• Lembot_0003@lemmy.zip
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        12 days ago

        Descart: What an excellent time to be long dead and therefore not need to even think about this logical abomination of a sentence!

    • jol@discuss.tchncs.de
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      12 days ago

      Science researchers and students often spend a lot of their time doing statistical analysis, including using programming for that.

    • Peanut@sopuli.xyz
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      12 days ago

      Bayesian analysis of complex intelligent systems via friston’s free energy principle and active inference? Or machine learning?

      Personally love the stuff circling Michael Levin at tufts university. I could also imagine there’s a lot of unique model building in different biological/ecological niches.

    • propter_hog [any, any]@hexbear.net
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      12 days ago

      Computational biology and ecology are a huge part of those fields. I work at a research lab (in computer science) and one of our sister labs is dedicated to environmental stuff and has mostly biologists and ecologists employed at it; a large part of the research they do involves supercomputing somehow, so we tend to partner with them a lot. As an example, modeling population growth or decline due to a change in the population’s environment is one such use of computing and statistics in biology and ecology.