https://github.com/corymccartan/harm-redistricting

Measuring Individual Partisan Harm in Redistricting

https://github.com/corymccartan/harm-redistricting

Science Score: 36.0%

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Repository

Measuring Individual Partisan Harm in Redistricting

Basic Info
  • Host: GitHub
  • Owner: CoryMcCartan
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 35.2 MB
Statistics
  • Stars: 7
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 5 years ago · Last pushed 11 months ago
Metadata Files
Readme

README.md

Individual and Differential Harm in Redistricting

Cory McCartan and Christopher T. Kenny

Harm schematic

Social scientists have developed dozens of measures for assessing partisan bias in redistricting. But these measures cannot be easily adapted to other groups, including those defined by race, class, or geography. Nor are they applicable to single- or no-party contexts such as local redistricting. To overcome these limitations, we propose a unified framework of harm for evaluating the impacts of a districting plan on individual voters and the groups to which they belong. We consider a voter harmed if their chosen candidate is not elected under the current plan, but would be under a different plan. Harm improves on existing measures by both focusing on the choices of individual voters and directly incorporating counterfactual plans. We discuss strategies for estimating harm, and demonstrate the utility of our framework through analyses of partisan gerrymandering in New Jersey, voting rights litigation in Alabama, and racial dynamics of Boston City Council elections.

Replication

To replicate the figures and analyses in the paper, run the scripts in R/ in order:

r lapply(sort(Sys.glob("R/*.R")), source)

Then run quarto::quarto_render("paper/harm.qmd") to generate the paper.

Owner

  • Name: Cory McCartan
  • Login: CoryMcCartan
  • Kind: user
  • Company: New York University

Faculty Fellow at NYU's Center for Data Science, working on computational social science problems and open-source R software.

GitHub Events

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  • Push event: 22
  • Pull request event: 3
  • Create event: 2
Last Year
  • Push event: 22
  • Pull request event: 3
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Last synced: about 1 year ago

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  • Total Commits: 225
  • Total Committers: 2
  • Avg Commits per committer: 112.5
  • Development Distribution Score (DDS): 0.276
Past Year
  • Commits: 6
  • Committers: 2
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
Cory McCartan c****n@g****m 163
Christopher Kenny c****4@c****u 62
Committer Domains (Top 20 + Academic)

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Last synced: about 1 year ago

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  • Average comments per issue: 0
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Past Year
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  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 4 minutes
  • Issue authors: 0
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  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
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  • christopherkenny (2)
  • CoryMcCartan (1)
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