|
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 |
Ph.D. in Political Science, Harvard
University (1999 - 2003). |
A.M. in Statistics, Harvard
University (2000 - 2002). |
B.A. in Liberal Arts, The University of
Tokyo (1994 - 1998). |
Professor, Department
of Government and Department of Statistics, Harvard
University (2018 - present) |
Academic Visitor, Nuffield
College, University of
Oxford (2024 - 2025) |
Professor, Department
of Politics and Center for Statistics and
Machine Learning, Princeton
University (2013 - 2018) |
Founding
Director, Program in
Statistics and Machine Learning (2013 -
2017) |
Professor of Visiting
Status, Graduate
Schools of Law and
Politics, The
University of Tokyo (2016 - 2023) |
Associate Professor, Department
of Politics, Princeton
University (2012 - 2013) |
Assistant Professor, Department
of Politics, Princeton
University (2004 - 2012) |
Visiting Researcher, Faculty of Economics,
The University of Tokyo (August, 2006) |
Instructor, Department of Politics,
Princeton
University (2003 - 2004) |
Guggenheim
Fellowship (2024). |
Highly Cited Researcher for
``production of multiple highly cited papers that rank in the top 1%
by citations for field and year in Web of Science,'' awarded by
Clarivate Analytics (cross-field, 2018, 2019, 2020, 2021, 2025;
social sciences, 2022, 2023, 2024). |
Graduate Student Association Faculty
Mentorship Award for outstanding graduate student mentorship,
awarded by the Graduate Student Association, Department of
Government, Harvard University (2023). |
Statistical Software Award for
developing statistical software that makes a significant research
contribution, for ``redist: Simulation
Methods for Legislative Redistricting,'' awarded by
the Society for Political Methodology (2022). |
Honarable Mention, Best Conference
Paper Award, for ``A Statistical Model of
Bipartite Networks: Application to Cosponsorship in the United
States Senate,'' awarded by Political Network
Section, American Political Science Association
(2022). |
James
Francis Hannan Lectureship. Department of Statistics and
Probability, Michigan State University (declined;
2022). |
Invited to read ``Experimental Evaluation of
Computer-Assisted Human Decision-Making: Application to Pretrial
Risk Assessment Instrument.'' before the Royal
Statistical Society Research Section, London (2022).
|
Excellence in Mentoring Award,
awarded by the Society for Political Methodology (2021).
|
Statistical Software Award for
developing statistical software that makes a significant research
contribution, for ``fastLink: Fast Probabilistic Record
Linkage,'' awarded by the Society for Political
Methodology (2021). |
President, the Society of
Political Methodology (2017-2019). Vice President and
President-elect (2015-2017). |
Elected Fellow, the Society of
Political Methodology (2017). |
The Nils Petter Gleditsch Article of
the Year Award, awarded by Journal of Peace Research
(2017). |
Statistical Software Award for
developing statistical software that makes a significant research
contribution, for ``mediation: R Package for Causal
Mediation Analysis,'' awarded by the Society for
Political Methodology (2015).
|
Outstanding Reviewer Award for
Journal of Educaional and Behavioral Statistics, given by the
American Educational Research Association (2014). |
The Stanley Kelley, Jr. Teaching
Award, given by the Department of Politics, Princeton
University (2013). |
Pi Sigma Alpha Award for the
best paper presented at the 2012 Midwest Political Science
Association annual meeting, for ``Explaining Support for Combatants
during Wartime: A Survey Experiment in Afghanistan,''
awarded by the Midwest Political Science Association
(2013). |
Invited to read ``Experimental Designs for
Identifying Causal Mechanisms'' before the Royal
Statistical Society Research Section, London (2012).
|
Inaugural recipient of the Emerging
Scholar Award for a young scholar making exceptional
contributions to political methodology who is within ten years of
their terminal degree, awarded by the Society for Political
Methodology (2011).
|
Political Analysis Editors' Choice
Award for an article providing an especially significant
contribution to political methodology, for ``Estimation of Heterogeneous Treatment
Effects from Randomized Experiments, with Application to the Optimal
Planning of the Get-out-the-vote Campaign,'' awarded by
the Society for Political Methodology and Oxford University Press
(2011). |
The Tom Ten Have Memorial
Award for the best poster presented at the 2011 Atlantic
Causal Inference Conference, for ``Identifying Treatment Effect
Heterogeneity through Optimal Classification and Variable
Selection,'' awarded by the Departments of
Biostatistics and Statistics, University of Michigan (2011).
|
New
Hot Paper, for the most-cited paper in the field
of Economics & Business in the last two months among papers
published in the last year, for
``Misunderstandings among
Experimentalists and Observationalists about Causal
Inference,'' named by Thomson Reuters' ScienceWatch
(2009). |
Warren Miller Prize for the
best article published in Political Analysis, for ``Matching as Nonparametric
Preprocessing for Reducing Model Dependence in Parametric Causal
Inference,'' awarded by the Society for Political
Methodology and Oxford University Press (2008). |
Fast
Breaking Paper for the article with the largest
percentage increase in citations among those in the top 1% of total
citations across the social sciences in the last two years, for ``Matching as Nonparametric
Preprocessing for Reducing Model Dependence in Parametric Causal
Inference,'' named by Thomson Reuters' ScienceWatch
(2008). |
Pharmacoepidemiology and Drug Safety
Outstanding Reviewer Recognition (2008). |
Miyake Award for the best
political science article published in 2005, for ``Do Get-Out-The-Vote Calls
Reduce Turnout? The Importance of Statistical Methods for Field
Experiments,'' awarded by the Japanese Political
Science Association (2006). |
Toppan Prize for the best
dissertation in political science, for Essays on Political
Methodology, awarded by Harvard University (2004). |
Llaudet, Elena, and Kosuke Imai
(2022).
``Data Analysis for Social Science: A Friendly and Practical Introduction.''
Princeton University Press. Translated into Japanese (2025).
|
Imai, Kosuke
(2017).
``Quantitative Social Science: An Introduction.''
Princeton University Press. Translated into Japanese (2018), Chinese (2020), and Korean (2021).
Stata version (2021) with Lori D. Bougher.
Tidyverse version (2022) with Nora Webb Williams.
|
Jia, Zeyang, Eli Ben-Michael, and Kosuke Imai
``Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War.''
Journal of the Royal Statistical Society, Series A (Statistics in Society), Forthcoming.
|
Lo, Adeline, Santiago Olivella, and Kosuke Imai
``A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate.''
Political Analysis, Forthcoming.
|
McCartan, Cory, Christopher Kenny, Tyler Simko, Emma Ebowe, Michael Zhao, and Kosuke Imai
``Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors.''
American Political Science Review, Forthcoming.
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Blackwell, Matthew, Jacob R. Brown, Sophie Hill, Kosuke Imai, and Teppei Yamamoto
(2025).
``Priming bias versus post-treatment bias in experimental designs.''
Political Analysis, Vol. 33, No. 4 (October), pp. 361-377.
|
Ben-Michael, Eli, D. James Greiner, Kosuke Imai, and Zhichao Jiang
(2025).
``Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment.''
Journal of the American Statistical Association, Vol. 120, No. 551, pp. 1386-1399.
|
Ben-Michael, Eli, D. James Greiner, Melody Huang, Kosuke Imai, Zhichao Jiang, Sooahn Shin
(2025).
``Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies.''
Proceedings of the National Academy of Sciences, Vol. 122, No. 38, e2505106122.
|
Breuer, Adam, Bryce J. Dietrich, Michael H. Crespin, Matthew Butler, J.A. Pyrse, Kosuke Imai
(2025).
``Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012.''
Scientific Data, Vol. 12, No. 1552.
|
Goplerud, Max, Kosuke Imai, Nicole E. Pashley
(2025).
``Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis.''
Annals of Applied Statistics, Vol. 19, No. 2 (June), pp. 866-888.
|
Imai, Kosuke and Michael Lingzhi Li
(2025).
``Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments.''
Journal of Business & Economic Statistics, Vol. 43, No. 1, pp. 256-268.
|
McCartan, Cory, Robin Fisher, Jacob Goldin, Daniel E. Ho, Kosuke Imai
(2025).
``Estimating Racial Disparities When Race is Not Observed.''
Journal of the American Statistical Association, Vol. 120, No. 552, pp. 2140-2153.
|
Tarr, Alexander and Kosuke Imai
(2025).
``Estimating Average Treatment Effects with Support Vector Machines.''
Statistics in Medicine, Vol. 44, No. 5, e70006.
|
McCartan, Cory, Jacob Brown, and Kosuke Imai
(2024).
``Measuring and Modeling Neighborhoods.''
American Political Science Review, Vol. 118, No. 4 (November), pp. 1966-1985.
|
Ham, Dae Woong, Kosuke Imai, and Lucas Janson
(2024).
``Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis.''
Political Analysis, Vol. 32, No. 3 (July), pp. 329-344.
|
Johnson, Rebecca A., Tyler Simko, and Kosuke Imai
(2024).
``A Summer Bridge Program for First-Generation Low-Income Students Stretches Academic Ambitions with No Adverse Impacts on GPA.''
