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Kosuke Imai is a Professor in the Department of Government and an affiliate at the Institute for Quantitative Social Science at Harvard University. He joined Harvard in 2018 after 15 years of teaching in the field of social sciences. Imai specializes in developing statistical methods and machine learning algorithms applicable to social science research. His areas of expertise include causal inference, computational social science, and survey methodology. Imai has authored the book 'Quantitative Social Science: An Introduction' published by Princeton University Press in 2017. Additionally, he leads the Algorithm-Assisted Redistricting Methodology Project (ALARM) and has served as an expert witness in high-profile legislative redistricting cases. In his role at Harvard, he has been involved in the Society for Political Methodology, serving as President from 2017 to 2019. His work frequently addresses complex challenges in the intersection of statistical analysis and political science, enhancing our understanding of how data-driven methods can inform policy and social interventions.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).