Gerrymandering

Some of our Data+ projects don’t end at after summer—the students keep the work alive out of a passion for the subject they worked on. Sachet Bangia, Econ/CompSci major, along with Sophie Guo, Math/PoliSci major, Bridget Dou, ECE/CompSci major, and Christy Vaughn, now a graduate student in the Program in Applied and Computational Mathematics at Princeton, participated […]

A three-judge federal district court panel in North Carolina again ruled in Common Cause v. Rucho that the North Carolina General Assembly violated the U.S. Constitution in 2016 when legislators manipulated congressional districts for partisan advantage. The case references Jonathan Mattingly’s work on gerrymandering. 

This article from the Proceedings of the National Academy of Sciences on the use of math tools to show gerrymandering features the work of iiD’s Jonathan Mattingly.  

Jonathan Mattingly’s iiD projects on gerrymandering recently resulted in a published paper on the topic in Arxiv. The paper represents the most comprehensive analysis of the team’s work and was the basis of Mattingly’s expert testimony for the Common Cause Law suit against North Carolina for partisan gerrymandering. Among the paper’s authors are four undergraduates, a graduate student […]

Jonathan Mattingly, professor of mathematics and statistical science at Duke and iiD faculty member, and his Data+ team are mentioned in this article about gerrymandering. 

Duke Mathematics Professor Jonathan Mattingly’s algorithm demonstrating political gerrymandering in North Carolina’s district mapping was a focal point in the ruling of the 4th Circuit of Appeals judge earlier this week. The author of the lead opinion, 4th U.S. Circuit Court of Appeals Judge James Wynn, said Mattingly’s work had gone a long way toward showing the […]

Duke Mathematics chair Jonathan Mattingly’s computer algorithm work on district gerrymandering in North Carolina has been referenced in a January 9, 2018 Federal Court ruling that Republicans have unfairly mapped North Carolina district boundaries for Republicans to have an advantage in elections. This process has allowed Republican representatives in North Carolina to maintain a majority and to […]

This article highlights iiD faculty member Jonathan Mattingly’s work mathematically dissecting the structure of a typical redistricting to identify gerrymandering.

In the first decision of its kind, federal judges threw out North Carolina’s congressional map, saying it was drawn to favor Republicans​. iiD faculty member Jonathan Mattingly testified in the case.

Duke mathematics professor and iiD faculty member Jonathan Mattingly talks about his work with mathematical modeling and gerrymandering.