Causal Inference across Fields: Methods, Insights, and Applications – Oct 22, 2025

Session Description

Causal Inference across Fields: Methods, Insights, and Applications aims to bridge cutting-edge research with real-world policy applications.

The Workshop is part of the DSI Causal Inference Emerging Data Science Emergent Data Science Program that aims to facilitate cross-disciplinary exchange, where applied researchers from different disciplines can present their research questions and methodological issues. In turn, data science and causality researchers explore new and existing methods while promoting their research agendas.

Join to foster collaborative exploration, amplifying the impact of causal inference and data science research on real-world policy challenges.

Speakers: 

• Melissa Dell, Professor – Andrew E. Furer Professor of Economics, Department of Economics, Harvard University
• Ashesh Rambachan – Silverman (1968) Family Career Development Assistant Professor of Economics at MIT
• Dean Knox – Assistant Professor, Operations, Information and Decisions, Assistant Professor of Statistics and Data Science, Wharton University of Pennsylvania