Quantitative Research Methods Workshop

The Quantitative Research Methods Workshop features cutting-edge research engaged in developing and employing quantitative methods in the social sciences. The workshop will host prominent and up-and-coming scholars in a variety of disciplines, who will present work on a range of topics including experimental design, causal identification in observational studies, text analysis, and election forensics.  The series is being sponsored by the ISPS Center for the Study of American Politics and The Whitney and Betty MacMillan Center for International and Area Studies at Yale with support from the Edward J. and Dorothy Clarke Kempf Fund.

The workshop meets on selected Thursdays from 12:00-1:15 p.m. Due to the COVID-19 pandemic, workshop sessions will be held virtually on Zoom.

This virtual workshop is open to the Yale community only. To receive Zoom information, you must subscribe to the Quantitative Research Methods Workshop at the link below:


Faculty Organizers: Peter Aronow, Professor of Political Science; and Josh Kalla, Assistant Professor of Political Science

Graduate Student Coordinator: Drew Stommes, Department of Political Science

Coordinator & Contact for Guest Travel: Pamela Greene

 Spring 2021 Schedule

FEB 4 Michal Kolesár, Department of Economics, Princeton University
“Confidence Intervals for Many Parameters”  Link to Related Paper
FEB 18 Eric J. Tchetgen Tchetgen, Statistics Department at Wharton, UPenn
“An Introduction to Proximal Causal Learning” Links to  PAPER 1 | PAPER 2
FEB 25 Dean Knox, Operations, Information and Decisions Department at Wharton, UPenn
“ε-sharp Bounds for Partially Observed Causal Processes: Testing for Racial Bias in Policing by Fusing Incomplete Records”
Cosponsored with the Leitner Political Economy Seminar
MAR 4 Macartan N. Humphreys, Department of Political Science, Columbia University
“CausalQueries: Make, Update, and Query Causal Models”
Cosponsored with the Leitner Political Economy Seminar
MAR 18 Guillaume Basse, Management Science & Engineering and Statistics, Stanford University
“Displacement Effects in a Hot Spot Policing Intervention in Medellin: Inference and Pitfalls”
APR 1 Peter Cohen, Operations Research Center, MIT
Gaussian Prepivoting for Finite Population Causal Inference
APR 22 Elizabeth Tipton, Department of Statistics, Northwestern University
Designing Randomized Trials to Understand Treatment Effect Heterogeneity
APR 29 Bin Yu, Statistics and Electrical Engineering & Computer Sciences, UC Berkeley
“Veridical Data Science for Biomedical Discovery: Detecting epistatic interactions with epiTree” Links to PAPER 1 | PAPER 2
MAY 6 Erik Snowberg, Vancouver School of Economics, University of British Columbia
Cosponsored with the Leitner Political Economy Seminar

Past Seminar Series: