Quantitative Research Methods Workshop

The Whitney and Betty MacMillan Center for International and Area Studies is partnering with the 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 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.

This workshop meets on selected Thursdays from 12:00-1:15 p.m. in Room A002 at ISPS, 77 Prospect Street.

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Faculty Organizer: Fredrik Sävje, Assistant Professor of Political Science

Graduate Student Coordinators: Amy Basu and Trevor Incerti, Department of Political Science

Coordinator & Contact for Guest Travel: Pamela Greene

 Spring 2019 Schedule

DATE SPEAKER & TITLE
JAN 17 Yusuke Narita, Assistant Professor of Economics, Yale University
Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials
JAN 31 Matthew Blackwell, Associate Professor of Government, Harvard University
Telescope Matching: A Flexible Approach to Estimating Direct Effects
FEB 7 Emily Oster, Professor of Economics, Brown University
“Selection on Observed and Unobserved Variables in Observational and Randomized Analyses”  Link to Paper 1 | Link to Paper 2
FEB 21 Lihua Lei, Ph.D. Candidate in the Department of Statistics, UC Berkeley
“Empirical Assessment of Overlap in Observational Studies With Statistical Guarantees”
MAR 7 Kosuke Imai, Professor of Government and of Statistics, Harvard University
Matching Methods for Causal Inference with Time-Series Cross-Section Data
APR 18

Tara Slough, Ph.D. Candidate in Political Science, Columbia University
“On Theory and Identification: When and Why We Need Theory for Causal Identification”

APR 25 Cynthia Rudin, Associate Professor of Computer Science and Electrical and Computer Engineering, Duke University
“New Algorithms for Interpretable Machine Learning in High Stakes Decisions”
Background Reading: Link to Paper 1 | Link to Paper 2 | Link to Paper 3
MAY 2 Daniel A. Spielman, Sterling Professor of Computer Science, Professor of Statistics & Data Science, and of Mathematics, Yale University
“Connections between Discrepancy Theory and Experimental Design”
Background Reading: Link to Paper 1 | Link to Paper 2 | Link to Paper 3

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.

Past Seminar Series: