out the conversation in the comments; it’s very smart and very funny.)

Scott Jaschik at Inside Higher Education, (Mis)Judging Female Scientists:

Pity the attendees at last week’s annual meeting of the Society for Neuroscience who thought they needed to focus on their papers and the research breakthroughs being discussed. It turns out they were also being judged — at least by one prominent scientist — on their looks. At least the female attendees were. …

Maestripieri did not respond to e-mail messages or phone calls over the past two days. A spokesman for the University of Chicago said that he had decided not to comment.

Pat Campbell at Fairer Science, No offense to anyone:

I’m glad the story hit Inside Higher Ed; I find it really telling that only women are quoted … Inside Higher Ed makes this a woman’s problem not a science problem and that is a much more important issue than Dario Maestripieri’s stupid comments.

Beryl Benderly at the Science Careers Blog, A Facebook Furor:

There’s another unpleasant implication embedded in Maestripieri’s post. He apparently assumed that some of his Facebook readers would find his observations interesting or amusing. This indicates that, in at least some circles, women scientists are still not evaluated on their work but rather on qualities irrelevant to their science. …

[T]he point of the story is not one faculty member’s egregious slip.  It is the apparently more widespread attitudes that this slip reveals

Dana Smith at Brain Study, More sexism in science:

However, others still think his behavior was acceptable, writing it off as a joke and telling people to not take it so seriously. This is particularly problematic given the underlying gender bias we know to still exist in science. If we accept overt and covert discrimination against women in science we all lose out, not just women who are dissuaded from the field because of it, but also everyone who might have benefited from their future work.

Minerva Cheevy at Research Centered (Chronicle of Higher Education Blog Network), Where’s the use of looking nice?:

There’s just no winning for women in academia – if you’re unattractive, then you’re a bad female. But if you’re attractive, you’re a bad academic.

The Maroon Editorial Board at The Chicago Maroon, Changing the conversation:

[T]his incident offers the University community an opportunity to reexamine our culture of “self-deprecation”—especially in relation to the physical attractiveness of students—and how that culture can condone assumptions which are just as baseless and offensive. …

Associating the depth of intellectual interests with a perceived lack of physical beauty fosters a culture of permissiveness towards derogatory comments. Negative remarks about peers’ appearances make blanket statements about their social lives and demeanors more acceptable. Though recently the popular sentiment among students is that the U of C gets more attractive the further away it gets from its last Uncommon App class, such comments stem from the same type of confused associations—that “normal” is “attractive” and that “weird” is not. It’s about time that we distance ourselves from these kinds of normative assumptions. While not as outrageous as Maestripieri’s comments, the belief that intelligence should be related to any other trait—be it attractiveness, normalcy, or social skills—is just as unproductive and illogical.

It’s quite possible that I’ve missed other good discussions of this situation and its broader implications. If so, please feel free to share links to them in the comments.

Dueling narratives: what’s the job market like for scientists and is a Ph.D. worth it?

At the very end of August, Slate posted an essay by Daniel Lametti taking up, yet again, what the value of a science Ph.D. is in a world where the pool of careers for science Ph.D.s in academia and industry is (maybe) shrinking. Lametti, who is finishing up a Ph.D. in neuroscience, expresses optimism that the outlook is not so bleak, reading the tea leaves of some of the available survey data to conclude that unemployment is not much of a problem for science Ph.D.s. Moreover, he points to the rewards of the learning that happens in a Ph.D. program as something that might be values in its own right rather than as a mere instrument to make a living later. (This latter argument will no doubt sound familiar.)

Of course, Chemjobber had to rain on the parade of this youthful optimism. (In the blogging biz, we call that “due diligence”.) Chemjobber critiques Lametti’s reading of the survey data (and points out some important limitations with those data), questions his assertion that a science Ph.D. is a sterling credential to get you into all manner of non-laboratory jobs, reiterates that the opportunity costs of spending years in a Ph.D. program are non-neglible, and reminds us that unemployed Ph.D. scientists do exist.

Beryl Benderly mounts similar challenges to Lametti’s take on the job market at the Science Careers blog.

You’ve seen this disagreement before. And, I reckon, you’re likely to see it again.

But this time, I feel like I’m starting to notice what may be driving these dueling narratives about how things are for science Ph.D.s. It’s not just an inability to pin down the facts about the job markets, or the employment trajectories of those science Ph.D.s. In the end, it’s not even a deep disagreement about what may be valuable in economic or non-economic ways about the training one receives in a science Ph.D. program.

Where one narrative focuses on the overall trends within STEM fields, the other focuses on individual experiences. And, it strikes me that part of what drives the dueling narratives is what feels like a tension between voicing an individual view it may be helpful to adopt for one’s own well-being and acknowledging the existence of systemic forces that tend to create unhelpful outcomes.

Of course, part of the problem in these discussions may be that we humans have a hard time generally reconciling overall trends with individual experiences. Even if it were a true fact that the employment outlook was very, very good for people in your field with Ph.D.s, if you have one of those Ph.D.s and you can’t find a job with it, the employment situation is not good for you. Similarly, if you’re a person who can find happiness (or at least satisfaction) in pretty much whatever situation you’re thrown into, a generally grim job market in your field may not big you very much.

But I think the narratives keep missing each other because of something other than not being able to reconcile the pooled labor data with our own anecdata. I think, at their core, the two narratives are trying to do different things.

* * *

I’ve written before about some of what I found valuable in my chemistry Ph.D. program, including the opportunity to learn how scientific knowledge is made by actually making some. That’s not to say that the experience is without its challenges, and it’s hard for me to imagine taking on those challenges without a burning curiosity, a drive to go deeper than sitting in a classroom and learning the science that others have built.

It can feel a bit like a calling — like what I imagine people learning how to be artists or musicians must feel. And, if you come to this calling in a time where you know the job prospects at the other end are anything but certain, you pretty much have to do the gut-check that I imagine artists and musicians do, too:

Am I brave enough to try this, even though I know there’s a non-negligible chance that I won’t be able to make a career out of it? Is it worth it to devote these years of toil and study, with long hours and low salary, to immersing myself in this world, even knowing I might not get to stay in it?

A couple quick caveats here: I suspect it’s much easier to play music or make art “on the side” after you get home from the job that pays for your food but doesn’t feed your soul than it is to do science on the side. (Maybe this points to the need for community science workspaces?) And, it’s by no means clear that those embarking on Ph.D. training in a scientific field are generally presented with realistic expectations about the job market for Ph.D.s in their field.

Despite the fact that my undergraduate professors talked up a supposed shortage of Ph.D. chemists (one that was not reflected in the labor statistics less than a year later), I somehow came to my own Ph.D. training with the attitude that it was an open question whether I’d be able to get a job as a chemist in academia or industry or a national lab. I knew I was going to leave my graduate program with a Ph.D., and I knew I was going to work.

The rent needed to be paid, and I was well acclimated to a diet that alternated between lentils and ramen noodles, so I didn’t see myself holding out for a dream job with a really high salary and luxe benefits. A career was something I wanted, but the more pressing need was a paycheck.