Proceedings of the National Academy of Sciences, Vol. 121, No. 50, e2404924121.
|
Ben-Michael, Eli, Kosuke Imai, and Zhichao Jiang
(2024).
``Policy Learning with Asymmetric Counterfactual Utilities.''
Journal of the American Statistical Association, Vol. 119, No. 548, pp. 3045-3058.
|
Kenny, Christopher, Cory McCartan, Tyler Simko, and Kosuke Imai
(2024).
``Census officials must constructively engage with independent evaluations.''
Proceedings of the National Academy of Sciences (Letter), Vol. 121, No. 11, e2321196121.
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Li, Michael Lingzhi and Kosuke Imai
(2024).
``Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules.''
Journal of Causal Inference, Vol 12, No. 1, pp. 1-20. Special Issue on Neyman (1923) and its influences on causal inference
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Kenny, Christopher, Cory McCartan, Shiro Kuriwaki, Tyler Simko, and Kosuke Imai
(2024).
``Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods.''
Science Advances, Vol 10, No. 18 (May), pp. 1-13.
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Eshima, Shusei, Kosuke Imai, and Tomoya Sasaki
(2024).
``Keyword-Assisted Topic Models.''
American Journal of Political Science, Vol. 68, No. 2 (April), pp. 730-750.
|
McCartan, Cory, Tyler Simko, and Kosuke Imai
(2024).
``Rejoinder: We Can Improve the Usability of the Census Noisy Measurements File.''
Harvard Data Science Review, Vol. 6, No. 2 (Spring).
|
McCartan, Cory and Kosuke Imai
(2023).
``Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans.''
Annals of Applied Statistics, Vol. 17, No. 4 (December), pp. 3300-3323.
|
McCartan, Cory, Tyler Simko, and Kosuke Imai
(2023).
``Making Differential Privacy Work for Census Data Users.''
Harvard Data Science Review, Vol. 5, No. 4 (Fall).
|
Tarr, Alexander, June Hwang, and Kosuke Imai
(2023).
``Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study.''
Political Analysis, Vol. 31, No. 4 (October), pp. 554-574.
|
Jiang, Zhichao, Kosuke Imai, and Anup Malani
(2023).
``Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments.''
Biometrics, Vol. 79, No. 3 (September), pp. 2370-2381.
|
Imai, Kosuke and Zhichao Jiang
(2023).
``Principal Fairness for Human and Algorithmic Decision-Making.''
Statistical Science, Vol. 38, No. 2 (July), pp317-328.
|
Imai, Kosuke, In Song Kim, and Erik Wang
(2023).
``Matching Methods for Causal Inference with Time-Series Cross-Sectional Data.''
American Journal of Political Science, Vol. 67, No. 3 (July), pp. 587-605.
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Fan, Jianqing, Kosuke Imai, Inbeom Lee, Han Liu, Yang Ning, and Xiaolin Yang
(2023).
``Optimal Covariate Balancing Conditions in Propensity Score Estimation.''
Journal of Business & Economic Statistics, Vol. 41, No. 1, pp. 97-110.
|
Imai, Kosuke and Michael Lingzhi Li
(2023).
``Experimental Evaluation of Individualized Treatment Rules.''
Journal of the American Statistical Association, Vol. 118, No. 541, pp. 242-256.
|
Kenny, Christopher T., Cory McCartan, Tyler Simko, Shiro Kuriwaki, and Kosuke Imai
(2023).
``Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral Competition.''
Proceedings of the National Academy of Sciences, Vol. 120, No. 25, e2217322120.
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McCartan, Cory, Tyler Simko, and Kosuke Imai
(2023).
``Researchers need better access to US Census data.''
Science, Vol. 380, No. 6648 pp. 902-903.
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Rosenman, Evan T.R., Santiago Olivella, and Kosuke Imai
(2023).
``Race and ethnicity data for first, middle, and last names.''
Scientific Data, Vol. 10, No. 299, pp. 1-11.
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Imai, Kosuke, Zhichao Jiang, D. James Greiner, Ryan Halen, and Sooahn Shin
(2023).
``Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment.''
(with discussion) Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 186, No. 2 (April), pp. 167-189. Read before the Royal Statistical Society.
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Kenny, Christopher T., Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, and Kosuke Imai
(2023).
``Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System.''
Harvard Data Science Review, Special Issue 2: Dierential Privacy for the 2020 U.S. Census (January).
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Imai, Kosuke, Santiago Olivella, and Evan T.R. Rosenman
(2022).
``Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements.''
Science Advances, Vol. 8, No. 49 (December), pp. 1-10.
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Papadogeorgou, Georgia, Kosuke Imai, Jason Lyall, and Fan Li
(2022).
``Causal Inference with Spatio-temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq.''
Journal of the Royal Statistical Society, Series B (Statistical Methodology), Vol. 84, No. 5 (November), pp. 1969-1999.
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McCartan, Cory, Christopher T. Kenny, Tyler Simko, George Garcia III, Kevin Wang, Melissa Wu, Shiro Kuriwaki, and Kosuke Imai
(2022).
``Simulated redistricting plans for the analysis and evaluation of redistricting in the United States.''
Scientific Data, Vol. 9, No. 689, pp. 1-10.
|
Olivella, Santiago, Tyler Pratt, and Kosuke Imai
(2022).
``Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts.''
Journal of the American Statistical Association, Vol. 117, No. 539, pp. 1068-1081.
|
de la Cuesta, Brandon, Naoki Egami, and Kosuke Imai
(2022).
``Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution.''
Political Analysis, Vol. 30, No. 1 (January), pp. 19-45.
|
Kenny, Christopher T., Shiro Kuriwaki, Cory McCartan, Evan T.R. Rosenman, Tyler Simko, and Kosuke Imai
(2021).
``The Use of Differential Privacy for Census Data and its Impact on Redistricting: The Case of the 2020 U.S. Census.''
Science Advances, Vol. 7, No. 7 (October), pp. 1-17.
|
Imai, Kosuke and In Song Kim
(2021).
``On the Use of Two-way Fixed Effects Regression Models for Causal Inference with Panel Data.''
Political Analysis, Vol. 29, No. 3 (July), pp. 405-415.
|
Imai, Kosuke and James Lo
(2021).
``Robustness of Empirical Evidence for the Democratic Peace: A Nonparametric Sensitivity Analysis.''
International Organization, Vol. 75, No. 3 (Summer), pp. 901-919.
|
Imai, Kosuke, Zhichao Jiang, and Anup Malani
(2021).
``Causal Inference with Interference and Noncompliance in Two-Stage Randomized Experiments.''
Journal of the American Statistical Association, Vol. 116, No. 534, pp. 632-644.
|
Imai, Kosuke, and Zhichao Jiang
(2020).
``Identification and Sensitivity Analysis of Contagion Effects in Randomized Placebo-Controlled Trials.''
Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 183, No. 4 (October), pp. 1637-1657.
|
Ning, Yang, Sida Peng, and Kosuke Imai
(2020).
``Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score.''
Biometrika, Vol. 107, No. 3 (September), pp. 533-554.
|
Fifield, Benjamin, Kosuke Imai, Jun Kawahara, and Christopher T. Kenny
(2020).
``The Essential Role of Empirical Validation in Legislative Redistricting Simulation.''
Statistics and Public Policy, Vol. 7, No. 1, pp 52-68.
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Fifield, Benjamin, Michael Higgins, Kosuke Imai, and Alexander Tarr
(2020).
``Automated Redistricting Simulation Using Markov Chain Monte Carlo.''
Journal of Computational and Graphical Statistics, Vol. 29, No. 4, pp. 715-728.
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Chou, Winston, Kosuke Imai, and Bryn Rosenfeld
(2020).
``Sensitive Survey Questions with Auxiliary Information.''
Sociological Methods & Research, Vol. 49, No. 2 (May), pp. 418-454.
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Imai, Kosuke, Gary King, and Carlos Velasco Rivera
(2020).
``Do Nonpartisan Programmatic Policies Have Partisan Electoral Effects? Evidence from Two Large Scale Randomized Experiments.''
Journal of Politics, Vol. 82, No. 2 (April), pp. 714-730.
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Zhao, Shandong, David A. van Dyk, and Kosuke Imai
(2020).
``Propensity-Score Based Methods for Causal Inference in Observational Studies with Non-Binary Treatments.''
Statistical Methods in Medical Research, Vol. 29, No. 3 (March), pp. 709-727.
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Lyall, Jason, Yang-Yang Zhou, and Kosuke Imai
(2020).
``Can Economic Assistance Shape Combatant Support in Wartime? Experimental Evidence from Afghanistan.''
American Political Science Review, Vol. 114, No. 1 (February), pp. 126-143.
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Kim, In Song, Steven Liao, and Kosuke Imai
(2020).
``Measuring Trade Profile with Granular Product-level Trade Data.''
American Journal of Political Science, Vol. 64, No. 1 (January), pp. 102-117.
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Blair, Graeme, Winston Chou, and Kosuke Imai
(2019).
``List Experiments with Measurement Error.''
Political Analysis, Vol. 27, No. 4 (October), pp. 455-480.
|
Egami, Naoki, and Kosuke Imai
(2019).
``Causal Interaction in Factorial Experiments: Application to Conjoint Analysis.''
Journal of the American Statistical Association, Vol. 114, No. 526 (June), pp. 529-540.
|
Enamorado, Ted, Benjamin Fifield, and Kosuke Imai
(2019).
``Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records.''
American Political Science Review, Vol. 113, No. 2 (May), pp. 353-371.
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Imai, Kosuke and In Song Kim
(2019).
``When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?.''
American Journal of Political Science, Vol. 63, No. 2 (April), pp. 467-490.
|
Enamorado, Ted, and Kosuke Imai
(2019).
``Validating Self-reported Turnout by Linking Public Opinion Surveys with Administrative Records.''
Public Opinion Quarterly, Vol. 83, No. 4 (Winter), pp. 723-748.
|
Imai, Kosuke, and Zhichao Jiang
(2018).
``A Sensitivity Analysis for Missing Outcomes Due to Truncation-by-Death under the Matched-Pairs Design.''
Statistics in Medicine, Vol. 37, No. 20 (September), pp. 2907-2922.
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Benjamin, Daniel J., et al
(2018).
``Redefine Statistical Significance.''
Nature Human Behaviour. Vol. 2, No. 1, pp. 6-10.
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Fong, Christian, Chad Hazlett, and Kosuke Imai
(2018).
``Covariate Balancing Propensity Score for a Continuous Treatment: Application to the Efficacy of Political Advertisements.''
Annals of Applied Statistics, Vol. 12, No. 1, pp. 156-177.
|
Hirose, Kentaro, Kosuke Imai, and Jason Lyall
(2017).
``Can Civilian Attitudes Predict Insurgent Violence?: Ideology and Insurgent Tactical Choice in Civil War.''
Journal of Peace Research, Vol. 51, No. 1 (January), pp. 47-63. Winner of the Nils Petter Gleditsch Article of the Year Award. Story by Princeton's communication office.
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Imai, Kosuke, James Lo, and Jonathan Olmsted
(2016).
``Fast Estimation of Ideal Points with Massive Data.''
American Political Science Review, Vol. 110, No. 4 (December), pp. 631-656.
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Rosenfeld, Bryn, Kosuke Imai, and Jacob Shapiro
(2016).
``An Empirical Validation Study of Popular Survey Methodologies for Sensitive Questions.''
American Journal of Political Science, Vol. 60, No. 3 (July), pp. 783-802.
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Imai, Kosuke and Kabir Khanna
(2016).
``Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Record.''
Political Analysis, Vol. 24, No. 2 (Spring), pp. 263-272.
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Blair, Graeme, Kosuke Imai, and Yang-Yang Zhou
(2015).
``Design and Analysis of the Randomized Response Technique.''
Journal of the American Statistical Association, Vol. 110, No. 511 (September), pp. 1304-1319.
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Imai, Kosuke and Marc Ratkovic
(2015).
``Robust Estimation of Inverse Probability Weights for Marginal Structural Models.''
Journal of the American Statistical Association, Vol. 110, No. 511 (September), pp. 1013-1023. (lead article)
|
Lyall, Jason, Yuki Shiraito, and Kosuke Imai
(2015).
``Coethnic Bias and Wartime Informing.''
Journal of Politics, Vol. 77, No. 3 (July), p. 833-848.
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Imai, Kosuke, Bethany Park, and Kenneth Greene
(2015).
``Using the Predicted Responses from List Experiments as Explanatory Variables in Regression Models.''
Political Analysis, Vol. 23, No. 2 (Spring), pp. 180-196. Translated in Portuguese and Reprinted in Revista Debates Vol. 9, No 1.
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Blair, Graeme, Kosuke Imai, and Jason Lyall
(2014).
``Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan.''
American Journal of Political Science, Vol. 58, No. 4 (October), pp. 1043-1063.
|
Tingley, Dustin, Teppei Yamamoto, Luke Keele, and Kosuke Imai
(2014).
``mediation: R Package for Causal Mediation Analysis.''
Journal of Statistical Software, Vol. 59, No. 5 (August), pp. 1-38.
|
Imai, Kosuke and Marc Ratkovic
(2014).
``Covariate Balancing Propensity Score.''
Journal of the Royal Statistical Society, Series B (Statistical Methodology), Vol. 76, No. 1 (January), pp. 243-263.
|
Lyall, Jason, Graeme Blair, and Kosuke Imai
(2013).
``Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan.''
American Political Science Review, Vol. 107, No. 4 (November), pp. 679-705. Winner of the Pi Sigma Alpha Award.
|
Imai, Kosuke and Teppei Yamamoto
(2013).
``Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments.''
Political Analysis, Vol. 21, No. 2 (Spring), pp. 141-171. (lead article)
|
Imai, Kosuke and Marc Ratkovic
(2013).
``Estimating Treatment Effect Heterogeneity in Randomized Program Evaluation.''
Annals of Applied Statistics, Vol. 7, No. 1 (March), pp. 443-470. Winner of the Tom Ten Have Memorial Award. Reprinted in Advances in Political Methodology, R. Franzese, Jr. ed., Edward Elger, 2017.
|
Imai, Kosuke, Dustin Tingley, and Teppei Yamamoto
(2013).
``Experimental Designs for Identifying Causal Mechanisms.''
(with discussions) Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 176, No. 1 (January), pp. 5-51. (lead article) Read before the Royal Statistical Society in March, 2012.
|
Imai, Kosuke, and Dustin Tingley
(2012).
``A Statistical Method for Empirical Testing of Competing Theories.''
American Journal of Political Science, Vol. 56, No. 1 (January), pp. 218-236.
|
Blair, Graeme and Kosuke Imai
(2012).
``Statistical Analysis of List Experiments.''
Political Analysis, Vol. 20, No. 1 (Winter), pp. 47-77.
|
Imai, Kosuke, Luke Keele, Dustin Tingley, and Teppei Yamamoto
(2011).
``Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies.''
American Political Science Review, Vol. 105, No. 4 (November), pp. 765-789. Reprinted in Advances in Political Methodology, R. Franzese, Jr. ed., Edward Elger, 2017.
|
Bullock, Will, Kosuke Imai, and Jacob Shapiro
(2011).
``Statistical Analysis of Endorsement Experiments: Measuring Support for Militant Groups in Pakistan.''
Political Analysis, Vol. 19, No. 4 (Autumn), pp. 363-384. (lead article)
|
Ho, Daniel E., Kosuke Imai, Gary King, and Elizabeth Stuart
(2011).
``MatchIt: Nonparametric Preprocessing for Parametric Causal Inference.''
Journal of Statistical Software, Vol. 42, No. 8 (Special Volume on Political Methodology), pp. 1-28.
|
Imai, Kosuke
(2011).
``Multivariate Regression Analysis for the Item Count Technique.''
Journal of the American Statistical Association, Vol. 106, No. 494 (June), pp. 407-416. (featured article)
|
Imai, Kosuke, Ying Lu, and Aaron Strauss
(2011).
``eco: R Package for Ecological Inference in 2 x 2 Tables.''
Journal of Statistical Software, Vol. 42, No. 5 (Special Volume on Political Methodology), pp. 1-23.
|
Imai, Kosuke, and Aaron Strauss
(2011).
``Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-out-the-vote Campaign.''
Political Analysis, Vol. 19, No. 1 (Winter), pp. 1-19. (lead article) Winner of Political Analysis Editors' Choice Award.
|
Imai, Kosuke, Luke Keele, and Dustin Tingley
(2010).
``A General Approach to Causal Mediation Analysis.''
Psychological Methods, Vol. 15, No. 4 (December), pp. 309-334. (lead article)
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Imai, Kosuke, and Teppei Yamamoto
(2010).
``Causal Inference with Differential Measurement Error: Nonparametric Identification and Sensitivity Analysis.''
American Journal of Political Science, Vol. 54, No. 2 (April), pp. 543-560.
|
Imai, Kosuke, Luke Keele, and Teppei Yamamoto
(2010).
``Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects.''
Statistical Science, Vol. 25, No. 1 (February), pp. 51-71.
|
King, Gary, Emmanuela Gakidou, Kosuke Imai, Jason Lakin, Ryan T. Moore, Clayton Nall, Nirmala Ravishankar, Manett Vargas, Martha María Téllez-Rojo, Juan Eugenio Hernández Ávila, Mauricio Hernández Ávila, and Héctor Hernández Llamas
(2009).
``Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme.''
(with a comment) The Lancet, Vol. 373, No. 9673 (April), pp. 1447-1454.
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Imai, Kosuke
(2009).
``Statistical Analysis of Randomized Experiments with Nonignorable Missing Binary Outcomes: An Application to a Voting Experiment.''
Journal of the Royal Statistical Society, Series C (Applied Statistics), Vol. 58, No. 1 (February), pp. 83-104.
|
Imai, Kosuke, Gary King, and Clayton Nall
(2009).
``The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation.''
(with discussions and rejoinder) Statistical Science, Vol. 24, No. 1 (February), pp. 29-53.
|
Imai, Kosuke, Gary King, and Olivia Lau
(2008).
