Thursday, October 31, 2013

Has the sun set on societies?

My mum asked me to write a post on how society publishers could keep young scientists involved, as this is something that many scholarly publishers, libraries, and societies are thinking about. Her comments were something along the lines of "We oldies, who are the ones making decisions about the future of our organizations, are worried about keeping early career scientists involved. For example, most societies are run by the older generation, and although some (eg. AGU, ESA) do have a good group of early career scientists, these appear to be exceptions to the rule. How can we get more of you involved?"

One factor could be the cliqueyness of conferences. The primary incentive of society memberships I can see are 1. access to jobs boards/listservs and 2. going to conferences (for societies that require membership to attend conferences). But how do you break into a group of scientists who are talking to one another if they are all friends? Would you rather not stick with your own kind? It is kind of like the first day of school all over again, only you probably don't have quite as much courage to ask to join someone else's game (conversation), or the brazen spirit to get over rejection. Then again, later career scientists may feel the same way about talking to earlier career scientists. People are just awkward.

Perhaps the best way to get all age groups is to create intergenerational labs. While as a grad student I may be able to relate to my pre-tenure advisor, I look at many later stage professors and they seem a world away. And since many of them got tenure in a different era, they really are. There are certain full professors I can relate to, but the initial interactions and courage to talk to one another is contingent upon our daily bumping into each other rather than any intellectual exchanges. Of course, deciding who shares which lab space isn’t really within the powers of societies, but holding workshops specifically designed to bridge the generational gap is (so offering miniseminars or discussion groups at conferences where the organizers put together a small group of scientists at different stages in their careers and from different institutions to talk).*

From a publishers perspective, keeping early career scientists involved with the societies they work with is seen as vital for maintaining readership. I can’t really say how to keep up readership in the early career sector, but I know what I want. I want those pesky career services adverts to go away – or at least to not compromise job post quality and relevance in the name of money (do I really seem like the kind to want a job in pharmaceuticals if I am reading a paper on theoretical ecology?).  I don’t need a society’s calculator tools; labs have already developed plenty enough of those, which are high quality so don't waste your resources trying to compete with them. A publisher’s website does not need to be a one-stop shop, and should stop wasting its energy trying to be. Remove that banner stuff and those sidebar links and fill as much of the page as possible with actual content– the screen on my laptop is quite small and I want to see the figures as I read.  Just give me the papers I want to read, please. This isn’t the superbowl.

But perhaps ultimately what societies and publishers can do to involve a younger audience is to stop assuming everyone is going into academia (and in a few instances, perhaps industry). Develop resources that don't immediately exclude the majority of young scientists that aren't in or aspire to be in tenure track positions. 

What do you want from societies and publishers (besides free access to all the journals in the world)? Is there something you think that societies could provide to entice you to participate more, or are societies a lost cause in your mind?

* I would like to point out that there are of course numerous exceptions to my sweeping generalizations about societies, publishers, and conferences and/or organizations doing the things I suggest are good here. The purpose of these statements are to demonstrate instances of where I think these organizations are headed in the right direction.

Sunday, October 13, 2013

What makes a paper mind-alteringly good?

Sorry about the overly-dramatic title, but after reading what I think is a very well planned and executed paper on the phylogenetic and geographical dispersion of drought tolerance in plants earlier, I have been thinking about the power that single articles can have over our outlook on our work.

If the world's journal archives were about to be obliterated, the one article I would grab would be Davidsson and Janssens' 2006 paper in Nature on how climate-induced changes in decomposition may feed back. Actually, this is the only paper I kept from my undergraduate, and I have been reading the same dog-eared, scribbled-on copy for the past five years. It is also the only paper for which I have gone through and read every paper cited in it.

But why did this article appeal to me initially? I didn't understand most of it the first time I read it. Or the second. It took a week of staring at Box 1 to understand what it was talking about, and some of the other arguments in the paper seemed flawed to me because the lines of logic they were following weren't laid out, and disagreed with the facts I was aware of the time. But from what I could decode, I knew this paper would be really important for my understanding of the carbon cycle under climate change. And in my young inexperienced state, I thought that it must be good and right, because it was published in Nature.

