Also this week: stuff we’re not linking to.
I’ve been “attending” (if that’s the right word) the virtual #ESA2020 meeting. I had a look at a few presentations over the weekend. Here are some random thoughts:
Also this week: when “following the science” makes for bad policy (?), and more.
How do you think the Ecology and Evolution job market will fare in the near and long term? In what ways might it resemble and differ from the 2008 recession?
I am particularly concerned about the disproportionate toll of the pandemic/protests on those of us who are parents, POC, etc, who may not have the same productivity during this time to remain competitive after the jobs come back (to a saturated field of PhDs).
Also this week: learning from dishonest signals (book blurb edition), what to get the paleontologist who has everything, Slate Star Codex is back (?), Anthony Fauci vs. pitching, and more. Continue reading
Every year we invite you to ask us anything. Here’s our next question, from Mike Mahoney, and our answers:
What (if any) role do you see for less-interpretable machine learning (& similar techniques) in ecology? In particular I’m thinking of Brian’s posts on statistical machismo & also the need for more prediction in ecological studies, and Peter Adler’s post on ecological forecasting — I’m wondering if you see any areas in ecology where the increase in predictive accuracy offsets not being able to understand how the model got there.
A conversation with a friend who can code in FORTRAN reminded me to re-up this old post of Meghan’s. What’s the scientific or academic thing you’ve done or experienced that someday will make you seem really, really old? Both the post and the comment thread are fun, you should read them. We all deserve more fun than we’re having right now.
Also this week: questioning whether tweets lead to citations, COVID-19 vs. scientific societies, and more.