``Toward A Common Framework of Statistical Analysis and Development.''
Journal of Computational and Graphical Statistics, Vol. 17, No. 4 (December), pp. 892-913.
|
Imai, Kosuke
(2008).
``Variance Identification and Efficiency Analysis in Randomized Experiments under the Matched-Pair Design.''
Statistics in Medicine, Vol. 27, No. 24 (October), pp. 4857-4873.
|
Ho, Daniel E., and Kosuke Imai
(2008).
``Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment: California Alphabet Lottery, 1978-2002.''
Public Opinion Quarterly, Vol. 72, No. 2 (Summer), pp. 216-240.
|
Imai, Kosuke, Gary King, and Elizabeth A. Stuart
(2008).
``Misunderstandings among Experimentalists and Observationalists about Causal Inference.''
Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 171, No. 2 (April), pp. 481-502. Reprinted in Field Experiments and their Critics, D. Teele ed. (2014), New Haven: Yale University Press.
|
Imai, Kosuke
(2008).
``Sharp Bounds on the Causal Effects in Randomized Experiments with ``Truncation-by-Death.''
Statistics & Probability Letters, Vol. 78, No. 2 (February), pp. 144-149.
|
Imai, Kosuke, Ying Lu, and Aaron Strauss
(2008).
``Bayesian and Likelihood Inference for 2 x 2 Ecological Tables: An Incomplete Data Approach.''
Political Analysis, Vol. 16, No. 1 (Winter), pp. 41-69.
|
Imai, Kosuke, and Samir Soneji
(2007).
``On the Estimation of Disability-Free Life Expectancy: Sullivan's Method and Its Extension.''
Journal of the American Statistical Association, Vol. 102, No. 480 (December), pp. 1199-1211.
|
Ho, Daniel E., Kosuke Imai, Gary King, and Elizabeth A. Stuart
(2007).
``Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference.''
Political Analysis, Vol. 15, No.3 (Summer), pp. 199-236. (lead article) Winner of Miller Prize.
|
Horiuchi, Yusaku, Kosuke Imai, and Naoko Taniguchi
(2007).
``Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment.''
American Journal of Political Science, Vol. 51, No. 3 (July), pp. 669-687.
|
Ho, Daniel E., and Kosuke Imai
(2006).
``Randomization Inference with Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election.''
Journal of the American Statistical Association, Vol. 101, No. 475 (September), pp. 888-900.
|
Imai, Kosuke
(2005).
``Do Get-Out-The-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments.''
American Political Science Review, Vol. 99, No. 2 (May), pp. 283-300.
|
Imai, Kosuke, and David A. van Dyk
(2005).
``MNP: R Package for Fitting the Multinomial Probit Model.''
Journal of Statistical Software, Vol. 14, No. 3 (May), pp. 1-32.
|
Imai, Kosuke, and David A. van Dyk
(2005).
``A Bayesian Analysis of the Multinomial Probit Model Using Marginal Data Augmentation.''
Journal of Econometrics, Vol. 124, No. 2 (February), pp. 311-334.
|
Imai, Kosuke, and David A. van Dyk
(2004).
``Causal Inference With General Treatment Regimes: Generalizing the Propensity Score.''
Journal of the American Statistical Association, Vol. 99, No. 467 (September), pp. 854-866.
|
Imai, Kosuke, and Gary King
(2004).
``Did Illegal Overseas Absentee Ballots Decide the 2000 U.S. Presidential Election?.''
Perspectives on Politics, Vol. 2, No. 3 (September), pp.537-549. Our analysis is a part of The New York Times article, ``How Bush Took Florida: Mining the Overseas Absentee Vote'' By David Barstow and Don van Natta Jr. July 15, 2001, Page 1, Column 1.
|
Imai, Kosuke, Michael Linzhe Li
(2025).
``A Comment on: Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India.''
Econometrica, Vol. 93, No. 4 (July), pp. 1165-1170.
|
Imai, Kosuke, and Yang Ning
(2023).
``Imai, Kosuke, and Yang Ning. (2023). ``Covariate Balancing Propensity Score.'' Handbook of Matching and Weighting Adjust.''
|
Imai, Kosuke, Michael Rosenblum, and Mark Rothmann
(2023).
``14th Annual University of Pennsylvania Conference on statistical issues in clinical trials/subgroup analysis in clinical trials: Opportunities and challenges (afternoon panel discussion).''
Clinical Trials, Vol. 24, No. 4, pp. 405-415.
|
Imai, Kosuke, Zhichao Jiang, D. James Greiner, Ryan Halen, and Sooahn Shin
(2023).
``Authors' Reply to the Discussion of `Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment.''
Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 186, No. 2 (April), pp. 212–216.
|
Imai, Kosuke
(2022).
``Causal Diagrams and Social Science Research.''
Probabilistic and Causal Inference: The Works of Judea Pearl. Geffner, Hector, Rina Dechter, Joseph Y. Halpern, (eds). Association for Computing Machinery and Morgan & Claypool, pp. 647-654.
|
Imai, Kosuke, and Zhichao Jiang
(2019).
``Comment: The Challenges of Multiple Causes.''
Journal of the American Statistical Association, Vol. 114, No. 528, pp. 1605-1610.
|
de la Cuesta, Brandon and Kosuke Imai
(2016).
``Misunderstandings about the Regression Discontinuity Design in the Study of Close Elections.''
Annual Review of Political Science, Vol. 19, pp. 375-396.
|
Imai, Kosuke
(2016).
``Book Review of Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. by Guido W. Imbens and Donald B. Rubin.''
Journal of the American Statistical Association, Vol. 111, No. 515, pp. 1365-1366.
|
Imai, Kosuke, Bethany Park, and Kenneth F. Greene
(2015).
``Usando as respostas previsiveis da abordagem list-experiments como variáveis explicativas em modelos de regressao.''
Revista Debates, Vol. 9, No. 1, pp. 121-151. First printed in Political Analysis, Vol. 23, No. 2 (Spring).
|
Imai, Kosuke, Luke Keele, Dustin Tingley, and Teppei Yamamoto
(2014).
``Comment on Pearl: Practical Implications of Theoretical Results for Causal Mediation Analysis.''
Psychological Methods, Vol. 19, No. 4 (December), 482-487.
|
Imai, Kosuke, Gary King, and Elizabeth A. Stuart
(2014).
``Misunderstandings among Experimentalists and Observationalists about Causal Inference.''
in Field Experiments and their Critics: Essays on the Uses and Abuses of Experimentation in the Social Sciences, D. L. Teele ed., New Haven: Yale University Press, pp. 196-227. First printed in Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 171, No. 2 (April).
|
Imai, Kosuke, Dustin Tingley, and Teppei Yamamoto
(2013).
``Reply to Discussions of ``Experimental Designs for Identifying Causal Mechanisms.''
Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 173, No. 1 (January), pp. 46-49.
|
Imai, Kosuke
(2012).
``Comments: Improving Weighting Methods for Causal Mediation Analysis.''
Journal of Research on Educational Effectiveness, Vol. 5, No. 3, pp. 293-295.
|
Imai, Kosuke
(2011).
``Introduction to the Virtual Issue: Past and Future Research Agenda on Causal Inference.''
Political Analysis, Virtual Issue: Causal Inference and Political Methodology.
|
Imai, Kosuke, Booil Jo, and Elizabeth A. Stuart
(2011).
``Commentary: Using Potential Outcomes to Understand Causal Mediation Analysis.''
Multivariate Behavioral Research, Vol. 46, No. 5, pp. 842-854.
|
Imai, Kosuke, Luke Keele, Dustin Tingley, and Teppei Yamamoto
(2010).
``Causal Mediation Analysis Using R.''
,'' in Advances in Social Science Research Using R, ed. H. D. Vinod, New York: Springer (Lecture Notes in Statistics), pp. 129-154.
|
Imai, Kosuke, Gary King, and Clayton Nall
(2009).
``Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments.''
Statistical Science, Vol. 24, No. 1 (February), pp. 65-72.
|
Svyatkovskiy, Alexey, Kosuke Imai, Mary Kroeger, and Yuki Shiraito
(2016).
``Large-scale text processing pipeline with Apache Spark.''
IEEE International Conference on Big Data, Washington, DC, pp. 3928-3935.
|
Goldstein, Daniel, Kosuke Imai, Anja S. Goritz, and Peter M. Gollwitzer
(2008).
``Nudging Turnout: Mere Measurement and Implementation Planning of Intentions to Vote.''
|
Ho, Daniel E. and Kosuke Imai
(2004).
``The Impact of Partisan Electoral Regulation: Ballot Effects from the California Alphabet Lottery, 1978-2002.''
,'' Princeton Law & Public Affairs Paper No. 04-001: Harvard Public Law Working Paper No. 89.
|
Imai, Kosuke
(2003).
``Review of Jeff Gill's Bayesian Methods: A Social and Behavioral Sciences Approach.''
,'' The Political Methodologist, Vol. 11, No. 1, pp. 9-10.
|
Imai, Kosuke, and Jeremy Weinstein
(2000).
``Measuring the Economic Impact of Civil War.''
