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. in ISPS Room A002 at 77 Prospect Street. Lunch will be provided.

This workshop is open to the Yale community only. To receive regular announcements and invitations, you must subscribe to the Quantitative Research Methods Workshop at the link below:


Faculty Organizers: P. Aronow, Associate Professor (Tenured) of Political Science and of Public Health (Biostatistics); and Joshua Kalla, Assistant Professor of Political Science and of Statistics & Data Science

Graduate Student Coordinator: Peter Boseong Yun, Department of Sociology

Staff Coordinators: Pamela Greene (Communications) and Megan Butler (Travel and Logistics)

 Schedule 2023-2024

OCT 5 Ashesh Rambachan, Assistant Professor of Economics, MIT
From Predictive Algorithms to Automatic Generation of Theoretical Anomalies
OCT 26 Pedro H. C. Sant’Anna, Associate Professor of Economics, Emory University, and Instructor at Causal Solutions
Difference-in-Differences with a Continuous Treatment” (with Brantly Callaway and Andrew Goodman-Bacon)
NOV 30 Amanda Coston, PhD Student in Machine Learning and Public Policy, Carnegie Mellon University
“Counterfactual Audit for Racial Bias in Police Traffic Stops”
DEC 7 Kirk Bansak, Assistant Professor of Political Science, UC Berkeley
Learning Under Random Distributional Shifts
JAN 25 Nathan Kallus, Associate Professor of Operations Research and Information Engineering and Cornell Tech, Cornell University
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent ObservationsRELATED PAPER 1 | RELATED PAPER 2
FEB 8 Jennifer Pan, the Sir Robert Ho Tung Professor of Chinese Studies, Professor of Communication, and by courtesy, of Political Science, Stanford University
“Narratives of Foreign Media Ecosystems in Chinese Social Media Discussions of the Russo-Ukrainian War”
APR 11 Jens Hainmueller, the Kimberly Glen Professor and Professor of Political Science, Stanford University
Does Access to Citizenship Confer Socio-economic Returns? Evidence from a Randomized Control Design
APR 25 Iavor I. Bojinov, Assistant Professor of Business Administration, Harvard Business School
“Using Experimentation to Manage Innovation Risk: An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits”

Past Seminar Series: