Kosuke Imai's Homepage

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Kosuke Imai (pronounced KOH-skeh ee-MY) is Edith and Benjamin Geisinger Professor of Government and 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. Imai’s research focuses on solving methodological problems that arise in social science and other fields by developing new statistical and machine learning methods. He is the author of Quantitative Social Science: An Introduction (Princeton University Press, 2017). In addition, Imai leads the Algorithm-Assisted Redistricting Methodology Project (ALARM) and served as an expert witness for several high-profile legislative redistricting cases. Outside of Harvard, he 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), GenAI and causal inference, human and algorithmic decision-making, fairness and racial disparity analysis, algorithmic redistricting analysis, data fusion and record linkage, census and privacy.

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