Verily, by the time I completed my chemistry Ph.D., this was a very pressing need. It’s true that students in a chemistry Ph.D. program are “paid to go to school,” but we weren’t paid much. I kept my head, and credit card balance, mostly above water by being a cyclist rather than a driver, saving money for registration, insurance, parking permits, and gas that my car-owning classmates had to pay. But it took two veterinary emergencies, one knee surgery, and ultimately the binding and microfilming fee I had to pay when I submitted the final version of my dissertation to completely wipe out my savings.

I was ready to teach remedial arithmetic at a local business college for $12 an hour (and significantly less than 40 hours a week) if it came to that. Ph.D. chemist or not, I needed to pay the bills.

Ultimately, I did line up a postdoctoral position, though I didn’t end up taking it because I had my epiphany about needing to become a philosopher. When I was hunting for postdocs, though, I knew that there was still no guarantee of a tenure track job, or a gig at a national lab, or a job in industry at the end of the postdoc. I knew plenty of postdocs who were still struggling to find a permanent job. Even before my philosophy epiphany, I was thinking through other jobs I was probably qualified to do that I wouldn’t hate — because I kind of assumed it would be hard, and that the economy wouldn’t feel like it owed me anything, and that I might be lucky, but I also might not be. Seeing lots of really good people have really bad luck on the job market can do that to a person.

My individual take on the situation had everything to do with keeping me from losing it. It’s healthy to be able to recognize that bad luck is not the same as the universe (or even your chosen professional community) rendering the judgment that you suck. It’s healthy to be able to weather the bad luck rather than be crushed by it.

But, it’s probably also healthy to recognize when there may be systemic forces making it a lot harder than it needs to be to join a professional community for the long haul.

* * *

Indeed, the discussion of the community-level issues in scientific fields is frequently much less optimistic than the individual-level pep-talks people give themselves or each other.

What can you say about a profession that asks people who want to join it to sink as much as a decade into graduate school, and maybe another decade into postdoctoral positions (jobs defined as not permanent) just to meet the training prerequisite for desirable permanent jobs that may not exist in sufficient numbers to accommodate all the people who sacrificed maybe two decades at relatively low salaries for their level of education, who likely had to uproot and change their geographical location at least once, and who succeeded at the research tasks they were asked to take on during that training? And what can you say about that profession when the people asked to embark on this gamble aren’t given anything like a realistic estimate of their likelihood of success?

Much of what people do say frames this as a problem of supply and demand. There are just too many qualified candidates for the available positions, at least from the point of view of the candidates. From the point of view of a hiring department or corporation, the excess of available workers may seem like less of a problem, driving wages downward and making it easier to sell job candidates on positions in “geographically unattractive” locations.

Things might get better for the job seeker with a Ph.D. if the supply of science Ph.D.s were adjusted downward, but this would disrupt another labor pool, graduate students working to generate data for PIs in their graduate labs. Given the “productivity” expectations on those PIs, imposed by institutions and granting agencies, reducing student throughput in Ph.D. programs is likely to make things harder for those lucky enough to have secured tenure track positions in the first place.

The narrative about the community-level issues takes on a different tone depending on who’s telling it, and with which end of the power gradient they identify. Do Ph.D. programs depend on presenting a misleading picture of job prospects and quality of life for Ph.D. holders to create the big pools of student labor on which they depend? Do PIs and administrators running training programs encourage the (mistaken) belief that the academic job market is a perfect meritocracy, and that each new Ph.D.’s failure will be seen as hers alone? Are graduate students themselves to blame for not considering the employment data before embarking on their Ph.D. programs? Are they being spoiled brats when they should recognize that their unemployment numbers are much, much lower than for the population as a whole, that most employed people have nothing like tenure to protect their jobs, and indeed that most people don’t have jobs that have anything to do with their passions?

So the wrangling continues over whether things are generally good or generally bad for Ph.D. scientists, over whether the right basis for evaluating this is the life Ph.D. programs promise when they recruit students (which maybe they are only promising to the very best — or the very lucky) or the life most people (including large numbers of people who never finished college, or high school) can expect, over whether this is a problem that ought to be addressed or simply how things are.

* * *

The narratives here feel like they’re in conflict because they’re meant to do different things.

The individual-level narrative is intended to buoy the spirits of the student facing adversity, to find some glimmers of victory that can’t be taken away even by a grim employment market. It treats the background conditions as fixed, or at least as something the individual cannot change; what she can control is her reaction to them.

It’s pretty much the Iliad, but with lab coats.

The community-level narrative instead strives for a more accurate accounting of what all the individual trajectories add up to, focusing not on who has experienced personal growth but on who is employed. Here too, there is a striking assumption that The Way Things Are is a stable feature of the system, not something individual action could change — or that individual members of the community should feel any responsibility for changing.

And this is where I think there’s a need for another narrative, one with the potential to move us beyond the disagreement and disgruntlement we see each time the other two collide.

Professional communities, after all, are made up of individuals. People, not the economy, make hiring decisions. Members of professional communities make decisions about how they’re going to treat each other, and in particular about how they will treat the most vulnerable members of their community.

Graduate students are not receiving a mere service or commodity from their Ph.D. programs (“Would you like to supersize that scientific education?”). They are entering a relationship resembling an apprenticeship with the members of the professional community they’re trying to join. Arguably, this relationship means that the professional community has some responsibility for the ongoing well-being of those new Ph.D.s.

Here, I don’t think this is a responsibility to infantilize new Ph.D.s, to cover them with bubble-wrap or to create for them a sparkly artificial economy full of rainbows and unicorns. But they probably have a duty to provide help when they can.

Maybe this help would come in the form of showing compassion, rather than claiming that the people who deserve to be scientists will survive the rigors of the job market and that those who don’t weren’t meant to be in science. Maybe it would come by examining one’s own involvement in a system that defines success too narrowly, or that treats Ph.D. students as a consumable resource, or that fails to help those students cultivate a broad enough set of skills to ensure that they can find some gainful employment. Maybe it would come from professional communities finding ways to include as real members people they have trained but who have not been able to find employment in that profession.

Individuals make the communities. The aggregate of the decisions the communities make create the economic conditions and the quality of life issues. Treating current conditions — including current ways of recruiting students or describing the careers and lives they ought to expect at the other end of their training — as fixed for all time it a way of ignoring how individuals and institutions are responsible for those conditions. And, it doesn’t do anything to help change them.

It’s useful to have discussions of how to navigate the waters of The Way Things Are. It’s also useful to try to get accurate data about the topology of those waters. But these discussions shouldn’t distract us from serious discussions of The Way Things Could Be — and of how scientific communities can get there from here.

Who matters (or should) when scientists engage in ethical decision-making?

One of the courses I teach regularly at my university is “Ethics in Science,” a course that explores (among other things) what’s involved in being a good scientist in one’s interactions with the phenomena about which one is building knowledge, in one’s interactions with other scientists, and in one’s interactions with the rest of the world.

