Cory McCartan

Cory McCartan

Harvard University

H-index: 6

North America-United States

About Cory McCartan

Cory McCartan, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Computational social science, Redistricting, Bayesian modeling, Causal inference, Elections.

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

Suggested searches

Census officials must constructively engage with independent evaluations

Projective Averages for Summarizing Redistricting Ensembles

Measuring and Modeling Neighborhoods

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

Sequential Monte Carlo for sampling balanced and compact redistricting plans

Recalibration of Predicted Probabilities Using the “Logit Shift”: Why Does It Work, and When Can It Be Expected to Work Well?

Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition

Cory McCartan Information

University

Position

Department of Statistics

Citations(all)

172

Citations(since 2020)

172

Cited By

0

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Cory McCartan Skills & Research Interests

Computational social science

Redistricting

Bayesian modeling

Causal inference

Elections

Top articles of Cory McCartan

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

Projective Averages for Summarizing Redistricting Ensembles

arXiv preprint arXiv:2401.06381

2024/1/12

Cory Mccartan
Cory Mccartan

H-Index: 0

Measuring and Modeling Neighborhoods

American Political Science Review

2021/10/26

Cory Mccartan
Cory Mccartan

H-Index: 0

Kosuke Imai
Kosuke Imai

H-Index: 48

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

arXiv preprint arXiv:2306.07521

2023/6/13

Sequential Monte Carlo for sampling balanced and compact redistricting plans

The Annals of Applied Statistics

2023/12

Cory Mccartan
Cory Mccartan

H-Index: 0

Kosuke Imai
Kosuke Imai

H-Index: 48

Recalibration of Predicted Probabilities Using the “Logit Shift”: Why Does It Work, and When Can It Be Expected to Work Well?

Political Analysis

2023/10

Cory Mccartan
Cory Mccartan

H-Index: 0

Santiago Olivella
Santiago Olivella

H-Index: 9

Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition

Proceedings of the National Academy of Sciences

2023/6/20

Researchers need better access to US Census data

Science

2023/6/2

Cory Mccartan
Cory Mccartan

H-Index: 0

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

Finding Pareto efficient redistricting plans with short bursts

arXiv preprint arXiv:2304.00427

2023/4/2

Cory Mccartan
Cory Mccartan

H-Index: 0

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

Estimating Racial Disparities When Race is Not Observed

arXiv preprint arXiv:2303.02580

2023/3/5

Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System

arXiv preprint arXiv:2210.08383

2022/10/15

Computational and Bayesian Methods for Geographic Data in the Social Sciences

2023

Cory Mccartan
Cory Mccartan

H-Index: 0

Simulated redistricting plans for the analysis and evaluation of redistricting in the United States

Scientific Data

2022/11/11

Individual and differential harm in redistricting

SocArXiv. June

2022/6/24

Cory Mccartan
Cory Mccartan

H-Index: 0

The use of differential privacy for census data and its impact on redistricting: The case of the 2020 US Census

Science advances

2021/10/6

The impact of the US Census Disclosure Avoidance System on redistricting and voting rights analysis

arXiv preprint arXiv:2105.14197

2021/5/29

Geodesic interpolation on Sierpinski gaskets

Journal of Fractal Geometry

2021

See List of Professors in Cory McCartan University(Harvard University)

Co-Authors

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