,'' Harvard University Center for International Development, Working Paper Series, No. 51.
|
Barber, Michael and Kosuke Imai
``Estimating Neighborhood Effects on Turnout from Geocoded Voter Registration Records.''
|
Chan, K.C.G, K. Imai, S.C.P. Yam, Z. Zhang
``Efficient Nonparametric Estimation of Causal Mediation Effects.''
|
Hirano, Shigeo, Kosuke Imai, Yuki Shiraito, and Masaki Taniguchi
``Policy Positions in Mixed Member Electoral Systems: Evidence from Japan.''
|
Imai, Kosuke
(2025).
``Nihon wa Data Science Senshinkoku wo Mezase.''
Kagaku, Vol. 95, No. 4. Invited introduction essay for the special issue on data science.
|
Imai, Kosuke
(2022).
``Ippyo no Kakusa: Algorithm de Kaizen Dekiru.''
Nikkei Business, December 19, pp.72-75.
|
Imai, Kosuke
(2007).
``Keiryo Seijigaku niokeru Ingateki Suiron (Causal Inference in Quantitative Political Science).''
Leviathan, Vol. 40, pp. 224-233.
|
Horiuchi, Yusaku, Kosuke Imai, and Naoko Taniguchi
(2005).
``Seisaku Jyoho to Tohyo Sanka: Field Jikken ni yoru Kensyo (Policy Information and Voter Participation: A Field Experiment).''
Nenpo Seijigaku (The Annals of the Japanese Political Science Association), 2005-I, pp. 161-180.
|
Taniguchi, Naoko, Yusaku Horiuchi, and Kosuke Imai
(2004).
``Seito Saito no Etsuran ha Tohyo Kodo ni Eikyo Suruka? (Does Visiting Political Pary Websites Influence Voting Behavior?).''
Nikkei Research Report, Vol. IV, pp. 16-19.
|
Shi, Wenqi, Kosuke Imai, and Yi Zhang.
``MetaHunt: Privacy-Preserving Meta-Analysis through Low-Rank Basis Hunting.''
GitHub.
|
Imai, Kosuke and Kentaro Nakamura.
``gpi: Gen-AI Powered Inference.''
GitHub.
|
McCartan, Cory, Jacob Brown, and Kosuke Imai.
``neighborhood-survey: Measuring Subjective Neighborhood Boundaries via Survey.''
GitHub.
|
Imai, Kosuke.
``experiment: R Package for Designing and Analyzing Randomized Experiments.''
CRAN.
|
Imai, Kosuke, Gary King, and Olivia Lau.
``Zelig: Everyone's Statistical Software.''
CRAN.
|
Impact Lab Start-up Fund
(2026-2028). ``Triage Scores.'' Co-Principal Investigator (with
D. James Greienr). $200,000 |
Lemann Brazil Research Fund
(2025-2026). ``Development of statistical methods to evaluate the
impact of Bolsa Família on mental health using the 100 Million
Brazilian Cohort.'' Principal Investigator (with Vikram Patel,
Flavia Jose Oliveira Alves, and Daiane Borges Machado). $150,000
|
National Institute of Health and National
Institute on Aging (2024-2026). ``Precision blood pressure
control, cognition and adverse events in older adults: detecting
heterogeneity in treatment effects in randomized trials using
machine-learning approaches.'' (1R03AG087481-01A1) Co-Principal
Investigator (with Yuan Ma). $302,960. |
National Institute of Mental Health
(2022-2027). ``The impact of social drivers, conditional cash
transfers and their mechanisms on mental health of the young: an
integrated retrospective and forecasting approach using the 100
million Brazilian Cohort.'' (1R01MH128911-01) Co-Principal
Investigator (with Daiane Borges Machado et
al.). $1,993,614. |
Netflix Research Grant
(2025). $50,000. |
National Science Foundation (2022-2025).
``Collaborative Research: Understanding the Evolution of Political
Campaign Advertisements over the Last Century.'' (Accountable
Institutions and Behavior Program, SES-2148928). Principal
Investigator (with Michael Crespin and Bryce Dietrich)
$538,484. |
Netflix Research Grant
(2024). $35,000. |
National Science Foundation
(2021-2024). ``Collaborative Research: Causal Inference with
Spatio-Temporal Data on Human Dynamics in Conflict Settings.''
(Algorithm for Threat Detection Program; DMS-2124463). Principal
Investigator (with Georgia Papadogeorgou and Jason Lyall)
$485,340. |
National Science Foundation
(2021-2024). ``Evaluating the Impacts of Machine Learning Algorithms
on Human Decisions.'' (Methodology, Measurement, and Statistics
Program; SES-2051196). Principal Investigator (with D. James Greiner
and Zhichao Jiang) $330,000. |
Meta Research Grant
(2022). $50,000. |
Cisco Systems, Inc.
(2020-2024). ``Evaluating the Impacts of Algorithmic
Recommendations on the Fairness of Human Decisions.'' (Ethics in
AI; CG# 2370386) Principal Investigator (with D. James Greiner and
Zhichao Jiang) $110,085. |
The Alfred P. Sloan Foundation
(2020-2022). ``Causal Inference with Complex Treatment Regimes:
Design, Identification, Estimation, and Heterogeneity.'' (Economics
Program; 2020-13946) Co-Principal Investigator (with Francesca
Dominici and Jose Zubizarreta) $996,299. |
Facebook Research Grant
(2018). $25,000. |
National Science Foundation
(2016-2021). ``Collaborative Conference Proposal: Support for
Conferences and Mentoring of Women and Underrepresented Groups in
Political Methodology.'' (Methodology, Measurement and Statistics
and Political Science Programs; SES-1628102) Principal Investigator
(with Jeffrey Lewis) $312,322. Supplement (SES-1831370)
$60,000. |
The United States Agency for International
Development (2015-2017). ``Unemployment and Insurgent Violence in
Afghanistan: Evidence from the Community Development Program.''
(AID-OAA-A-12-00096) Principal Investigator (with Jason Lyall)
$188,037. |
The United States Institute of Peace
(2015-2016). ``Assessing the Links between Economic Interventions
and Stability: An impact evaluation of vocational and skills
training in Kandahar, Afghanistan,'' Principal Investigator (with
David Haines, Jon Kurtz, and Jason Lyall) $144,494. |
Amazon Web Services in Education Research
Grant (2014). Principal Investigator (with Graeme Blair and Carlos
Velasco Rivera) $3,000. |
Development Bank of Latin America (CAF)
(2013). ``The Origins of Citizen Support for Narcos: An Empirical
Investigation,'' Principal Investigator (with Graeme Blair, Fabiana
Machado, and Carlos Velasco). $15,000. |
The International Growth Centre
(2011-2013). ``Poverty, Militancy, and Citizen Demands in Natural
Resource-Rich Regions: Randomized Evaluation of the Oil Profits
Dividend Plan for the Niger Delta'' (RA-2010-12-013). Principal
Investigator (with Graeme Blair). $117,116. |
National Science Foundation, (2009-2012).
``Statistical Analysis of Causal Mechanisms: Identification,
Inference, and Sensitivity Analysis,'' (Methodology, Measurement,
and Statistics Program and Political Science Program; SES-0918968)
Principal Investigator. $97,574. |
National Science Foundation, (2009-2011).
``Collaborative Research: The Measurement and Identification of
Media Priming Effects in Political Science,'' (Methodology,
Measurement, and Statistics Program and Political Science Program;
SES-0849715) Principal Investigator (with Nicholas
Valentino). $317,126. |
National Science Foundation, (2008-2009).
``New Statistical Methods for Randomized Experiments in Political
Science and Public Policy,''
(Political Science Program; SES-0752050)
Principal Investigator. $52,565. |
National Science Foundation, (2006-2009).
``Collaborative Research: Generalized Propensity Score Methods,''
(Methodology, Measurement and Statistics Program; SES-0550873)
Principal Investigator (with Donald B. Rubin and David A. van
Dyk). $460,000. |
The Telecommunications Advancement
Foundation, (2004). ``Analyzing the Effects of Party Webpages on
Political Opinions and Voting Behavior,'' Principal Investigator
(with Naoko Taniguchi and Yusaku Horiuchi). $12,000.
|
National Science Foundation
(2016-2017). ``Doctoral Dissertation Research: Crossing Africa's
Arbitrary Borders: How Refugees Shape National Boundaries by
Challenging Them.'' (Political Science Program, SES-1560636).
