Ecologists are gender-biased

16 11 2017


I normally don’t do this, but this is an extra-ordinary circumstance.

As many of you are already aware, Franck Courchamp and I published a paper in Nature Ecology and Evolution on Monday that ranked high-profile ecology papers. I won’t go into any details about the list here, because you can read the paper and the associated blog posts themselves.

The publication caused a bit of a stir among ecologists, evidenced by the rather high and rising Altmetrics score for the paper (driven mainly by a Boaty McBoatface-load of tweets). I haven’t done any social-media analysis, but it appears that most of the tweets were positive, a few were negative, and a non-trivial proportion of them were highly critical of the obvious male-biased nature of the list (in terms of article authors).

On that last point, we couldn’t agree more.

Which is why we have a follow-up analysis specifically addressing this gender bias, but that’s currently in review in Nature Ecology and Evolution.

In the meantime, however, and at the suggestion of possibly one of the coolest, nicest, and most logical editors in the world, Dr Patrick Goymer (Editor-in-Chief of Nature Ecology and Evolution), I’ve just posted a pre-print of our paper entitled “Gender-biased perceptions of important ecology articles” on bioRxiv.

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A gender-diverse lab is a good lab

18 09 2017


Another little expurgated teaser from my upcoming book with Cambridge University Press.

My definition of a ‘lab’ is simply a group of people who do the science in question — and people are indeed a varied mob. I’d bet that most scientists do not necessarily give much thought to the diversity of the people in their lab, and instead probably focus more on obtaining the most qualified and cleverest people for the jobs that need doing. There are probably few of us who are overtly racist, sexist, or otherwise biased against or for certain types of people.

But the problem is not that scientists tend to exclude certain types of people deliberately based on negative stereotypes; rather, it concerns more the subconscious biases that might lurk within, and about which unfortunately most of us are blissfully unaware. But a scientist should be aware of, and seek to address, these hidden biases.

I acknowledge that as a man, I am stepping onto thin ice even to dare to discuss the thorny issue of gender inequality in science today, for it is a massive topic that many, far more qualified people are tackling. But being of the male flavour means that I have to, like an alcoholic, admit that I have a problem, and then take steps to resolve that problem.

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