Some bits of this are pretty straightforward (e.g., don’t make up data out of whole cloth, don’t smash your competitor’s lab apparatus, don’t use your mad science skillz to engage in a campaign of super-villainy that brings Gotham City to its knees). But, there are other instances where what a scientist should or should not do is less straightforward. This is why we spend significant time and effort talking about — and practicing — ethical decision-making (working with a strategy drawn from Muriel J. Bebeau, “Developing a Well-Reasoned Response to a Moral Problem in Scientific Research”). Here’s how I described the basic approach in a post of yore:

Ethical decision-making involves more than having the right gut-feeling and acting on it. Rather, when done right, it involves moving past your gut-feeling to see who else has a stake in what you do (or don’t do); what consequences, good or bad, might flow from the various courses of action available to you; to whom you have obligations that will be satisfied or ignored by your action; and how the relevant obligations and interests pull you in different directions as you try to make the best decision. Sometimes it’s helpful to think of the competing obligations and interests as vectors, since they come with both directions and magnitudes — which is to say, in some cases where they may be pulling you in opposite directions, it’s still obvious which way you should go because the magnitude of one of the obligations is so much bigger than of the others.

We practice this basic strategy by using it to look at a lot of case studies. Basically, the cases describe a situation where the protagonist is trying to figure out what to do, giving you a bunch of details that seem salient to the protagonist and leaving some interesting gaps where the protagonist maybe doesn’t have some crucial information, or hasn’t looked for it, or hasn’t thought to look for it. Then we look at the interested parties, the potential consequences, the protagonist’s obligations, and the big conflicts between obligations and interests to try to work out what we think the protagonist should do.

Recently, one of my students objected to how we approach these cases.

Specifically, the student argued that we should radically restrict our consideration of interested parties — probably to no more than the actual people identified by name in the case study. Considering the interests of a university department, or of a federal funder, or of the scientific community, the student asserted, made the protagonist responsible to so many entities that the explicit information in the case study was not sufficient to identify the correct course of action.*

And, the student argued, one interested party that it was utterly inappropriate for a scientist to include in thinking through an ethical decision is the public.

Of course, I reminded the student of some reasons you might think the public would have an interest in what scientists decide to do. Members of the public share a world with scientists, and scientific discoveries and scientific activities can have impacts on things like our environment, the safety of our buildings, what our health care providers know and what treatments they are able to offer us, and so forth. Moreover, at least in the U.S., public funds play an essential role in supporting both scientific research and the training of new scientists (even at private universities) — which means that it’s hard to find an ethical decision-making situation in a scientific training environment that is completely isolated from something the public paid for.

My student was not moved by the suggestion that financial involvement should buy the public any special consideration as a scientist was trying to decide the right thing to do.

Indeed, central to the student’s argument was the idea that the interests of the public, whether with respect to science or anything else, are just too heterogeneous. Members of the public want lots of different things. Taking these interests into account could only be a distraction.

As well, the student asserted, too small a proportion of the public actually cares about what scientists are up to that the public, even if it were more homogeneous, ought to be taken into account by the scientists grappling with their own ethical quandaries. Even worse, the student ventured, those that do care what scientists are up to are not necessarily well-informed.

I’m not unsympathetic to the objection to the extreme case here: if a scientist felt required to somehow take into account the actual particular interests of each individual member of the public, that would make it well nigh impossible to actually make an ethical decision without the use of modeling methods and supercomputers (and even then, maybe not). However, it strikes me that it shouldn’t be totally impossible to anticipate some reasonable range of interests non-scientists have that might be impacted by the consequences of a scientist’s decision in various ways. Which is to say, the lack of total fine-grained information about the public, or of complete predictability of the public’s reactions, would surely make it more challenging to make optimal ethical decisions, but these challenges don’t seem to warrant ignoring the public altogether just so the problem you’re trying to solve becomes more tractable.

In any case, I figure that there’s a good chance some members of the public** may be reading this post. To you, I pose the following questions:

  1. Do you feel like you have an interest in what science and scientists are up to? If so, how would you describe that interest? If not, why not?
  2. Do you think scientists should treat “the public” as an interested party when they try to make ethical decisions? Why or why not?
  3. If you think scientists should treat “the public” as an interested party when they try to make ethical decisions, what should scientists be doing to get an accurate read on the public’s interests?
  4. And, for the sake of symmetry, do you think members of the public ought to take account of the interests of science or scientists when they try to make ethical decisions? Why or why not?

If, for some reason, you feel like chiming in on these questions in the comments would expose you to unwanted blowback, you can also email me your responses (dr dot freeride at gmail dot com) for me to anonymize and post on your behalf.

Thanks in advance for sharing your view on this!

_____
*Here I should note that I view the ambiguities within the case studies as a feature, not a bug. In real life, we have to make good ethical decisions despite uncertainties about what consequences will actually follow our actions, for example. Those are the breaks.

**Officially, scientists are also members of the public — even if you’re stuck in the lab most of the time!

What does a Ph.D. in chemistry get you?

A few weeks back, Chemjobber had an interesting post looking at the pros and cons of a PhD program in chemistry at a time when job prospects for PhD chemists are grim. The post was itself a response to a piece in the Chronicle of Higher Education by a neuroscience graduate student named Jon Bardin which advocated strongly that senior grad students look to non-traditional career pathways to have both their Ph.D.s and permanent jobs that might sustain them. Bardin also suggested that graduate students “learn to approach their education as a series of learning opportunities rather than a five-year-long job interview,” recognizing the relative luxury of having a “safe environment” in which to learn skills that are reasonably portable and useful in a wide range of career trajectories — all while taking home a salary (albeit a graduate-stipend sized one).

Chemjobber replied:

Here’s what I think Mr. Bardin’s essay elides: cost. His Ph.D. education (and mine) were paid for by the US taxpayer. Is this the best deal that the taxpayer can get? As I’ve said in the past, I think society gets a pretty good deal: they get 5+ years of cheap labor in science, (hopefully) contributions to greater knowledge and, at the end of the process, they get a trained scientist. Usually, that trained scientist can go on to generate new innovations in their independent career in industry or academia. It’s long been my supposition that the latter will pay (directly and indirectly) for the former. If that’s not the case, is this a bargain that society should continue to support? 

Mr. Bardin also shows a great deal of insouciance about the costs to himself: what else could he have done, if he hadn’t gone to graduate school? When we talk about the costs of getting a Ph.D., I believe that we don’t talk enough about the sheer length of time (5+ years) and what other training might have been taken during that time. Opportunity costs matter! An apprenticeship at a microbrewery (likely at a similar (if not higher) pay scale as a graduate student) or a 1 or 2 year teaching certification process easily fits in the half-decade that most of us seem to spend in graduate school. Are the communications skills and the problem-solving skills that he gained worth the time and the (opportunity) cost? Could he have obtained those skills somewhere else for a lower cost? 

Chemjobber also note that while a Ph.D. in chemistry may provide tools for range of careers, actually having a Ph.D. in chemistry on your resume is not necessarily advantageous in securing a job in one of those career.

As you might imagine this is an issue to which I have given some thought. After all, I have a Ph.D. in chemistry and am not currently employed in a job that is at all traditional for a Ph.D. in chemistry. However, given that it has been nearly two decades since I last dipped a toe into the job market for chemistry Ph.D.s, my observations should be taken with a large grain of sodium chloride.

