Kosuke Imai

Kosuke Imai

Harvard University

H-index: 64

North America-United States

About Kosuke Imai

Kosuke Imai, With an exceptional h-index of 64 and a recent h-index of 54 (since 2020), a distinguished researcher at Harvard University, specializes in the field of applied statistics, causal inference, computational social science, quantitative social science, political methodology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluating bias and noise induced by the US Census Bureau’s privacy protection methods

Estimating racial disparities when race is not observed

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

Suggested searches

Keyword‐assisted topic models

Does AI help humans make better decisions? A methodological framework for experimental evaluation

Evaluating and Pricing Health Insurance in Lower-Income Countries: A Field Experiment in India

Census officials must constructively engage with independent evaluations

Kosuke Imai Information

University

Position

Professor of Government and of Statistics

Citations(all)

39522

Citations(since 2020)

24184

Cited By

24750

hIndex(all)

64

hIndex(since 2020)

54

i10Index(all)

107

i10Index(since 2020)

93

Email

University Profile Page

Google Scholar

Kosuke Imai Skills & Research Interests

applied statistics

causal inference

computational social science

quantitative social science

political methodology

Top articles of Kosuke Imai

Evaluating bias and noise induced by the US Census Bureau’s privacy protection methods

arXiv preprint arXiv:2306.07521

2023/6/13

Estimating racial disparities when race is not observed

arXiv preprint arXiv:2303.02580

2023/3/5

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

arXiv preprint arXiv:2404.17019

2024/4/25

Michael Lingzhi Li
Michael Lingzhi Li

H-Index: 5

Kosuke Imai
Kosuke Imai

H-Index: 48

Keyword‐assisted topic models

American Journal of Political Science

2023

Does AI help humans make better decisions? A methodological framework for experimental evaluation

arXiv preprint arXiv:2403.12108

2024/3/18

Evaluating and Pricing Health Insurance in Lower-Income Countries: A Field Experiment in India

2024/3/18

Census officials must constructively engage with independent evaluations

Proceedings of the National Academy of Sciences

2024/3/12

Cory Mccartan
Cory Mccartan

H-Index: 0

Kosuke Imai
Kosuke Imai

H-Index: 48

The Cram Method for Efficient Simultaneous Learning and Evaluation

arXiv preprint arXiv:2403.07031

2024/3/11

Kosuke Imai
Kosuke Imai

H-Index: 48

Michael Lingzhi Li
Michael Lingzhi Li

H-Index: 5

Policy Learning with Asymmetric Counterfactual Utilities

Journal of the American Statistical Association

2024/2/12

Race and ethnicity data for first, middle, and surnames

Scientific Data

2023/5/19

Santiago Olivella
Santiago Olivella

H-Index: 9

Kosuke Imai
Kosuke Imai

H-Index: 48

Making Differential Privacy Work for Census Data Users

arXiv preprint arXiv:2305.07208

2023/5/12

Cory Mccartan
Cory Mccartan

H-Index: 0

Kosuke Imai
Kosuke Imai

H-Index: 48

A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

arXiv preprint arXiv:2305.05833

2023/5/10

Principal fairness for human and algorithmic decision-making

Statistical Science

2023/5

Kosuke Imai
Kosuke Imai

H-Index: 48

Zhichao Jiang
Zhichao Jiang

H-Index: 5

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

2023/4

Kosuke Imai
Kosuke Imai

H-Index: 48

Zhichao Jiang
Zhichao Jiang

H-Index: 5

Appendices to “Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans”

2023/3/30

Cory Mccartan
Cory Mccartan

H-Index: 0

Kosuke Imai
Kosuke Imai

H-Index: 48

Reply to the discussants of “Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment.” Journal of the Royal …

2023/2/17

Kosuke Imai
Kosuke Imai

H-Index: 48

Zhichao Jiang
Zhichao Jiang

H-Index: 5

Experimental evaluation of individualized treatment rules

Journal of the American Statistical Association

2023/1/2

Kosuke Imai
Kosuke Imai

H-Index: 48

Michael Lingzhi Li
Michael Lingzhi Li

H-Index: 5

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

2023/4

Kosuke Imai
Kosuke Imai

H-Index: 48

Zhichao Jiang
Zhichao Jiang

H-Index: 5

Matching methods for causal inference with time‐series cross‐sectional data

American Journal of Political Science

2023

Kosuke Imai
Kosuke Imai

H-Index: 48

In Song Kim
In Song Kim

H-Index: 12

See List of Professors in Kosuke Imai University(Harvard University)

Co-Authors

academic-engine