Principal Investigator and Adviser for Co-PI Yang-Yang Zhou's
Dissertation Research. $18,900. |
Institute of Education Sciences
(2012-2014). ``Academic and Behavioral Consequences of Visible
Security Measures in Schools'' (R305A120181). Statistical
Consultant (Emily Tanner-Smith, Principal
Investigator). $351,228. |
National Science Foundation
(2013-2014). ``Doctoral Dissertation Research: Open Trade for Sale:
Lobbying by Productive Exporting Firm'' (Political Science Program,
SES-1264090). Principal Investigator and Adviser for Co-PI In Song
Kim's Dissertation Research. $22,540. |
National Science Foundation
(2012-2013). ``Doctoral Dissertation Research: The Politics of
Location in Resource Rent Distribution and the Projection of Power
in Africa'' (Political Science Program, SES-1260754). Principal
Investigator and Adviser for Co-PI Graeme Blair's Dissertation
Research. $17,640. |
Wijsman Lecture, Department of Statistics,
University of Illinois, Urbana-Champaign, 2026. |
Keynote speaker, International Centre for
Mathematical Sciences, University of Edinburgh,
2026. |
Distinguished speaker, Statistical Horizons,
2026. |
Methods Lecture, National Bureau of Economic
Research, Summer Institute, 2025. |
Keynote speaker, Essex Summer School in
Social Science Data Analysis, 2025. |
Distinguished lecturer, University of
Konstanz, 2025. |
Inaugural speaker, Oxford Computational
Political Science Group, 2025. |
Keynote speaker, Political Methodology
Europe Conference, 2025. |
Distinguished speaker, Department of
Statistics, University of Oxford, 2025. |
Distinguished lecturer, Mannheim Center for
Data Science, University of Mannheim, 2025. |
Keynote speaker, Netflix Causal Inference &
Experimentation Summit, 2024. |
Keynote speaker, Promises and Limits of
Inferring Protected-Class Data for Disparate Impact Testing of AI
Systems, DLA Piper and O'Neil Risk Consulting & Algorithmic
Auditing, 2023. |
Distinguished speaker, Hariri Institute for
Computing and Computational Science and Engineering, Boston
University, 2023. |
Keynote speaker, Michigan Student Symposium
for Interdisciplinary Statistical Sciences (MSSISS),
2023. |
Keynote speaker, CIVICA Data Science Days,
The European University of Social Sciences, 2022. |
Distinguished speaker, Harvard College
Summer Program for Undergraduates in Data Science,
2021. |
Keynote speaker, Kansas-Western Missouri
Chapter of the American Statistical Association,
2021. |
Invited plenary panelist. Association for
Computing Machinery Conference on Fairness, Accountability, and
Transparency (ACM FAccT) 2021. |
Keynote speaker, Taiwan Political Science
Association, 2020. |
Keynote speaker, Boston Japanese
Researchers Forum, Massachusetts Institute of Technology,
2020. |
Keynote speaker, Causal Mediation Analysis
Training, Mailman School of Public Health, Columbia University,
2020. |
Keynote speaker, Special Workshop on
Evidence-based Policy Making. World Economic Forum, Centre for the
Fourth Industrial Revolution, Japan, 2020. |
Distinguished speaker, Institute for Data,
Systems, and Society. Massachusetts Institute of Technology,
2019. |
Keynote speaker, The Harvard Experimental
Political Science Graduate Student Conference, Harvard University,
2019. |
Invited speaker, Beyond Curve Fitting:
Causation, Counterfactuals, and Imagination-based AI. Association
for the Advancement of Artificial Intelligence, Spring Symposium,
Stanford University, 2019. |
Inaugural speaker, Causal Inference
Seminar, Departments of Biostatistics and Statistics, Boston
University, 2019. |
Keynote speaker, The Second Latin American
Political Methodology Meeting, Universidad de los Andes,
2018. |
Keynote speaker, The First Latin American
Political Methodology Meeting, Pontifical Catholic University of
Chile, 2017. |
Keynote speaker, Workshop on Causal
Mechanisms, University of Munich (Department of Economics),
2016. |
Keynote speaker, The National Quality
Registry Research Conference, Stockholm, 2016. |
Keynote speaker, The UK-Causal Inference
Meeting, University of Bristol (School of Mathematics),
2015. |
Keynote speaker, The UP-STAT Conference,
the Upstate Chapters of the American Statistical Association,
2015. |
Keynote speaker, The Winter Conference in
Statistics, Swedish Statistical Society and Umea University
(Department of Mathematics and Mathematical Statistics),
2015. |
Inaugural invited speaker, The
International Methodology Colloquium, Rice University,
2015. |
Invited speaker, The International Meeting
on Experimental and Behavioral Social Sciences, University of
Oxford (Nuffield College), 2014. |
Keynote speaker, The Annual Meeting of the
Australian Society for Quantitative Political Science, University of
Sydney, 2013. |
Keynote speaker, The Graduate Student
Conference on Experiments in Interactive Decision Making, Princeton
University, 2008. |
Short Course on Causal Inference;
Department of Political Science, Rice University, 2009; Institute
of Political Science, Academia Sinica, 2014. |
Short Course on Causal Inference and
Identification, Empirical Implications of Theoretical Models
(EITM) Summer Institute - Harris School of Public Policy,
University of Chicago, 2011; Department of Politics, Princeton
University, 2012. |
Short Course on Covariate Balancing
Propensity Score; Society for Research on Educational
Effectiveness Conference, Washington DC, Spring 2013; Uppsala
University, 2016
|
Short Course on Causal Mediation
Analysis: Summer Graduate Seminar, Istitute of Statistical
Mathematics, Tokyo Japan, 2010; Society for Research on
Educational Effectiveness Conference, Washington DC, Fall 2011,
Spring 2012, Spring 2015; Inter-American Development Bank, 2012;
Center for Education Research, University of Wisconsin, Madison,
2012; Bobst Center for Peace and Justice, Princeton University,
2014; Graduate School of Education, University of Pennsylvania,
2014; EITM Summer Institute, Duke University, 2014; Center for
Lifespan Psychology, Max Planck Institute for Human Development,
2015; School of Communication Research, University of Amsterdam,
2015; Uppsala University, 2016 |
Short Course on Matching Methods for
Causal Inference; Institute of Behavioral Science, University of
Colorado, Boulder, 2009; Duke University, 2013. |
Lecture on Statistics and Social Sciences:
New Jersey Japanese School, 2011, 2016; Kaisei High School, 2012, 2014;
Princeton University (Wilson College), 2012; University of Tokyo,
2014 |
Stat 286/Gov 2003: Causal
Inference (formally Stat 186/Gov 2002): introduction
to causal inference |
Gov
2003: Topics in Quantitative Methdology: causal
inference, applied Bayesian statistics, machine learning
|
POL
245 Visualizing Data: Exploratory data analysis,
Graphical statistics, Data visualization
|
POL
345 Quantitative Analysis and Politics: a first
course in quantitative social science
|
POL
451 Statistical Methods in Political
Science: basic probability and
statistical theory, their applications in the social sciences.
|
POL 502 Mathematics for
Political Science: real
analysis, linear algebra, calculus. |
POL
571 Quantitative Analysis I:
probability theory, statistical theory, linear models. |
POL
572 Quantitative Analysis II:
intermediate applied statistics. |
POL
573 Quantitative Analysis III: advanced applied
statistics. |
POL
574 Quantitative Analysis IV: advanced applied
statistics with various topics including Bayesian statistis and
causal inference. |
Reading
courses basic mathematical probability and
statistics, applied Bayesian statistics, spatial
statistics. |
Maria Ballesteros (Government) |
Sima Biondi (Government) |
Antonio Camara (Government) |
Kyla Chasalow (Statistics) |
Yuanchuan Guo (Statistics) |
Benedikt Koch (Statistics) |
Zhiyu Li (Government) |
JB Lim (Government) |
Taegyun Lim (Government) |
Qi Liu (Government) |
Ruofan Ma (Government) To be Postdoctoral Fellow at the Massachusetts Institute of Technology, followed by Assistant Professor in the Department of Political Science at the Massachusetts Institute of Technology |
Sarah McDonald (Statistics) |
Jerry Min (Government) |
Mitsuru Mukaigawara (Government) |
Kentaro Nakamura (Harvard Kennedy School) |
Philip O'Sullivan (Statistics and Harvard
Law School) |
Sun Young Park (Government) To be
Assistant Professor at the Taipei School of Economics and Political
Science at National Tsing Hua University |
Souhardya Sengupta (Statistics) |
Wenqi Shi (Statistics) |
Dom Valentino (Government) |
Longlin Wang (Statistics) To be Research Staff at the Voleon Group |
Currently, I am supervising no predoc or
postdoc. |
Sooahn Shin (Ph.D. in 2025, Department of
Government, Harvard University; Dissertation Committee Chair). Data
Scientist, Airbnb |
Jialu Li (Ph.D. in 2025, Department of
Government, Harvard University), Data Scientist, Google |
Zeyang Jia (Ph.D in 2025, Department of
Statistics, Harvard University; Dissertation Committee
Chair). Quantitative Researcher, Citadel Securities |
Christopher T. Kenny (Ph.D in 2025,
Department of Government, Harvard University; Dissertation Committee
Chair). Postdoctoral Fellow, Princeton University |
Yi Zhang (Ph.D in 2025, Department of
Statistics, Harvard University; Dissertation Committee Chair)
Research Data Scientist, Netflix |
Tyler Simko (Ph.D. in 2024, Department of
Government, Harvard University; Dissertation Committee Chair).
