Cory McCartan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Clinical Evaluation

Machine Learning

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

Science advances

Scientific data

This page only lists publications with an associated author ORCID identifier.

Publications

Christopher T Kenny, Cory McCartan, Shiro Kuriwaki, Tyler Simko, Kosuke Imai
Evaluating bias and noise induced by the U.S. Census Bureau's privacy protection methods. Science advances 10 (18) (2024)
Christopher T Kenny, Cory McCartan, Tyler Simko, Kosuke Imai
Census officials must constructively engage with independent evaluations. Proceedings of the National Academy of Sciences of the United States of America 121 (11) (2024)
Christopher T Kenny, Cory McCartan, Shiro Kuriwaki, Tyler Simko, Kosuke Imai
Evaluating bias and noise induced by the U.S. Census Bureau's privacy protection methods. Science advances 10 (18) (2024)
Christopher T Kenny, Cory McCartan, Tyler Simko, Kosuke Imai
Census officials must constructively engage with independent evaluations. Proceedings of the National Academy of Sciences of the United States of America 121 (11) (2024)
Christopher T Kenny, Cory McCartan, Tyler Simko, Kosuke Imai
Census officials must constructively engage with independent evaluations. Proceedings of the National Academy of Sciences of the United States of America 121 (11) (2024)
Christopher T Kenny, Cory McCartan, Tyler Simko, Shiro Kuriwaki, Kosuke Imai
Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition. Proceedings of the National Academy of Sciences of the United States of America 120 (25) (2023)
Cory McCartan, Christopher T Kenny, Tyler Simko, George Garcia, Kevin Wang, Melissa Wu, Shiro Kuriwaki, Kosuke Imai
Simulated redistricting plans for the analysis and evaluation of redistricting in the United States. Scientific data 9 (1) (2022)
Christopher T Kenny, Shiro Kuriwaki, Cory McCartan, Evan T R Rosenman, Tyler Simko, Kosuke Imai
The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census. Science advances 7 (41) (2021)