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. 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.

His current research interests include: data-driven policy learning and evaluation, causal inference with high-dimensional and unstructured treatments (e.g., texts, images, videos, and maps), fairness and racial disparity analysis, algorithmic redistricting analysis, data fusion and record linkage, census and privacy.

During the academic year 2024-2025, I am spending my sabbatical at Nuffield College, University of Oxford.

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
07.24.25. Methods Lecture: NBER Summer Institute
07.17.25. Talk: Society for Political Methodology Summer Meeting
07.08.25. Paper: ``GenAI Powered Inference.'' is now available
07.08.25. Article: ``Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War.'' has been accepted for publication in Journal of the Royal Statistical Society, Series A (Statistics in Society)
07.07.25. Article: ``Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012.'' has been accepted for publication in Scientific Data.
07.06.25. Talk: Japanese Society for Quantitative Political Science, Summer Meeting
07.04.25. Talk: University of Tokyo
06.25.25. Keynote Talk: Simon Fraser University
06.20.25. Article: ``Estimating Racial Disparities When Race is Not Observed.'' has been accepted for publication in Journal of the American Statistical Association
06.16.25. Talk: University of Vienna
06.10.25. Discussant: Online Causal Inference Seminar
06.04.25. Distinguished Lecture: University of Konstanz
05.29.25. Article: ``Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis.'' has been published in Annals of Applied Statistics
05.20.25. Talk: Oxford Computational Political Science Group
05.16.25. Talk: University of Cambridge
05.15.25. Paper: ``Statistical Decision Theory with Counterfactual Loss.'' is now available
04.30.25. Talk: Copenhagen Business School
04.25.25. Talk: Operations Research Center, Massachusetts Institute of Technology
04.07.25. Keynote Talk: Political Methodology Europe Conference, London School of Economics and Political Science
04.03.25. Talk: Guest Speaker, Oxford Spring School in Advanced Research Methods, University of Oxford
04.01.25. Article: ``Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment.'' has been accepted for publication in Journal of the American Statistical Association
04.01.25. Talk: Connected Politics Seminar, University College of Dublin
03.31.25. Talk: Political Science Seminar, Trinity College of Dublin
03.19.25. Talk: CIS Seminar, ETH and University of Zurich
03.14.25. Talk: Statistics Seminar, Imperial College of London
03.13.25. Talk: Distinguished Seminar, Department of Statistics, University of Oxford
03.07.25. Talk: WBZ Berlin Social Science Center
03.06.25. Talk: Hertie School
03.04.25. Talk: Distinguished Lecture, University of Mannheim
02.26.25. Talk: Statistics Seminar, Lancaster University
02.11.25. Talk: Political Science Seminar, University of Oxford
02.07.25. Talk: Econometrics Seminar, University of Oxford
02.06.25. Article: ``Estimating Average Treatment Effects with Support Vector Machines.'' has been published in Statistics in Medicine
02.06.25. Talk: Nuffield College, University of Oxford
02.04.25. Talk: University of Essex
01.24.25. Talk: London School of Economics and Political Science
01.21.25. Talk: Google DeepMind
01.09.25. Talk: Victoria University of Wellington
01.05.25. Talk: Japanese Society for Quantitative Political Science Conference
12.18.24. Article: ``Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments.'' has been published in Journal of Business & Economic Statistics
12.17.24. Talk: Royal Statistical Society, UK
12.13.24. Article: ``Priming bias versus post-treatment bias in experimental designs..'' has been accepted for publication in Political Analysis
12.11.24. Talk: University of College London, UK
12.06.24. Talk: University of Oxford, UK
12.03.24. Article: ``A Summer Bridge Program for First-Generation Low-Income Students Stretches Academic Ambitions with No Adverse Impacts on GPA.'' has been published in Proceedings of the National Academy of Sciences
12.03.23. Article: ``Policy Learning with Asymmetric Counterfactual Utilities.'' has been published in Journal of the American Statistical Association
11.20.24. Award: Highly Cited Researcher by Clarivate
11.18.24. Article: ``Measuring and Modeling Neighborhoods.'' has been published in American Political Science Review
11.11.24. Talk: University of Tokyo, Japan
11.08.24. Talk: Waseda University, Japan
11.05.24. Talk: University College Dublin, Ireland
10.31.24. Talk: University of Louvain, Belgium
10.27.24. Paper: ``Longitudinal Causal Inference with Selective Eligibility'' is now available
10.24.24. Talk: University of Manchester, UK
10.13.24. Talk: University of Aix-Marseille, France
10.08.24. Talk: University of Fribourg, Switzerland
10.05.24. Article: ``Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis.'' has been published in Political Analysis
10.02.24. Talk: European Federation of Statisticians in the Pharmaceutical Industry
09.27.24. Talk: Florence, Italy
09.23.24. Talk: Institute for Quantitative Social Science, Harvard University
09.16.24. Talk: University of Pennsylvania
08.05.24. Talk: Joint Statistical Meetings
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