Assistant Professor, Department of Political Science, University of
Michigan |
Dae Woong Ham (Ph.D. in 2024, Department
of Statistics, Harvard University; Dissertation Committee
Chair). Assistant Professor, Technology and Operations, Michigan
Ross Business School |
Averell Schmidt (Ph.D. in 2024, Harvard
Kennedy School). Postdoctoral Fellow, Brown University, followed by
Assistant Professor, Department of Government and Brooks School of
Public Policy, Cornell University |
Adam Breuer (Ph.D. in 2023, Department of
Computer Science and Department of Government, Harvard
University). Assistant Professor, Department of Government and
Department of Computer Science, Dartmouth College |
Sayumi Miyano (Ph.D. in 2023, Department
of Politics, Princeton University) Assistant Professor, The Osaka
School of International Public Policy at Osaka
University |
Shusei Eshima (Ph.D. in 2023, Department
of Government, Harvard University; Dissertation Committee
Chair). Data Scientist, Netflix |
Casey Petroff (Ph.D. in 2023, Harvard
Kennedy School). Assistant Professor, Department of Political
Science, University of Rochester |
Soubhik Barari (Ph.D. in 2023, Department
of Government, Harvard University). Research Methdoologist, NORC at
the University of Chicago |
Cory McCartan (Ph.D. in 2023, Department
of Statistics; Dissertation Committee Chair). Assitant Professor,
Department of Statistics, Pennsylvania State
University |
Soichiro Yamauchi (Ph.D. in 2022,
Department of Government, Harvard University; Dissertation Committee
Chair). Assistant Professor, Department of Political Science,
University of California, San Diego |
Georgina Evans (Ph.D. in 2022, Department
of Government, Harvard University). Research Scientist, Google
DeepMind |
Ambarish Chattopadhyay (Ph.D. in 2022,
Department of Statistics, Harvard University). Postdoctoral fellow,
Stanford University |
Jacob Brown (Ph.D. in 2022, Department of
Government, Harvard University). Assistant Professor, Department of
Political Science, Boston University |
Alexander Tarr (Ph.D. in 2021, Department
of Electrical and Computer Engineering, Princeton University;
Dissertation Committee Chair) |
Connor Jerzak (Ph.D. in 2021, Department
of Government, Harvard University). Assistant Professor, Department
of Government, University of Texas, Austin |
Shiro Kuriwaki (Ph.D. in 2021, Department
of Government, Harvard University). Assistant Professor, Department
of Political Science, Yale University |
Erik Wang (Ph.D. in 2020, Department of
Politics, Princeton University). Assistant Professor, Department of
Politics, New York University |
Diana Stanescu (Ph.D. in 2020, Department
of Politics, Princeton University). Data Scientist, World
Bank |
Nicole Pashley (Ph.D. in 2020, Department
of Statistics, Harvard University). Assistant Professor, Department
of Statistics, Rutgers University |
Asya Magazinnik (Ph.D. in 2020, Department
of Politics, Princeton University). Professor of Social Data
Science, Hertie School |
Max Goplerud (Ph.D. in 2020, Department of
Government, Harvard University). Assistant Professor, Department of
Government, University of Texas, Austin |
Naoki Egami (Ph.D. in 2020, Department of
Politics, Princeton University; Dissertation Committee Chair).
Associate Professor, Department of Political Science, Massachusetts
Institute of Technology |
Brandon de la Cuesta. (Ph.D. in 2019,
Department of Politics, Princeton University). Postdoctoral
Fellow, Center on Global Poverty and Development, Stanford
University |
Yang-Yang Zhou. (Ph.D. in 2019, Department
of Politics, Princeton University). Assistant Professor, Department
of Government, Dartmouth College |
Winston Chou. (Ph.D. in 2019, Department
of Politics, Princeton University). Senior Data Scientist,
Netflix |
Ted Enamorado (Ph.D. in 2019, Department
of Politics, Princeton University; Dissertation Committee Chair).
Assistant Professor, Department of Political Science, Washington
University in St. Louis |
Benjamin Fifield (Ph.D. in 2018,
Department of Politics, Princeton University; Dissertation Committee
Chair). Data Scientist, Meta |
Tyler Pratt (Ph.D. in 2018, Department of
Politics, Princeton University). Assistant Professor, Department of
Political Science, University of North Carolina at Chapel
Hill |
Romain Ferrali (Ph.D. in 2018, Department
of Politics, Princeton University). Assistant Professor,
Aix-Marseille School of Economics |
Julia Morse (Ph.D. in 2017, Woodrow Wilson
School, Princeton University). Assistant Professor, Department of
Political Science, University of California, Santa Barbara
|
Yuki Shiraito (Ph.D. in 2017, Department
of Politics, Princeton University; Dissertation Committee Chair).
Assistant Professor, Department of Political Science, University
of Michigan |
Carlos Velasco Rivera (Ph.D. in 2016,
Department of Politics, Princeton University). Research Scientist,
Netflix |
Gabriel Lopez Moctezuma (Ph.D. in 2016,
Department of Politics, Princeton University). Assistant
Professor, Division of the Humanities and Social Sciences,
California Institute of Technology |
Graeme Blair (Ph.D. in 2016, Department of
Politics, Princeton University). Associate Professor, Department
of Political Science, University of California, Los Angeles
|
Jaquilyn R Waddell Boie (Ph.D. in 2015,
Department of Politics, Princeton University). Associate, Heidman
Law Firm |
Scott Abramson (Ph.D. in 2014, Department
of Politics, Princeton University). Associate Professor, Department
of Political Science, University of Rochester
|
Michael Barber (Ph.D. in 2014, Department
of Politics, Princeton University). Associate Professor, Department
of Political Science, Brigham Young University
|
In Song Kim (Ph.D. in 2014, Department of
Politics, Princeton University). Associate Professor, Department
of Political Science, Massachusetts Institute of Technology
|
Alex Ruder (Ph.D. in 2014, Department of
Politics, Princeton University). CED Director and Principal
Adviser, Federal Reserve Bank of Atlanta |
Meredith Wilf (Ph.D. in 2014, Department
of Politics, Princeton University). Senior Director, Capital
Rx |
Will Bullock (Ph.D. candidate, Department
of Politics, Princeton University). Senior Researcher, Meta
|
Teppei Yamamoto (Ph.D. in 2011, Department
of Politics, Princeton University; Dissertation Committee Chair).
Professor, Department of Political Economics, Waseda
University |
Dustin Tingley (Ph.D. in 2010,
Department of Politics, Princeton University). Professor,
Department of Government, Harvard University, and Harvard
Kennedy School
|
Aaron Strauss (Ph.D. in 2009, Department
of Politics, Princeton University). Former Executive Director,
Analyst Institute
|
Samir Soneji (Ph.D. in 2008, Office of
Population Research, Princeton University; Dissertation Committee
Chair). Associate Professor, Department of Health Behavior at the
Gillings School of Global Public Health, University of North
Carolina, Chapel Hill
|
Ying Lu (Ph.D. in 2005, Woodrow Wilson
School, Princeton University; Dissertation Committee
Chair). Associate Professor, Steinhardt School of Culture,
Education, and Human Development, New York University |
Melody Huang. (Postdoctoral Fellow,
2023-2024) Assistant Professor, Department of Political Science and
Department of Statistics and Data Science, Yale
University |
Evan Rosenman. (Postdoctoral Fellow,
2021-2023) Assistant Professor, Department of Mathematical Sciences,
Claremont McKenna College |
Eli Ben-Michael (Postdoctoral Fellow, 2021 -
2022). Assistant Professor, Department of Statistics and Data
Science and Heinz College of Informations Systems and Public Policy
|
Zhichao Jiang (Postdoctoral Fellow, 2016 -
2019). Professor, School of Mathematics, Sun Yat-sen
University |
Adeline Lo (Postdoctoral Fellow,
2016-2019). Assistant Professor, Department of Political Science,
University of Wisconsin, Madison |
Yunkyu Sohn (Postdoctoral Fellow,
2016-2018). Assistant Professor, Department of Sociology, Seoul
National University |
Xiaolin Yang (Postdoctoral Fellow,
2015-2017). Data Scientist, Amazon. |
Santiago Olivella (Postdoctoral Fellow,
2015-2016). Associate Professor, Department of Political Science,
The University of North Carolina at Chapel Hill |
Derew Dimmery (Predoctoral Fellow,
2015-2016). Professor, Data Science Lab, Hertie
School |
James Lo (Postdoctoral Fellow,
2014-2016). Data Scientist, Meta |
Steven Liao (Predoctoral Fellow,
2014-2015). Assistant Professor, Department of Political Science,
University of California, Riverside |
Michael Higgins (Postdoctoral Fellow,
2013-2015). Associate Professor, Department of Statistics, Kansas
State University |
Kentaro Hirose (Postdoctoral Fellow,
2012-2015) Associate Professor, Faculty of International Studies and
Regional Development, University of Niigata
Prefecture |
Chad Hazlett (Predoctoral Fellow,
2013-2014). Associate Professor, Departments of Political Science
and Statistics, University of California, Los
Angeles |
Florian Hollenbach (Predoctoral Fellow,
2013-2014). Associate Professor, Department of International
Economics, Government and Business at the Copenhagen Business
School |
Marc Ratkovic (Predoctoral and
Postdoctoral Fellow, 2010-2012). Professor, School of Social
Science, University of Mannheim |
Co-editor for Journal
of Causal Inference (2014-2024). |
Associate editor for
American Journal of Political Science (2014-2019),
American Political Science Review (2022-2024), Journal
of Business & Economic Statistics (2015-2024), Journal of
Causal Inference (2011-2014), Journal of Experimental
Political Science (2013-2017), Observational Studies
(2014-present), Political Analysis (2014-2017).
