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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) |
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) |
Graduate Student Association Faculty
Mentorship Award for outstanding graduate student mentorship,
awarded by the Graduate Student Association, Department of
Government, Harvard University (2023). |
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; social
sciences, 2022, 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).
|
Nominated for the
Graduate Mentoring Award, The McGraw Center for
Teaching and Learning, Princeton University (2010, 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). Also,
nominated for American Political Science Association
E.E. Schattschneider Award for the best doctoral dissertation in
the field of American government and politics. |
Llaudet, Elena, and Kosuke
Imai. (2022). Data Analysis for Social Science: A
Friendly and Practical Introduction. Princeton
University Press. |
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. |
McCartan, Cory, Jacob Brown, and Kosuke
Imai. ``Measuring
and Modeling Neighborhoods.'' American Political
Science Review, Forthcoming. |
Ben-Michael, Eli, Kosuke Imai, and
Zhichao Jiang. ``Policy
Learning with Asymmetric Counterfactual Utilities.''
Journal of the American Statistical Association,
Forthcoming. |
Ham, Dae Woong, Kosuke Imai, and Lucas
Janson. ``Using Machine
Learning to Test Causal Hypotheses in Conjoint
Analysis.'' Political Analysis,
Forthcoming. |
Eshima, Shusei, Kosuke Imai, and Tomoya
Sasaki. ``Keyword
Assisted Topic Models.'' American Journal of
Political Science, Forthcoming. |
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. |
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. |
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, 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.
|
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.
|
Imai, Kosuke and Zhichao Jiang. (2023). ``Principal Fairness for
Human and Algorithmic Decision-Making.''
Statistical Science, Vol. 38, No. 2 (July), pp317-328.
|
McCartan, Cory, Tyler Simko, and Kosuke
Imai. (2023). ``Researchers need better
access to US Census data.'' Science,
Vol. 380, No. 6648 pp. 902-903. |
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. |
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. |
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., Shiro Kuriwaki, Cory
McCartan, Evan T.R. 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), pp. 1-16. |
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, 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,
pp. 1-10. |
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. |
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:
50stateSimulations.'' 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
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 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 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 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 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. |
Fifield, Benjamin, Michael Higgins, Kosuke
Imai, and Alex Tarr. (2020). ``Automated Redistricting Simulation
Using Markov Chain Monte Carlo.'' Journal of
Computational and Graphical Statistics, Vol. 29, No. 4,
pp. 715-728. |
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. |
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. |
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. |
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. |
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.
|
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. |
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. |
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. |
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.
|
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.
|
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.
|
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.
|
Benjamin, Daniel J., et al.
(2018). ``Redefine Statistical
Significance.'' Nature Human
Behaviour. Vol. 2, No. 1, pp. 6-10. |
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.
|
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.
|
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. |
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.
|
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.
|
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. |
Lyall, Jason, Yuki Shiraito, and
Kosuke Imai. (2015). ``Coethnic Bias and Wartime
Informing.'' Journal of Politics, Vol. 77,
No. 3 (July), p. 833-848. |
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. |
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, Kentaro
Hirose, 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)
|
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)
|
Ho, Daniel E., Kosuke Imai, Gary King, and
Elizabeth Stuart. (2011). ``MatchIt:
Nonparametric Preprocessing for Parametric Causal
Inference.'' Journal of Statistical
Software, Vol. 42 (Special Volume on Political Methodology),
No. 8 (June), pp. 1-28.
|
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 (Special Volume on Political
Methodology), No. 5 (June), 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 the
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).
|
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.
|
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. (2009). ``Statistical Analysis of
Randomized Experiments with Nonignorable Binary Missing 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 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, 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. (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, 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.
|
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., 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 the Warren
Miller Prize. |
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, 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. abstract
reprinted in Journal of Computational and Graphical
Statistics, (2005) Vol. 14, No. 3 (September),
p. 747
|
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). ``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.
|
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. |
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, and Yang
Ning. (2023). ``Covariate Balancing Propensity Score.''
Handbook of Matching and Weighting Adjustments for Causal
Inference. Zubizarreta, Jose R., Elizabeth A. Stuart, Dylan
S. Small, and Paul R. Rosenbaum (eds). Chapman &
Hall. pp. 283-292. |
Imai, Kosuke. (2022). ``Causal
Diagrams and Social Science Research.''
Probabilistic and Causal Inference: The Works of Judea
Pearl. Geffner, Hector and Dechter, Rina and Halpern, Joseph
Y. (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), pp. 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. 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. 176, 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, H. D. Vinod ed., 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.
|
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. |
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)
``Essays on Political Methodology,''
Ph.D. Thesis, Department of Government, Harvard
University.
|
Imai, Kosuke, and Jeremy
Weinstein. (2000) ``Measuring the Economic
Impact of Civil War,'' Harvard University Center
for International Development, Working Paper Series, No. 51. |
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. |
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. |
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. |
Meta Research Grant
(2022). $50,000. |
National Science Foundation
(2021-2023). ``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
(2021-2023). ``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. |
Cisco Systems, Inc.
(2020-2022). ``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. |
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 |
The First Asian Political Methodology
Meeting (January 2014; co-organizer) |
The Experimental Research Workshop
(September 2012; co-organizer) |
The 12th World Meeting of the
International Society for Bayesian Analysis (June 2012; a member of
the organizing committee) |
Conference on Causal Inference and the
Study of Conflict and State Building (May 2012;
organizer) |
The 28th Annual Society for Political
Methodology Summer Meeting (July 2011; host) |
Conference on New Methodologies and their
Applications in Comparative Politics and International Relations
(February 2011; co-organizer) |
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) |
Kyla Chasalow (Statistics) |
Dae Woong Ham (Statistics). To be
Assistant Professor, Technology and Operations, Michigan Ross
Business School |
Zeyang Jia (Statistics) |
Christopher T. Kenny (Government) |
Jialu Li (Government) |
Taegyun Lim (Government) |
Qi Liu (Government) |
Ruofan Ma (Government) |
Jerry Min (Government) |
Mitsuru Mukaigawara (Government) |
Kentaro Nakamura (Harvard Kennedy School) |
Philip O'Sullivan (Statistics and Harvard
Law School) |
Sun Young Park (Government) |
Averell Schmidt (Harvard Kennedy School) |
Sooahn Shin (Government) |
Tyler Simko (Government). To be Assistant
Professor, Department of Political Science, University of
Michigan |
Souhardya Sengupta (Statistics) |
Dom Valentino (Government) |
Yi Zhang (Statistics) |
Melody Huang. To be Assistant Professor,
Department of Political Science and Depart- ment of Statistics and
Data Science, Yale University |
Adam Breuer (Ph.D. in 2023, Department of
Computer Science and Department of Government). Assistant Professor,
Department of Government and Department of Computer Science,
Dartmouth College |
Sayumi Miyano (Ph.D. in 2023, Department
of Politics, Princeton University) Postdoctoral Fellow, US-Japan
Program, Harvard University. Followed by 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). Postdoctoral
Fellow, Center for Data Science, New York University, followed by
Assitant Professor, Department of Statistics, Pennsylvania State
University |
Soichiro Yamauchi (Ph.D. in 2022,
Department of Government, Harvard University; Dissertation Committee
Chair). Data Scientist at Google |
Georgina Evans (Ph.D. in 2022, Department
of Government, Harvard University). Research Scientist, Google
Brain |
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 |
Michael Lingzhe Li (Ph.D. in 2021,
Operations Research, MIT). Assistant Professor, Technology and
Operations Management Unit, Harvard Business School |
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). Postdoctoral Fellow, Stanford
University |
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). Assistant Professor, Department
of Political Science, Massachusetts Institute of
Technology |
Max Goplerud (Ph.D. in 2020, Department of
Government, Harvard University). Assistant Professor, Department of
Political Science, University of Pittsburgh |
Naoki Egami (Ph.D. in 2020, Department of
Politics, Princeton University; Dissertation Committee Chair).
Assistant Professor, Department of Political Science, Columbia
University |
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 Political Science, University of British Columbia |
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 Science, Massachusetts
Institute of Technology |
Dustin Tingley (Ph.D. in 2010,
Department of Politics, Princeton University). Professor,
Department of Government, Harvard University
|
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 |
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). Scientific Coordinator, University of
Vienna |
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). Assistant Professor, Department
of Politics, Princeton University. |
Co-editor for Journal
of Causal Inference (2014-present). |
Associate editor for
American Journal of Political Science (2014-2019),
American Political Science Review (2022-present), 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 -
present), Journal of Politics (2007 - 2008, 2019-2020),
Journal of Research on Educational Effectiveness
(2014--2016), Political Analysis (2010 - 2013), 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, Management Science, Multivariate
Behavioral Research, National Science Foundation (Economics;
Methodology, Measurement, Statistics; Political Science), Natural
Sciences and Engineering Research Council of Canada, Nature
Machine Intelligence, 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, 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, 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) |
Member, Graduate Poster Session Committee (2018-2019) |
Member, Associate Professor Promotion
Review Committee (2022-2023) |
Chair, Senior Faculty Search Committee
(2021-2022) |
Member, Junior Faculty Search Committee (2018-2019) |
Member, Second Year Progress Committee
(2018-2019, 2020-2021) |
Member, Senior Faculty Search Committee,
Department of Economics (2022-2023) |
Co-chair, Postdoctoral Fellow Selection Committee, Harvard
Data Science Initiative (2022-2023) |
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) |
Journal of Educational and Behavioral Statistics Management Committee (2016-2018) |
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. |