First off, how should one think of a Ph.D. program in chemistry? There are many reasons you might value a Ph.D. program. A Ph.D. program may be something you value primarily because it prepares you for a career of a certain sort. It may also be something you value for what it teaches you, whether about your own fortitude in facing challenges, or about how the knowledge is built. Indeed, it is possible — maybe even common — to value your Ph.D. program for more than one of these reasons at a time. And some weeks, you may value it primarily because it seemed like the path of least resistance compared to landing a “real job” right out of college.

I certainly don’t think it’s the case that valuing one of these aspects of a Ph.D. program over the others is right or wrong. But …

Economic forces in the world beyond your graduate program might be such that there aren’t as many jobs suited to your Ph.D. chemist skills as there are Ph.D. chemists competing for those jobs. Among other things, this means that earning a Ph.D. in chemistry does not guarantee you a job in chemistry on the other end.

To which, as the proud holder of a Ph.D. in philosophy, I am tempted to respond: join the club! Indeed, I daresay that recent college graduates in many, many majors have found themselves in a world where a bachelors degree guarantees little except that the student loans will still need to be repaid.

To be fair, my sense is that the mismatch between supply of Ph.D. chemists and demand for Ph.D. chemists in the workplace is not new. I have a vivid memory of being an undergraduate chemistry major, circa 1988 or 1989, and being told that the world needed more Ph.D. chemists. I have an equally vivid memory of being a first-year chemistry graduate student, in early 1990, and picking up a copy of Chemical & Engineering News in which I read that something like 30% too many Ph.D. chemists were being produced given the number of available jobs for Ph.D. chemists. Had the memo not reached my undergraduate chemistry professors? Or had I not understood the business model inherent in the production of new chemists?

Here, I’m not interested in putting forward a conspiracy theory about how this situation came to be. My point is that even back in the last millennium, those in the know had no reason to believe that making it through a Ph.D. program in chemistry would guarantee your employment as a chemist.

So, what should we say about this situation?

One response to this situation might be to throttle production of Ph.D. chemists.

This might result in a landscape where there is a better chance of getting a Ph.D. chemist job with your Ph.D. in chemistry. But, the market could shift suddenly (up or down). Were this to happen, it would take time to adjust the Ph.D. throughput in response. As well, current PIs would have to adjust to having fewer graduate students to crank out their data. Instead, they might have to pay more technicians and postdocs. Indeed, the number of available postdocs would likely drop once the number of Ph.D.s being produced more closely matched the number of permanent jobs for holders of those Ph.D.s.

Needless to say, this might be a move that the current generation of chemists with permanent positions at the research institutions that train new chemists would find unduly burdensome.

We might also worry about whether the thinning of the herd of chemists ought to happen on the basis of bachelors-level training. Being a successful chemistry major tends to reflect your ability to learn scientific knowledge, but it’s not clear to me that this is a great predictor of how good you would be at the project of making new scientific knowledge.

In fact, the thinning of the herd wherever it happens seems to put a weird spin on the process of graduate-level education. Education, after all, tends to aim for something bigger, deeper, and broader than a particular set of job skills. This is not to say that developing skills is not an important part of an education — it is! But in addition to these skills, one might want an understanding of the field in which one is being educated and its workings. I think this is connected to how being a chemist becomes linked to our identity, a matter of who we are rather than just of what we do.

Looked at this way, we might actually wonder about who could be harmed by throttling Ph.D. program enrollments.

Shouldn’t someone who’s up for the challenge have that experience open to her, even if there’s no guarantee of a job at the other end? As long as people have accurate information with which to form reasonable expectations about their employment prospects, do we want to be paternalistic and tell them they can’t?

(There are limits here, of course. There are not unlimited resources for the training of Ph.D. chemists, nor unlimited slots in graduate programs, nor in the academic labs where graduate students might participate meaningfully in research. The point is that maybe these limits are the ones that ought to determine how many people who want to learn how to be chemists get to do that.)

Believe it or not, we had a similar conversation in a graduate seminar filled with first and second year students in my philosophy Ph.D. program. Even philosophy graduate students have an interest in someday finding stable employment, the better to eat regularly and live indoors. Yet my sense was that even the best graduate students in my philosophy Ph.D. program recognized that employment in a job tailor-made for a philosophy Ph.D. was a chancy thing. Certainly, there were opportunity costs to being there. Certainly, there was a chance that one might end up trying to get hired to a job for which having a PhD would be viewed as a disadvantage to getting hired. But the graduate students in my philosophy program had, upon weighing the risks, decided to take the gamble.

How exactly are chemistry graduate students presumed to be different here? Maybe they are placing their bets at a table with higher payoffs, and where the game is more likely to pay off in the first place. But this is still not a situation in which one should expect that everyone is always going to win. Sometimes the house will win instead.

(Who’s the house in this metaphor? Is it the PIs who depend on cheap grad-student labor? Universities with hordes of pre-meds who need chemistry TAs and lab instructors? The public that gets a screaming deal on knowledge production when you break it down in terms of price per publishable unit? A public that includes somewhat more members with a clearer idea of how scientific knowledge is built? Specifying the identity of the house is left as an exercise for the reader.)

Maybe the relevant difference between taking a gamble on a philosophy Ph.D. and taking a gamble on a chemistry Ph.D. is that the players in the latter have, purposely or accidentally, not been given accurate information about the odds of the game.

I think it’s fair for chemistry graduate students to be angry and cynical about having been misled as far as likely prospects for employment. But given that it’s been going on for at least a couple decades (and maybe more), how the hell is it that people in Ph.D. programs haven’t already figured out the score? Is it that they expect that they will be the ones awesome enough to get those scarce jobs? Have they really not thought far enough ahead to seek information (maybe even from a disinterested source) about how plausible their life plans are before they turn up at grad school? Could it be that they have decided that they want to be chemists when they grow up without doing sensible things like reading the blogs of chemists at various stages of careers and training?

Presumably, prospective chemistry grad students might want to get ahold of the relevant facts and take account of them in their decision-making. Why this isn’t happening is somewhat mysterious to me, but for those who regard their Ph.D. training in chemistry as a means to a career end, it’s absolutely crucial — and trusting the people who stand to benefit from your labors as a graduate student to hook you up with those facts seems not to be the best strategy ever.

And, as I noted in comments on Chemjobber’s post, the whole discussion suggests to me that the very best reason to pursue a Ph.D. in chemistry is because you want to learn what it is like to build new knowledge in chemistry, in an academic setting. Since being plugged into a particular kind of career (or even job) on the other end is a crap-shoot, if you don’t want to learn about this knowledge-building process — and want it enough to put up with long hours, crummy pay, unrewarding piles of grading, and the like — then possibly a Ph.D. program is not the best way to spend 5+ years of your life.

Everyday mentors: a tribute to Dr. James E. Lu Valle.

People talk a lot about the importance of mentors, and scientific trainees are regularly encouraged to find strong mentors to help them find their way as they work to become grown-up scientists. Sometimes, though, mentoring doesn’t happen in explicit coaching sessions but in casual conversations. And sometimes, when you’re not looking for them, mentors find you.

Back in the spring and autumn of 1992, I was a chemistry graduate student starting to believe that I might actually get enough of my experiments to work to get my Ph.D. As such, I did what senior graduate students in my department were supposed to do: I began preparing myself to interview with employers who came to my campus (an assortment of industry companies and national labs), and I made regular visits to my department’s large job announcement binder (familiarly referred to as “The Book of Job”).

What optimism successes in the lab giveth, the daunting terrain laid out in “The Book of Job” taketh away.

It wasn’t just the announcements of postdoctoral positions (positions, I had been told, which provided the standard path by which to develop research experience in an area distinct from the one that was the focus of the doctoral research) that listed as prerequisites three or more years of research experience in that very area. The very exercise of trying to imagine myself meeting the needs of an academic department looking for a certain kind of researcher was … really hard. It sounded like they were all looking for researchers significantly more powerful than I felt myself to be at that point, and I wasn’t sure if it was realistic to expect that I could develop those powers.

I was having a crisis of faith, but I was trying to keep it under wraps because I was pretty sure that having that crisis was a sign that my skills and potential as a chemist were lacking.

It was during my regularly scheduled freak-out over the binder in the department lobby that I really got to know Dr. Lu Valle. While I was in the department, his official position was as a “visiting scholar”, but since he had been the director of undergraduate labs in the department for years before he retired, he wasn’t really visiting, he was at home. And Dr. Lu Valle took it upon himself to make me feel at home, too — not just in the department, but in chemistry.

It started with light conversation. Dr. Lu Valle would ask what new listings had turned up in the binder since the last time he had seen me. Then he’d ask about what kind of listings I was hoping would turn up there. Soon, we were talking about what kind of things I hoped for in a chemical career, and about what scared me in my imagination of a chemical career.

That he bothered to draw me out and let me talk about my fears made those fears a lot more manageable.

But Dr. Lu Valle went even further than just getting me to voice my fears. He reassured me that it was normal for good chemists to have these fears, and that everyone had to get across the chasm between knowing you could be a good student and believing you could be a successful grown-up scientist. And he took it as an absolute given that I could get across this chasm.

Now, I should note for the record that my advisor did much to encourage me (along with pressing me to think harder, to make sure my data was as good as it could be, to anticipate flaws in my interpretations, and so forth). But the advisor-advisee relationship can be fraught. When you’ve been busting your hump in the lab, showing weakness of any sort in your interactions with your PI can feel, viscerally, like a bad idea. I think that for a good stretch of time in my graduate lab, I put a spin on many of my interactions with my PI that was significantly more optimistic than I felt inside. (Then, I worked like mad so that my optimistic projections of what I would be able to accomplish had a reasonable chance of coming true.)

Being able to voice some of my worries to a senior chemist who didn’t need me to make headway on one of his research projects — and for whom reassuring me wasn’t part of the official job description — really helped. Dr. Lu Valle didn’t need to mentor me. He didn’t need to interact with me at all. But he did.

Somewhere in the course of our discussions, as we were talking about the frustrations of getting experiments to work, Dr. Lu Valle mentioned that his advisor had made him completely disassemble, then completely reassemble, complex apparatus — not just to get an experiment under control, but to persuade him that taking the whole thing apart and putting it all back together (even repeatedly) was within his powers.

That was the conversation in which that I learned that Dr. Lu Valle’s advisor had been Linus Pauling.

Now, maybe it amped up the pep-talks a little that a senior scientist who seemed to have complete faith that I was going to do fine had been trained by a guy who won two Nobel Prizes. But mostly, I think it reassured me that Dr. Lu Valle remembered what it was like to be a graduate student and to have to get over the chasm of not knowing if you can do it to believing that you can.

After the season of job interviews passed, I drifted away from “The Book of Job” and back to my lab to get some more experiments done and to get writing. Then, in January of 1993, while he was on vacation in New Zealand, Dr. Lu Valle died.

It was at his memorial service (which happened to be on my twenty-fifth birthday) that I learned the remarkable details of Dr. Lu Valle’s life that didn’t come up in our conversations in the department lobby. A press release from the Stanford University News Office describes some of the high points:

James E. Lu Valle, a visiting scholar at Stanford and retired director of undergraduate laboratories in the Chemistry Department, died Jan. 30 in Te Anau, New Zealand, while on vacation. He was 80.

During a long and varied career, Lu Valle’s research covered electron diffraction, photochemistry, magnetic susceptibility, reaction kinetics and mechanisms, photographic theory, magnetic resonance, solid-state physics, neurochemistry and the chemistry of memory and learning.

Lu Valle was well known in track circles as the 400- meter bronze medal winner of the 1936 Olympics in Berlin. …

Lu Valle ran in the Olympics the same year he graduated Phi Beta Kappa with a bachelor’s degree in chemistry from the University of California-Los Angeles. He then returned for his master’s degree in chemistry and physics, during which time he helped found the graduate student association and served as its first president. In 1983, UCLA named its new Graduate Student Union in his honor.

Lu Valle’s career in chemistry started at age 8, when he found a chemistry set under the Christmas tree. He tried every experiment possible, and eventually filled the house with smoke. At his mother’s insistence, the rest of his childhood experiments took place on the porch.

In 1940, Lu Valle earned a doctorate in chemistry and math under the tutelage of Linus Pauling at the California Institute of Technology. He then taught at Fisk University in Tennessee, after which he spent 10 years at Eastman Kodak working on color photography.

He was the first African American to be employed in the Eastman Kodak laboratories. While there, Lu Valle went on loan to the National Defense Research Committee to conduct research at the University of Chicago and the California Institute of Technology on devices for monitoring carbon dioxide in planes.

He later served as director of research at Fairchild Camera and Instrument and became director of physical and chemical research at Smith-Corona Merchant Labs in Palo Alto in 1969.

During that time, he made extensive use of the Chemistry Department library, in the process getting to know faculty members. When SCM closed its Palo Alto operations, the Chemistry Department asked him to head the freshman labs.

“He was eminently qualified, a first-class chemist,” Professor Douglas Skoog recounted in 1984, “and we were glad to have him. In fact, he was overqualified for the job.”

As head of the labs for seven years, his task was to assign teaching assistants and make sure that the right equipment was always ready.

In practice, he became a friend and counselor to the chemistry majors and pre-med students passing through the department. In an average year, 900 students would start freshman chemistry.

Lu Valle is survived by his wife of 47 years, Jean Lu Valle, of Palo Alto, and three children. Son John Vernon Lu Valle is an engineer with Allied Signal under contract to the Jet Propulsion Laboratory in Pasadena, and Michael James Lu Valle is associated with Bell Laboratories in New Jersey. Daughter Phyllis Ann Lu Valle- Burke is a molecular biologist at Harvard Medical School. A sister, Mayme McWhorter of Los Angeles, also survives.

Dr. LuValle never talked to me about what it was like to be an African American athlete competing in Hitler’s Olympics. He didn’t share with me his experience of being the first African American scientist working at Eastman Kodak labs. We didn’t discuss the details of the research that he did across so many different scientific areas.

If I had known these facets of his past while he was alive, I would have liked to ask him about them.

But Dr. Lu Valle was, I think, more concerned with what I needed as someone trying to imagine myself taking on the role of a grown-up chemist. His success as the director of undergraduate labs had a lot to do with his ability and willingness to tune into what students needed, and then to provide it. With all of those accomplishments under his belt — accomplishments which potentially might have made a student like me think, “Well of course an exceptional person with so much talent and drive succeeded at science, but I’m not that exceptional!” — he wasn’t afraid to dig back to his experience of what it was like to be a graduate student, to remember the uncertainty, frustration, and fear that are a part of that experience, and to say, “I got through it, and I have every reason to believe that you will, too.”

I don’t know whether personal experience is what developed Dr. Lu Valle’s awareness of how important this kind of mentoring can be, but it wouldn’t surprise me a bit. As an African American graduate student at Caltech in the 1930s, I’m sure he had lots of people expecting him to fail. Having people in his life who expected that of course he would succeed — whether his parents, his advisor, or someone else with standing as a grown-up scientist — may have helped him propel himself through the inescapable moments of self-doubt to the distinguished trajectory his professional life took.

It may not be accidental, though, that in a very white, very male chemistry department, Dr. Lu Valle was the one who put himself in my path when I was doubting myself most and reassured me that I would do just fine. Maybe he knew what it was like to have someone provide that kind of support when you need it.

I count myself as lucky that, in his retirement, Dr. Lu Valle still felt that the chemistry department was a home to him. Because of him, that department and the larger community of chemists felt like more of a home to me.

I am science … or am I?

Kevin Zelnio kicked it off on Twitter with a hashtag, and then wrote a blog post that shared the details of his personal journey with science. Lots of folks have followed suit and shared their stories, too — so many that I can’t even begin to link them without leaving something wonderful out. (Search the blogs and Twitter for #iamscience and you’ll find them.)

I’ve been trying to figure out the best way to tell my own “I am science” story, but it’s complicated. Thus, I’m preemptively declaring this my first pass, and reserving the right to come back at it from a different angle (or two, or three) later.

One of the things I mentioned in my story at the ScienceOnline 2012 banquet is that I have always loved science. As far back as I can remember, I have wanted to understand how the pieces of my world work. I have thrilled at utility (and fun) of the problem-solving strategies that are part of a scientific approach to the world. I have contemplated the different observational, experimental, and conceptual tools different scientific disciplines bring to the table (and the ways that directing these different toolboxes to the same phenomena can give us starkly different understandings of just what is going on).

I wanted to learn science. I wanted to do science. But I lived in a culture that took pains to make it clear that girls and women were not supposed to be into science, so I should just cut it out.

Luckily for my love of science, well-behaved was not really a tool in my personal toolbox, at least when it came to edicts that got in the way of goals that mattered to me.

I probably got by with the normal ration of sexist crap. For example, I had the junior high math teacher who was convinced (and did not hide this conviction from his students) that Girls Just Cannot Do Math. Finishing geometry in one quarter so I could get the hell out of his classroom (for the matrix algebra class at the high school) was not just liberatory, but it let me give him a metaphorical poke in the eye. It did not, however, change his conviction about girls and math. I had the guidance counselor who was concerned that I was overloading with “hard” (i.e., math and science) courses when maybe it would be better if I took some home ec., or even a study hall.


As I went to a women’s college, I actually skipped the bulk of the classroom sexism I heard about from peers at other universities. None of my chemistry or physics professors started with the assumption that it was weird to have women in the classroom or the lab, which was nice. I did find out later that at least one of the professors had made offhand comments that chemistry majors at my alma mater probably weren’t “up to” graduate programs like the one I went to. Unless this professor was thinking that the graduate school experience should be all margaritas and hot stone massages, I have no idea what this impression was based on; in my graduating class, I was a fair to middling chemistry major (as some of the comments in my lab notebooks attest) — not one of the stars by any stretch of the imagination — and I was sufficiently “up to” the graduate program that I earned my Ph.D. in just over four years.


Of course, I got to bask in the sexism provided by students of a nearby technical school, which my boyfriend at the time happened to attend. Said boyfriend had taken to posting photocopies of each of my grad school acceptance letters on his door, proclaiming to the world (or at least to the frat) what a glorious geek his girlfriend was. After acceptance number 5 (out of 5 applications, to top-10 schools) was posted, a frat-brother said, “Wow, she must have applied to a lot of schools.” When told that the number of acceptances equalled the number of applications, he replied, “Ohh — affirmative action.”


Because clearly, how else could a chick (from a women’s college, no less) get into top graduate programs in chemistry?


And you know, that view was shared by at least some of the men in the graduate program I attended. Because nearly a quarter of our incoming class was female, it was clear to them that affirmative action had been in high gear during the admissions process. (Meanwhile, I was looking at the numbers and thinking, “Where the hell are the rest of the women?”) Women who did very good research, who got publishable results (and publications), and who got their Ph.D.s in four or five years (rather than six or seven or eight) were frequently looked upon with suspicion. They must be getting extra breaks from the system. Or maybe it was that their research focus was not very … significant. (There were never any reasoned arguments to back up the claims that a particular research focus was trivial; it just must be, because … well, she’s doing it.)

Meanwhile, of course, female TAs (in classes like thermodynamics) were treated with contempt by undergraduates. In instances where problem sets and solution sets disagreed about an answer, the fact that the solution set was prepared by a female was treated as reason enough to question its correctness.

Because women don’t really understand physical chemistry as well as men do (even, apparently, men who have not yet taken physical chemistry).

The fact that all of this garbage was clearly recognizable as garbage at the time didn’t make dealing with it any less tiresome. Some days there was barely enough energy just to do my own homework, grade the stacks of problem sets, and try to get things in the lab to function as they should. Keeping myself from punching the noses of the people who treated me as an interloper in science because I was a woman took up energy I could have used for other things.


Sexist crap not withstanding, I made it through. I got my Ph.D. in physical chemistry.

And then, things took an unexpected turn.

I was trying to write an NSF proposal to get funding for a post-doc I had lined up. I was very interested in the research in the lab in which I was planning to work. Indeed, I had been pretty enthuisiastic about the whole thing while I put together an NIH proposal to fund postdoctoral research in that lab. I could definitely imagine three years worth of learning about systems and measurment techniques that were new to me, and I could see it building on (and drawing upon) the things I had learned in my doctoral program in interesting ways.


But the NSF proposal I was writing was such that I could not describe the research project I was planning to undertake as a post-doc. Rather, the task was to describe the first project I envisioned undertaking as a principal investigator. In other words, tell us what you’ll contribute when you are officially a grown up scientist.


Now, I could think of lots of projects I would be qualified to pursue. I could even work out interesting projects in my general area of expertise that would be fundable. But, I was having trouble putting my heart into any of them. Imagining myself setting up a lab of my own to pursue any of these lines of research made me … sad.


I tried to ignore the sad feeling. I tried to put it down to slothful avoidance of the thinking and writing involved in the NSF proposal. But then, every time I’d try to make myself think past the few years of the impending post-doc, I got the same sad, empty feeling.


I knew I was still fascinated by science and its workings, still moved by the elegant model or the clever experiment. But it was becoming clear to me that in my heart I didn’t want to do science for the rest of my life. Serious reflection got me to the reasons: Doing science (i.e., being able to get funding to do science) would require that I focus my attention on the minutiae of a particular system or a particular problem; this is the approach that seems most effective in yielding the data and insight that solves scientific problems. But, the questions that kept me up at night were much broader questions about how, more generally, experiments tell us anything about the deep structure of the universe, how different methodological assumptions make the same phenomena tractable in different ways, what balance of hard-headed skepticism and willingness to entertain speculative hypotheses scientists needed to get the job done …


These were questions, clearly, that I would get into trouble for making the focus of my research were I working in a chemistry department. They had the smell of philosophy all over them. So I had to choose between being kept up at night by questions I couldn’t pursue professionally and pursuing questions I was not so interested in for a living, or admitting that my interest in science was primarily driven by an interest in philosophical questions and get myself the necessary training as a philosopher to pursue them. In some ways living a lie would have been the path of least resistance, but given how little I enjoyed being with me as I contemplated a loveless marriage to a scientific career, I figured I’d probably me cutting myself off from fellowship with other humans as well. So, I made the entirely selfish decision to do what I thought would make me happy.

Here, believe me when I tell you that it felt like a selfish decision in the time — not like a luxurious self-indulgence, but out and out selfishness. I leaked out of the pipeline. I could have improved the gender balance in science by one, and I didn’t. Instead of helping the sisters, I pursued my own individual happiness.


This is the thing I hate most about pervasive sexism. It makes your personal choices important to others in a way that they wouldn’t be if you were just an ordinary human being. It’s hard not to feel that I have let down people I have never even met by leaving the sparse ranks of women scientists, or that I have handed myself over to the pundits: one more example of a woman who couldn’t, or wouldn’t, hack it in science.


None of which is to say that my relationship with science is over.

My professional life as an academic philosopher is tied up with understanding how science, and the community that does science, works. If anything, I feel more connected to the intellectual enterprise as a whole, and its connection to other aspects of human flourishing, than I did when I was in the trenches working as a chemist. As an educator, I have an opportunity I might not have had if I were teaching primarily chemistry majors to help folks who fear science understand it better. As it happens, I also have the opportunity to teach lots of science majors (in my “Ethics in Science” course) how ethics matter to scientific knowledge-building, and to the project of sharing a world with non-scientists. Since I’m tickled to be paid to think about the questions that keep me up at night, I have enthusiasm and energy I might not be able to muster otherwise to call shenanigans on misrepresentations of the scientific enterprise, whether by policy makers or science teachers.

Science has my devotion as a philosopher; as a chemist, chances are I would have just been going through the motions.

I may have left the lab bench, but I haven’t left the conversation.

Occasionally, though, I have to grapple with the question of whether I’m in the conversation as an insider or an outsider. Do I really count in the tribe of science? If I don’t do science anymore, how can it make sense to claim that science is part of who I am?

I don’t know what I can say to that except that my love for science, my inclination towards scientific ways of navigating through my world, the formation of myself as a competent scientist as I was figuring out how to become an adult — these are things I cannot separate from my identity. These are features of myself I cannot turn off. If you deal with me, these are some of the facets you are likely to encounter.

Am I science? It sure feels that way to me.

What a scientist knows about science (or, the limits of expertise).

In a world where scientific knowledge might be useful in guiding decisions we make individually and collectively, one reason non-scientists might want to listen to scientists is that scientists are presumed to have the expertise to sort reliable knowledge claims from snake oil. If you’re not in the position to make your own scientific knowledge, your best bet might be to have a scientific knowledge builder tell you what counts as good science.

But, can members of the public depend on any scientist off the street (or out of the lab) to vet all the putative scientific claims for credibility?

Here, we have to grapple with the relationship between Science and particular scientific disciplines — and especially with the question of whether there is enough of a common core between different areas of science that scientists trained in one area can be trusted to recognize the strengths and weaknesses of work in another scientific area. How important is all that specialization research scientists do? Can we trust that, to some extent, all science follows the same rules, thus equipping any scientist to weigh in intelligently about any given piece of it?

It’s hard to give you a general answer to that question. Instead, as a starting point for discussion, let me lay out the competence I personally am comfortable claiming, in my capacity as a trained scientist.

As someone trained in a science, I am qualified:

  1. to say an awful lot about the research projects I have completed (although perhaps a bit less about them when they were still underway).
  2. to say something about the more or less settled knowledge, and about the live debates, in my research area (assuming, of course, that I have kept up with the literature and professional meetings where discussions of research in this area take place).
  3. to say something about the more or less settled (as opposed to “frontier”) knowledge for my field more generally (again, assuming I have kept up with the literature and the meetings).
  4. perhaps, to weigh in on frontier knowledge in research areas other than my own, if I have been very diligent about keeping up with the literature and the meetings and about communicating with colleagues working in these areas.
  5. to evaluate scientific arguments in areas of science other than my own for logical structure and persuasiveness (though I must be careful to acknowledge that there may be premises of these arguments — pieces of theory or factual claims from observations or experiments that I’m not familiar with — that I’m not qualified to evaluate).
  6. to recognize, and be wary of, logical fallacies and other less obvious pseudo-scientific moves (e.g., I should call shenanigans on claims that weaknesses in theory T1 count as support for alternative theory T2).
  7. to recognize that experts in fields of science other than my own generally know what the heck they’re talking about.
  8. to trust scientists in fields other than my own to rein in scientists in those fields who don’t know what they are talking about.
  9. to face up to the reality that, as much as I may know about the little piece of the universe I’ve been studying, I don’t know everything (which is part of why it takes a really big community to do science).

This list of my qualifications is an expression of my comfort level more than anything else. It’s not elitist — good training and hard work can make a scientist out of almost anyone. But, it recognizes that with as much as there is to know, you can’t be an expert on everything. Knowing how far the tether of your expertise extends is part of being a responsible scientist.

So, what kind of help can a scientist give the public in evaluating what is presented as scientific knowledge? What kind of trouble can a scientist encounter in trying to sort out the good from the bad science for the public? Does the help scientists offer here always help?

What the chlorite-iodide reaction taught me.

Since 2011 is the International Year of Chemistry, the good folks at CENtral Science are organizing a blog carnival on the theme, “Your favorite chemical reaction”.

My favorite chemical reaction is the chlorite-iodide reaction, and it’s my favorite because of the life lessons it has taught me.

The reaction has overall stoichiometry:
ClO2 + 4 I + 4 H+ = 2 I2 + Cl + H2O
Written out that way, as a simple set of reactants and products, it doesn’t look that exciting, but when the reaction is run in a continuous flow stirred tank reactor (CSTR), where reactions are flowed in and products are removed, it can exhibit oscillatory behavior. The oscillations in the concentrations of iodine (I2) and iodide (I) can be tracked experimentally, the former by measuring UV absorbance at 460 nm, the latter by measuring the potential of an ion-specific electrode.

An early study of the kinetics of this reaction determined that it “is catalyzed by the iodine product, and the autocatalysis is inhibited by iodide ion.” (Kern and Kim 1965, 5309) In 1985, Epstein and Kustin proposed the first mechanism for this reaction to account for the oscillatory behavior, one that includes 13 elementary steps and 12 chemical species. Two years later, Citri and Epstein proposed an improved model mechanism with 8 elementary mechanistic steps and 10 chemical species. The Citri-Epstein model proposes a different set of elementary steps to describe the oxidation of iodide by chlorite. In addition, it eliminates the intermediate IClO2, “whose existence has been called into question elsewhere.” (Citri and Epstein 1987, 6035) The resulting model mechanism seemed to produce better agreement between predicted and measured concentrations of iodide and iodine than that given by the earlier model.

