Mathematically Quantifying Gerrymandering and the Non-responsiveness of
  the 2021 Georgia Congressional Districting Plan

dc.contributor.author	Zhao, Zhanzhan
dc.contributor.author	Hettle, Cyrus
dc.contributor.author	Gupta, Swati
dc.contributor.author	Mattingly, Jonathan
dc.contributor.author	Randall, Dana
dc.contributor.author	Herschlag, Gregory
dc.date.accessioned	2022-04-01T14:03:13Z
dc.date.available	2022-04-01T14:03:13Z
dc.date.issued	2022-03-12
dc.date.updated	2022-04-01T14:03:12Z
dc.identifier.uri	https://hdl.handle.net/10161/24759
dc.subject	cs.CY
dc.subject	cs.CY
dc.subject	stat.CO
dc.title	Mathematically Quantifying Gerrymandering and the Non-responsiveness of the 2021 Georgia Congressional Districting Plan
dc.type	Preprint
duke.contributor.orcid	Mattingly, Jonathan\|0000-0002-1819-729X
duke.preprint.url	http://arxiv.org/abs/2203.06552v1
pubs.organisational-group	Duke
pubs.organisational-group	Trinity College of Arts & Sciences
pubs.organisational-group	Mathematics
pubs.organisational-group	Statistical Science

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