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

CT Kenny, S Kuriwaki, C McCartan, ETR Rosenman… - Science …, 2021 - science.org
Census statistics play a key role in public policy decisions and social science research.
However, given the risk of revealing individual information, many statistical agencies are …

Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition

CT Kenny, C McCartan, T Simko… - Proceedings of the …, 2023 - National Acad Sciences
Congressional district lines in many US states are drawn by partisan actors, raising
concerns about gerrymandering. To separate the partisan effects of redistricting from the …

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

C McCartan, CT Kenny, T Simko, G Garcia III, K Wang… - Scientific Data, 2022 - nature.com
This article introduces the 50stateSimulations, a collection of simulated congressional
districting plans and underlying code developed by the Algorithm-Assisted Redistricting …

Validating the applicability of bayesian inference with surname and geocoding to congressional redistricting

K DeLuca, JA Curiel - Political Analysis, 2023 - cambridge.org
Ensuring descriptive representation of racial minorities without packing minorities too
heavily into districts is a perpetual difficulty, especially in states lacking voter file race data …

[图书][B] Analyzing us census data: Methods, maps, and models in R

K Walker - 2023 - taylorfrancis.com
Census data is widely used by practitioners to understand demographic change, allocate
resources, address inequalities, and make sound business decisions. Until recently, projects …

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

CT Kenny, S Kuriwaki, C McCartan… - arXiv preprint arXiv …, 2021 - arxiv.org
The US Census Bureau plans to protect the privacy of 2020 Census respondents through its
Disclosure Avoidance System (DAS), which attempts to achieve differential privacy …

School desegregation by redrawing district boundaries

T Simko - Scientific Reports, 2024 - nature.com
Abstract Schools in the United States remain heavily segregated by race and income.
Previous work demonstrates districts can promote group diversity within their schools with …

Finding Pareto efficient redistricting plans with short bursts

C McCartan - arXiv preprint arXiv:2304.00427, 2023 - arxiv.org
Redistricting practitioners must balance many competing constraints and criteria when
drawing district boundaries. To aid in this process, researchers have developed many …

Partisan Gerrymandering and Political Geography: A Simulation-Based Analysis on the Effectiveness of the Efficiency Gap and Mean–Median as Measures of Partisan …

Z Zhu - Election Law Journal: Rules, Politics, and Policy, 2024 - liebertpub.com
Gerrymandering has become much more frequent in the United States in the past 20 years.
Researchers have developed measures, such as the efficiency gap, to help courts …

[PDF][PDF] Individual and differential harm in redistricting

C McCartan, CT Kenny - SocArXiv. June, 2022 - files.osf.io
Social scientists have developed dozens of measures for assessing partisan bias in
redistricting. But these measures are not easily adapted to other groups, including groups …