From MFKP_wiki

Jump to: navigation, search


Science and Culture: math tools send legislators back to the drawing board

Stephen Ornes



UPDATE. On June 18, 2018, after this article went to press, the Supreme Court of the United States ruled on two high-profile cases related to partisan gerrymandering. In effect, the rulings sidestepped the issue of when partisan gerrymandering is unconstitutional. Both cases—one concerning voting districts in Wisconsin, the other in Maryland—were sent back to lower courts. On June 25, the SCOTUS ruled on two other cases—in Texas and North Carolina—that will mostly let stand the use of purportedly gerrymandered maps.

Abstract. On January 9, 2018, a trio of federal judges made history when they ruled that the boundaries of North Carolina’s congressional voting districts gave an unfair advantage to Republican candidates. It was the first case in the nation in which a federal court had declared congressional maps unconstitutional because of intentional bias in favor of one party. The case was all the more remarkable because the court decision relied in part on mathematical tools that can probe the practice of gerrymandering—the drawing of voting districts to give an intentional advantage to one party.


Proceedings of the National Academy of Sciences, Vol. 115, No. 26. (26 June 2018), pp. 6515-6517, https://doi.org/10.1073/pnas.1807901115 
Key: INRMM:14608074

Keywords

                       

Article-Level Metrics (Altmetrics)
Digital Object Identifier


Available versions (may include free-access full text)

DOI, HighWire, HighWire (PDF), Pubget, PubMed (Search)

Further search for available versions

Search in ResearchGate (or try with a fuzzier search in ResearchGate)
Search in Mendeley (or try with a fuzzier search in Mendeley)

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core
Metadata search: CrossRef DOI, DataCite DOI

Digital preservation of this INRMM-MiD record

Internet Archive

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.