Introducing
Multi-day, in-person workshops on applied causal inference methods. Learn difference-in-differences, synthetic control, and panel data econometrics from the people who write the papers.
CodeChella is a traveling workshop series hosted by Mixtape Sessions in partnership with universities around the world. Each event is a concentrated, hands-on deep dive into modern causal inference methods — focused on practical implementation rather than just theory.
CodeChella is taught by Scott Cunningham (Baylor University), Kyle Butts (University of Arkansas), Mark Anderson (Montana State), and Daniel Rees (UC3M).
3–4 days of intensive, in-person instruction
The full DID pipeline — from basics through staggered timing, doubly robust estimators, and modern alternatives
Synthetic control & factor models — from introductory to advanced
Hands-on coding — every topic comes with live coding exercises and worked examples
Small-group format — ask questions, get feedback, and interact directly with the instructors
Open-sourced materials — everything is shared on our GitHub after the workshop
January 11–14, 2027
Instituto Tecnológico Autónomo de México (ITAM)
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