Kosuke Imai's Homepage

 

Welcome

Kosuke Imai (pronounced K$ \bar{\text{o}}^\prime\cdot$sk$ \bar{\text{a}}$) is Professor in the Department of Government and the Department of Statistics at Harvard University. He is also an affiliate of the Institute for Quantitative Social Science where his primary office is located. Before moving to Harvard in 2018, Imai taught at Princeton University for 15 years where he was the founding director of the Program in Statistics and Machine Learning. Imai specializes in the development of statistical methods and machine learning algorithms and their applications to social science research. His areas of expertise include causal inference, computational social science, and survey methodology. Imai leads the Algorithm-Assisted Redistricting Methodology Project (ALARM) and served as an expert witness for several high-profile legislative redistricting cases. In addition, he is the author of Quantitative Social Science: An Introduction (Princeton University Press, 2017). Outside of Harvard, Imai served as the President of the Society for Political Methodology from 2017 to 2019.

Contact Information
1737 Cambridge Street
Institute for Quantitative Social Science
Harvard University
Cambridge, MA 02138
Phone: 617-384-6778
Email: Imai at Harvard dot Edu
URL: https://imai.fas.harvard.edu
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News
3.13.24. Talk: Quantitative Collaborative, University of Virginia
3.11.24. Paper: ``The Cram Method for Efficient Simultaneous Learning and Evaluation..'' (with Zejang Jia and Michael Li) is now available
3.07.24. Article: ``Census Officials Must Constructively Engage with Independent Evaluations'' has been published in Proceedings of the National Academy of Sciences
2.08.24. Talk: Department of Political Science, Ohio State University
1.19.24. Talk: Department of Statistics, University of Florida
1.11.24. Talk: MENA / Asian Political Methodology Conference
1.08.24. Talk: Japanese Society for Quantitative Political Science Conference
1.05.24. Talk: Nagaoka University of Technology
12.11.23. Article: ``Measuring and Modeling Neighborhoods.'' (with Cory McCartan and Jacob Brown) has been accepted for publication in American Political Science Review
12.07.23. Paper: ``Design-based inference for generalized network experiments with stochastic interventions.'' (with Ambarish Chattopadhyay and Jose R. Zubizarreta) is now available
12.06.23. Article: ``Making Differential Privacy Work for Census Data Users'' (with Cory McCartan and Tyler Simko) has been published in Harvard Data Science Review
12.05.23. Article: ``Policy Learning with Asymmetric Utilities.'' (with Eli Ben-Michael and Zhichao Jiang) has been accepted for publication in Journal of the American Statistical Association
11.30.23. Article: ``Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis.'' (with Dae Woong Ham and Lucas Janson) has been accepted for publication in Political Analysis
11.15.23. Honor: Highly cited researcher in social sciences, recognized by Clarivate
11.07.23. Paper: ``Individualized Policy Evaluation and Learning under Clustered Network Interference.'' (with Yi Zhang) is now available
11.03.23. Talk: Equity and Algorithms Series, Digital Scholarship Support Group, Harvard University
11.01.23. Article: ``Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans.'' (with Cory McCartan) has been published in Annals of Applied Statistics
10.24.23. Talk: Simons Laufer Mathematical Sciences Institute
10.20.23. Talk: Department of Political Science, University of Wisconsin, Madison
10.18.23. Talk: Department of Statistics, University of Wisconsin, Madison
10.12.23. Paper: ``Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning.'' (with Michael Lingzhi Li) is now available
09.22.23. Talk: A Convening: Race, Reform, and Multiracial Democracy. Harvard Law School
09.12.22. Article: ``Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments.'' (with Zhichao Jiang and Anup Malani) has been published in Biometrics
09.10.23. Article: ``Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study.'' (with Alex Tarr and June Hwang) has been published in Political Analysis
09.08.23. Keynote Talk: Promises and Limits of Inferring Protected-Class Data for Disparate Impact Testing of AI Systems
09.06.23. Class: I'm teaching Gov2003/Stat286 Causal Inference with Applications this fall semester
09.02.23. Talk: Annual Meeting of the American Political Science Association
07.19.23. Talk: Department of Economics, Brown University
07.19.23. Article: ``Matching Methods for Causal Inference with Time-Series Cross-Sectional Data..'' has been published in American Journal of Political Science
07.10.23. Discussant: The Society for Political Methodology. Stanford University
07.01.23. Panelist: Ezra Vogel Forum, Aichi University
06.24.23. Talk: Japanese Society for Quantitative Political Science, Fukuoka University
06.22.23. Talk: Ministry of Internal Affairs and Communications, Japan
06.13.23. Article: ``Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition.'' (with Christopher Kenny, Cory McCartan, Tyler Simko, and Shiro Kuriwaki) has been published in Proceedings of the National Academy of Sciences
06.13.23. Paper: ``Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods.'' (with Christopher Kenny, Shiro Kuriwaki, Cory McCartan, and Tyler Simko) is now available
06.08.23. Article: ``Principal Fairness for Human and Algorithmic Decision-Making.'' (with Zhichao Jiang) has been published in Statistical Science
06.05.23. Paper: ``Priming bias versus post-treatment bias in experimental designs.'' (with Matthew Blackwell, Jacob R. Brown, Sophie Hill, and Teppei Yamamoto) is now available
06.02.23. Article: ``Researchers need better access to US Census data.'' (with Cory McCartan and Tyler Simko) has been published in Science.
06.01.23. Media: ``How Math Has Changed the Shape of Gerrymandering.'' is published in Quanta Magazine
05.20.23. Article: ``Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment.'' (with Zhichao Jiang, D. James Greiner, Ryan Halen, and Sooahn Shin) has been published as a discussion paper in Journal of the Royal Statistical Society, Series A (Statistics in Society).
05.20.23. Article: ``Race and ethnicity data for first, middle, and last names.'' (with Evan Rosenman and Santiago Olivella) has been published in Scientific Data
05.08.23. Talk: Department of Operations Research and Financial Engineering, Princeton University
04.19.23. Talk: Fred Hutchinson Cancer Center
04.12.23. Talk: Federal Deposit Insurance Corporation
04.08.23. Article: ``Experimental Evaluation of Individualized Treatment Rules.'' (with Michael Li) has been published in Journal of the American Statistical Association
03.13.23. Talk: Hariri Institute Distinguished Speaker Series, Boston University
03.10.23. Talk: Interdisciplinary Seminar on Social Science Methodology and Interdisciplinary Seminar in Quantitative Methods, University of Michigan
03.09.23. Keynote Talk: Michigan Student Symposium for Interdisciplinary Statistical Sciences, University of Michigan
03.06.23. Paper: ``Estimating Racial Disparities When Race is Not Observed.'' (with Cory McCartan, Jacob Goldin, and Daniel E. Ho)
© Kosuke Imai