I am so interested in attribution science and its applicability to social science as a complement (and perhaps corrective) to the obsession with isolating causality in a complex and multi-causal world. Great rundown by Ars Technica.

This is a detailed look into the computation behind weather forecasting and how climate science is being integrated. The layering of models and the choice between ML and equation-based modeling always fascinates me. Social science has a lot to learn from these approaches.

This is wonky, but as it is forecast to hit above 100F here in Boston this week, I plan on digging in and reading this really great report/policy vision that explains how a better world is possible. This is the kind of engaged applied social science that I love!

This interests me for three reasons: 1) it is the kind of ambitious policy vision we need to see; 2) it models its assumptions and clearly explains them; 3) there are no notable US politicians speaking at the World Inequality Conference. We need leaders who are relevant voices in exactly these conversations.