MacMillan-CSAP Workshop on Quantitative Research Methods

The Whitney and Betty MacMillan Center for the International and Area Studies at Yale is partnering with the Yale Center for the Study of American Politics at ISPS to cosponsor a workshop focused on quantitative research methods. This workshop will feature cutting-edge research developing and employing quantitative methods in the social sciences. The workshop will host prominent and up-and-coming scholars in political science, who will present work on a range of topics, including experimental design, causal identification in observational studies, text analysis, and election forensics.

This workshop meets on selected Thursdays from 12:00-1:15 p.m. in Room A002 at ISPS, 77 Prospect StreetSIGN UP TO RECEIVE EMAIL ANNOUNCEMENTS

Faculty Organizers: Peter Aronow, Assistant Professor of Political Science and Biostatistics, and Alex Coppock, Assistant Professor of Political Science

Graduate Student Coordinator: Drew Stommes, Political Science

Coordinator & Contact for Guest Travel: Pamela Greene


SEP 14 Jennifer Pan, Communication, Political Science & Sociology, Stanford University
SEP 21 Wendy Tam Cho, Political Science, Statistics & Asian American Studies, UIUC
Massively Parallel Evolutionary Computation for Empowering Electoral Reform: Quantifying Gerrymandering via Multi-objective Optimization and Statistical Analysis
OCT 5 Brandon Stewart, Sociology & Politics, Princeton University
How to Make Causal Inferences Using Texts
OCT 12 Tim Armstrong, Economics, Yale University
“Finite-Sample Optimal Estimation and Infrerence on Average Treatment Effects Under Unconfoundedness”
OCT 26 Mushfiq Mobarak, Economics & Yale School of Management
“Demand Estimation with Strategic Complementarities, and an Application to Sanitation in Bangladesh”
NOV 2 Neal Beck, Professor of Politics and Jason Guo, Ph.D. Candidate, NYU
“Why Do We Still Estimate Linear Models and Should We Move On (to highly non-parametric models)?”
DEC 7 Miguel Hernan, Epidemiology & Biostatistics, Harvard School of Public Health
“How Do We Learn What Works When We Don’t Have an Experiment? An Algorithm for Casual Inference from Observational Data”
JAN 25 Doug Rivers, Political Science, Stanford University
FEB 15 Dylan Small, Statistics, The Wharton School, University of Pennsylvania
FEB 22 Justin Grimmer, Political Science, University of Chicago
MAR 8 Benjamin Olken, Economics, Massachusetts Institute of Technology (MIT)
APR 12 Erin Hartman,  Political Science & Statistics, University of California, Los Angeles (UCLA)
APR 19 Dominik Hangartner, Political Science, University of Zurich (UZH)
APR 26 Jennifer Hill, Applied Statistics & Data Science, New York University (NYU)

This workshop 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.