The chlorite-iodide reaction also happens to have been the reaction at the center of most of my research for my Ph.D. in chemistry.

Here are some of the lessons I learned working with the chlorite-iodide reaction:

  1. Experimental tractability matters, at least when you’re doing experiments. The general thrust of my research was to work out clever ways to perform empirical tests of proposed mechanisms for oscillating chemical reactions, but the chlorite-iodide reaction was not the first reaction I worked with. I started out trying to make some clever measurements on another reaction, the minimal bromate oscillator (MBO). However, after maybe six months of fighting to set up the conditions where the MBO would give me oscillations, I had to make my peace with the idea that its “small” region in phase-space with oscillatory behavior was really, really small. Luckily, in my reading of the relevant literature on the experimental and theoretical approaches we were taking, I had come across a similar inorganic chemical oscillator with an “ample” oscillatory region, one which promised to make my time in the lab exponentially less frustrating. That’s right, the chlorite-iodide reaction was my rebound system, but we stayed together and made it work.
  2. When your original research project gets stuck, it’s good to have a detailed plan for how to move forward when you talk to the boss. My advisor was really keen for that minimal bromate oscillator that was making my life in the lab a nightmare. So, when I met with him to tell him I wanted to break up with the MBO and take up with the chlorite-iodide reaction, I had to make the case for the new system. I came armed with the articles that described its substantial oscillatory region, and the articles that described the MBO’s tiny one. I prepared some calculations describing how much more precise our pump-rates would need to be to find MBO oscillations, and catalogues that listed the prices of the new equipment we would need. I brought the articles proposing mechanisms for the chlorite-iodide reaction so I could display the virtues of their elementary mechanistic steps from the point of view of the kind of experimental probing we had in mind. Because I did my homework and was able to make a persuasive case, the boss was happy to let me start working with the chlorite-iodide system right away, and to kiss the minimal bromate oscillator goodbye forever.
  3. Experimental tractability is relative, not absolute (and Materials and Methods often leave stuff out). The chlorite-iodide reaction was certainly easier to work with — within a week, I found oscillations where the literature said I would — but it was not completely smooth sailing. There were pumps that didn’t perform as they should, which meant I was taking them apart and swapping out components. There were days when I couldn’t get any reliable measurements because the pH meter I used with my iodide-specific electrode had been left on for too many hours in a row. And, there were little details I discovered in setting up experimental runs day in and day out that were not fully discussed in the “materials and methods” section of the published papers describing the chlorite-iodide reaction. Reproducibility is hard
  4. Reactions happen in three-dimensional space, not just in reaction space. One of the experimental challenges of the chlorite-iodide reaction is that, to find the dynamical behavior you’re looking for, you have to stir the reactants in the tank reactor at the right speed. Stirring much faster or much slower will change the dynamics of the reaction, as will using a reactor with significantly different internal geometry. (“Dimples” protruding into the cylindrical space inside the reactor are supposed to help you mix the reactants more effectively, rather than giving them the opportunity to hang out unmixed by the walls.) Appropriate stirring speed was not one of the parameters spelled out by the papers whose descriptions of the reaction I was using to get started, nor was reactor geometry. I had to do experiments to work out the stirring speed that (with the geometry of the reaction vessel we had on hand) produced the same behavior as these other papers were reporting. Once I found that stir-speed, I kept that constant for my experimental runs. Also, I made detailed measurements of the reactor we were using, which turned out to be a really good thing when that reactor broke. I was able to take those measurements to the glass-blower’s shop and get replacements (plural) made.
  5. Time well spent in setting things up is frequently rewarded with good data. It was absolutely worth it to spend a couple hours at the beginning of each run calibrating pump flow-rates and checking out the iodide-selective electrode performance with standard solutions, since this let me apply the experimental conditions I wanted to and make accurate measurements. Did I mention that reproducibility is hard?
  6. Qualitative measurements require patience, too. Among other things, I was interested in mapping the edges of regions in phase-space where the chlorite-iodide reaction displayed different kinds of behavior. On one edge, there was a bifurcation where you would find steady state behavior (i.e., stable concentrations of reaction species) that, coming up on the bifurcation point, became tiny-amplitude oscillations that grew. On the other edge, the oscillations had attained their maximum amplitude, but their period (that is, the lag between oscillatory peaks) grew longer and longer until there weren’t any more peaks and the reaction settled into another steady state. The thing was, it was hard to know when you were set up with conditions where the period of oscillation was just really, really long (sometimes around 20 minutes between peaks, if memory serves) or when you had found the steady state. You had to be patient. While I was exploring that edge of the reaction in phase-space, I started thinking maybe that was a good metaphor for certain aspects of graduate school.
  7. You probably can’t measure everything you’d want to measure, but sometimes measuring one more thing can help a lot. As I mentioned above, the Citri-Epstein mechanism for the chlorite-iodide reaction posited ten chemical species in the various steps of the reaction. In a perfect world, you’d want to be able to measure each of those species simultaneously over time as the reaction proceeded. But, as one learns pretty quickly in grad school, this is not a perfect world. When I started with this reaction, published papers were reporting simultaneous dynamical measurements of only two of those species (iodide and iodine). Chloride is one of the hypothesized intermediates, and there are chloride-specific electrodes on the market. However, the membrane in a chloride-specific electrode also reacts with … iodide. Other intermediate species might be measured by various chemical assays if the progress of the reaction could be halted in the samples being assayed. By the end of my graduate research, I had figured out a way to use a flow-through cuvette and a seat-of-the-pants spectral deconvolution technique to measure the time-series of one additional species in the reaction, the chlorite ion (ClO2). This was enough to do some evaluation of the proposed mechanism that was not possible without it.

Later on, when I became a philosopher of science, this work gave me some insights into the circumstances in which chemists are happy to be instrumentalists (e.g., recognizing that the fact that a proposed reaction mechanism was consistent with the observed kinetics of the reaction was no guarantee that this was the actual mechanism by which the reaction proceeded) and the circumstances in which they lean towards being realists (by finding ways to distinguish better proposed mechanisms from worse ones). But back when I was actually getting glassware dirty running the chlorite-iodide reaction, this reaction helped me learn how to be a scientist.

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Works cited:
Citri, Ofra, and Irving R. Epstein (1987) “Dynamical Behavior in the Chlorite-Iodide Reaction: A Simplified Mechanism”, Journal of Physical Chemistry 91: 6034-6040.

Epstein, Irving R., and Kenneth Kustin (1985) “A Mechanism for Dynamical Behavior in the Oscillatory Chlorite-Iodide Reaction”, Journal of Physical Chemistry 89: 2275-2282.

Kern, David M., and Chang-Hwan Kim (1965) “Iodine Catalysis in the Chlorite-Iodide Reaction”, Journal of the American Chemical Society 87(23): 5309-5313.