Despite my interest in the paper's important topic, it was the dense challenge of the paper, working through the hidden complexities of the carbon cycle, that got me. Every time I read it, I get something new out of it, and it helps me frame my work in the bigger picture and remind my why I love my work.

But what article do you keep returning to?

Basic psychology would tell us that for most of us, our most powerful article will be one of the first we read on a topic; our experiences early in life (whether research or real) shape how we perceive subsequent events, and therefore we will find ourselves returning to the point (paper) which established our mindsets. I would think that review articles would also be favored over primary research articles, because they put the research in context and are generally written by people with respected views. Of course, regurgitating what is known doesn't help, but putting a new spin we hadn't thought of (for example pulling in information from other disciplines) would make an influential article in my books.

I think this would mean that journals that want to be cited lots should favor interdisciplinary reviews. I believe I read somewhere that this already happens - does it? That seems like it would be a much too simple key to "success"!

Thursday, October 3, 2013

What to do when you're wrong...

Sorry for the delay in posts. I've been busy being wrong.

As we know, one of the first tenets of "good" science is reproducibility. If I follow someone else's protocol, using the same starting material, I should get the same results. But if you do that, and you get a different result, how do you know whether the alternate result is because you didn't quite replicate the protocol, or because the original conclusions were wrong? Or what if you interpreted the same results differently?

I can imagine this is an especially large problem when you are new to a protocol (or at least that is my excuse), as you lack a sense of the range of possible outcomes. For example, a labmate was trying to interpret a catalase test earlier, and would have said that all our results were negative compared to the plate of mixed soil bacteria I had, where adding a drop of hydrogen peroxide caused a baking soda and vinegar type volcano effect. Two of the bacteria were supposed to be catalase positive, and if we added tons of hydrogen peroxide directly to a plate with a high density of bacteria and looked really really close for a few minutes and imagined a positive result, we got one or two small bubbles. This is exactly the same as if I drop a drop of the hydrogen peroxide on uninoculated media. So did the authors who stated these organisms were catalase positive actually mean it, or did some nervous inexperienced student  who was told to look for any sign of bubbling squirt a bubble onto the slide and say there was a positive result? Who decides where the boundaries of a positive or a negative result are - would it not depend on "how" positive or negative your control organisms are? Do people publish the organisms they used as controls alongside their determination of whether something shows a positive or a negative result? No evidence for these yet.

Maybe we should just mandate that all standards in genomics tables be replaced by full-colour pictures. Voluptuously bubbling hydrogen peroxide. Stunning Gram stains. Replace someone else's interpretation of ambiguous data with informative eye candy.

In another instance, I have been working (a bit too long) on trying to get well-published qpcr primers to work, and finding that the conditions as close to the original ones I can reproduce in my lab just don't work. I was afraid I had contaminated the freezer stock of my organism, or put too much or too little template, or used the wrong temperature...something that was my fault. I tried to come up with an answer and a solution for my PI for when I told her that things weren't really working. But apparently, however, what I thought was close enough to the original conditions probably is not; the primers were tested against a sequence placed in a purified plasmid, and I am using genomic DNA.

Which brings us to another class of issues with reproducing an experiment - what if you purposefully are not exactly reproducing an experiment, because you don't believe the methods used are valid and/or reliable and/or result in biologically meaningful conclusions? Why waste time and money trying to reproduce an experiment that was invalid when it was made, and still invalid now, just to try and compare your results to ones you cannot trust? At my stage, I think it is so you can fit in; the ability to reproduce something invalid is a valuable skill for perpetuating some of the falsehoods of science, which you have to be able to do in order to prove your worth in breaking the (methodological) status quo.

So why use a plasmid template for qPCR, even if it does a poor job representing the kinds of templates you will be comparing with from the environment? Because it is one of the standards for this kind of data collection; we can hide behind completely non-reproducible data, uncertain whether it is due to the methods, or because we are dealing with "complex" environmental samples that nobody else is likely to exactly mimic.

But no matter what I may do to try and convince myself I wasn't wrong, I was. I tried to reproduce results under the conditions I thought they should be done, not those in which they were intended.

So if you are wrong, either make sure you do it reproducibly so you can challenge what is deemed right, or do so using conditions nobody expects ever to exactly reproduce. But know when to accept that it is you, not science, not the protocol, that is wrong.