It’s at this colloquium on meta-analysis in economic research, Sat 18 Oct 2025, 9:30am:

All Our Default Models Are Wrong: Causal inference for varying treatment effects

Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University

Everybody knows that effects can vary, but the usual models we fit do not account for structure in the variation. This is relevant for generalization from sample to population, for anticipating changes over time, and when designing new studies and analyzing existing data. We discuss several directions for going beyond the usual additive model, along with the challenges of fitting such models and interpreting the results, which tend not to reach conventional “statistical significance.”

Perhaps with audience participation there will be a discussion of the particular relevance of this work to economics.