|
Editorial board member
for Asian Journal of Comparative Politics (2014-present),
Journal of Educational and Behavioral Statistics (2011-2019),
Journal of Politics (2007-2008, 2019-2020), Journal of
Research on Educational Effectiveness (2014-2016), Political
Analysis (2010-2013; 2025-2026), Political Science Research
and Methods (2019-present). |
Guest editor for
Political Analysis virtual issue on causal inference (2011).
|
Referee for ACM
Computing Surveys, American Economic Journal: Applied
Economics, American Economic Review: Insights,
American Journal of Evaluation, American Journal of
Epidemiology, American Journal of Political Science,
American Political Science Review, American Politics
Research, American Sociological Review, Annals of
Applied Statistics, Annals of Statistics, Annals of
the Institute of Statistical Mathematics, Biometrics,
Biometrika, Biostatistics, BMC Medical Research
Methodology, British Journal of Mathematical and
Statistical Psychology, British Journal of Political
Science , Canadian Journal of Statistics, Chapman &
Hall/CRC Press, Child Development, Communications for
Statistical Applications and Methods, Computational
Statistics and Data Analysis, Econometrica,
Econometrics, Electoral Studies, Electronic
Journal of Statistics, Empirical Economics,
Environmental Management, Epidemiology, European
Union Politics, IEEE Transactions on Information
Theory, International Journal of Biostatistics,
International Journal of Epidemiology International
Journal of Public Opinion Research, International Migration
Review, John Wiley & Sons, Journal of Applied
Econometrics, Journal of Applied Statistics, Journal
of Biopharmaceutical Statistics, Journal of Business and
Economic Statistics, Journal of Causal Inference,
Journal of Computational and Graphical Statistics,
Journal of Conflict Resolution, Journal of Consulting
and Clinical Psychology, Journal of Econometrics,
Journal of Educational and Behavioral Statistics,
Journal of Empirical Legal Studies, Journal of
Multivariate Analysis, Journal of Official Statistics,
Journal of Peace Research, Journal of Politics,
Journal of Research on Educational Effectiveness,
Journal of Statistical Planning and Inference, Journal
of Statistical Software, Journal of Survey Statistics and
Methodology, Journal of the American Statistical
Association (Case Studies and Applications; Theory and
Methods), Journal of the Japanese and International
Economies, Journal of the Japan Statistical Society,
Journal of the Royal Statistical Society (Series A; Series B;
Series C), Law & Social Inquiry, Legislative Studies
Quarterly, MacArthur Fellows Program, Management
Science, Multivariate Behavioral Research, National
Science Foundation (Economics; Methodology, Measurement,
Statistics; Political Science), Natural Sciences and Engineering
Research Council of Canada, Nature Ecology & Evolution,
Nature Machine Intelligence, Nature Scientific Data,
NeuroImage, Osteoporosis International, Oxford
Bulletin of Economics and Statistics, Pharmaceutical
Statistics, Pharmacoepidemiology and Drug Safety,
PLOS One, Policy and Internet, Political
Analysis, Political Behavior, Political
Communication, Political Research Quarterly,
Political Science Research and Methods, Population
Health Metrics, Population Studies, Prevention
Science, Princeton University Press, Proceedings of the
National Academy of Sciences, Psychological Methods,
Psychometrika, Public Opinion Quarterly,
Quarterly Journal of Economics, Quarterly Journal of
Political Science, Review of Economics and Statistics,
Routledge, Sage Publications, Scandinavian Journal of
Statistics, Science, SIAM Journal on Applied
Mathematics, Sloan Foundation, Springer, Sociological
Methodology, Statistical Methodology, Statistical
Methods and Applications, Statistical Methods in Medical
Research, Statistical Science, Statistica
Sinica, Sociological Methods & Research, Statistics
& Probability Letters, Statistics in Medicine,
Systems Biology, U.S.-Israel Binational Science Foundation,
Value in Health, World Politics. |
Chair, Full Professor Promotion Committee
(2023-2024) |
Chair, Senior Faculty Search Committee
(2022-2023) |
Chair, Second-year Progress Committee
(2023-2024) |
Member, Full Professor Promotion Committee
(2025-2026) |
Member, Chair's Advisory Committee
(2023-2024) |
Member, Senior Lecturer Search Committee
(2022-2023) |
Member, Curriculum and Educational Policy
Committee (2020-2021, 2022-2023) |
Member, Second Year Progress Committee (2019-2020) |
Member, Graduate Placement Committee (2019-2020) |
Member, Graduate Admissions Committee
(2018-2019, 2025-2026) |
Member, Graduate Poster Session Committee (2018-2019) |
Chair, Full Professor Promotion Committee
(2025-2026) |
Member, Associate Professor Promotion
Review Committee (2022-2023) |
Chair, Senior Faculty Search Committee
(2021-2022) |
Member, Junior Faculty Search Committee (2018-2019) |
Member, Senior Lecturer Search Committee (2025-2026) |
Member, Second Year Progress Committee
(2018-2019, 2020-2021) |
Member, Community Building Committee
(2025-2026) |
Member, Senior Faculty Search Committee,
Department of Economics (2022-2023) |
Co-chair, Postdoctoral Fellow Selection Committee, Harvard
Data Science Initiative (2022-2023) |
Member, Faculty of Arts and Sciences
Research Computing Faculty Advisory Committee
(2026--present) |
Member, Awarding Committee for the Dean’s
Competitive Fund for Promising Scholarship (2026-2028)
|
Member, Hoopes Prize Social Sciences
Committee (2026) |
Member, Quantitative Reasoning with Data
Committee (2025-2026) |
Executive Committee Member, Program in
Statistics and Machine Learning (2013-2018) |
Executive Committee Member, Committee for
Statistical Studies (2011-2018) |
Member, Organizing Committee, Retreat on
Data and Information Science at Princeton (2016) |
Member, Council of the Princeton
University Community (2015) |
Member, Search Committee for the Dean of
College (2015) |
Member, Committee on the Library and
Computing (2013-2016) |
Member, Committee on the Fund for
Experimental Social Science (2013-2018) |
Member, Personally Identifiable Research
Data Group (2012-2018) |
Member, Research Computing Advisory Group
(2013-2018) |
Member, Task Force on Statistics and
Machine Learning (2014-2015) |
Chair, Department Research and Computing
Committee (2012-2018) |
Chair, Formal and Quantitative Methods Junior Search
Committee (2012-2013, 2014-2015, 2016-2017) |
Chair, Reappointment Committee
(2015-2016) |
Member, Diversity Initiative Committee
(2014-2015) |
Member, American Politics Junior Search
Committee (2012-2014) |
Member, Department Chair's Advisery
Committee (2010-2013, 2015-2016) |
Member, Department Priority Committee
(2012-2013, 2014-2015, 2016-2017) |
Member, Formal and Quantitative Methods
Curriculum Committee (2005-2006) |
Member, Formal and Quantitative Methods
Junior Search Committee (2009-2010, 2015-2016) |
Member, Formal and Quantitative Methods
Postdoc Search Committee (2009-current) |
Member, Graduate Admissions Committee
(2012-2013) |
Member, Reappointment Committee
(2014-2016) |
Member, Space Committee
(2014-2016) |
Member, Undergraduate Curriculum Committee
(2014-2015) |
Member, Undergraduate Exam Committee
(2007-2008) |
Member, Undergraduate Thesis Prize
Committee (2005-2006, 2008-2011) |
Executive Committee Member (2016-2018) |
Member, Search
Committee (2015-2017) |
Committee on National Statistics, Division
of Behavioral and Social Sciences and Education, Panel on the
Review and Evaluation of the 2014 Survey of Income and Program
Participation Content and Design (2014--2017)
|
Proposal Review Panel (2020)
|
President (2017-2019) |
Vice President and President-elect (2015-2017) |
Annual Meeting Committee, Chair (2011) |
Career Award Committee, Member (2015-2017) |
Program Committee for Annual Meeting (2012), Chair (2011) |
Graduate Student Selection Committee for the Annual Meeting (2005), Chair (2011) |
Statistical Software Award Committee (2009, 2010) |
Emerging Scholar Award Committee (2013),
Chair (2026) |
Journal of Educational and Behavioral Statistics Management Committee (2016-2018) |
External Review Committee member, Department
of Political Science, Boston University (2026) |
External Expert, The National Institute for Research in
Digital Science and Technology (Inria) (2025) |
External Review Committee member (New Data
Science PhD program), Emory University (2025) |
External Review Committee member (New Data
Science Masters programs), Brooks School of Public Policy, Cornell
University (2024) |
External Review Committee member, Department
of Political Science, University of Rochester (2022)
|
External Expert, Department of Methodology,
London School of Economics and Political Science (2017)
|
American Political Science
Association; American Statistical
Association; Midwest Political Science
Association; The Society for Political
Methodology. |