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

 Fall 2020 Schedule

SEP 24 Mohsen Bayati, Operations, Information & Technology, Stanford Graduate School of Business
Optimal Experimental Design for Staggered Rollouts
OCT 1 Rohini Pande, Economics, Yale University
“Does Revolution Work? Evidence from Nepal”
OCT 13*
Chao Cheng, Department of Biostatistics, Yale University
“An Evaluation of the Product Method for Estimating Natural Indirect Effect and Mediation Proportion in Epidemiological Studies”
*Cosponsored with the Center for Methods in Implementation and Prevention Science
Tuesday, October 13 at 12:00-1:00 PM on Zoom (link to Zoom information)
OCT 22
5:00 PM**
Aurore Delaigle, Statistics, The University of Melbourne
Estimating a Covariance Function from Fragments of Functional Data
**This workshop will begin at 5:00 pm US Eastern Time
OCT 29 D. Sunshine Hillygus, Political Science and Sanford School of Public Policy, Duke University
“The Methodological and Political Challenges of the 2020 Census”  Link to Background Paper
NOV 19 Adam Berinsky, Political Science, Massachusetts Institute of Technology (MIT)
DEC 2*
Eric Chen, Statistics and Data Science, Yale University
“A Bayesian Approach to Estimate Population Impact Fraction with Exposure Measurement Error under the Internal Validation Design”
*Cosponsored with the Center for Methods in Implementation and Prevention Science
Wednesday, December 2 at 10:00-11:00 AM on Zoom
DEC 3 Francesco Trebbi, Haas School of Business, University of California, Berkeley

Past Seminar Series: