What is ML for Climate Change? - by Nathan Lambert

A new “subfield” founded in 2019 is making waves, and is more accessible than I first thought.

In this issue, with the devolving world order, seeking positive, engaging work, I wanted to learn a) what actually is machine learning for climate change and b) are there reasonable paths for us to dive in and contribute? To quote the call for action in a paper I cite heavily later: Groundbreaking technologies have an impact, but so do well-constructed solutions to mundane problems. To start with, I knew there were a bunch of recent workshops on climate change and machine learning (such as ICLR 2020, ICML 2019, NeurIPs 2019 editions). When looking here, it turns out it is a centralized…

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