Collection of some relevant papers by the group :
- Guidance on the Ensemble Method for Analysing Redistricting Plans: [Here and Here] (2021)
- Multi-Scale Merge-Split Markov Chain Monte Carlo for Redistricting (2020)
- Metropolized Forest Recombination for Monte Carlo Sampling of Graph Partitions (2019)
- Optimal Legislative County Clustering in North Carolina [Here and Here] (2019)
- Quantifying Gerrymandering in North Carolina (2018)
- Evaluating Partisan Gerrymandering in Wisconsin (2017)
- Redistricting Drawing the Line (2017)
- Redistricting and the Will of the People (2014)
Some Expert Reports by the group:
-
- Harper v. Lewis (2019)
- Common Cause v. Lewis (2019)
- Covington v. North Carolina (2017)
- Provided Analysis for a Gill Amicus Brief (2017)
- Common Cause v. Rucho (2017)
Some Talks by the group:
- 2021 SIAM Block Public Lecture : Can you hear the will of the people in the Vote ? (Summer 2021)
- A slide deck on ensemble analysis, indices and county clusters (Spring 2021)
- Quantifying and Understanding Gerrymandering – How a quest to understand his state’s political geography led a mathematician to court (ICERM 2021)
- Herschlag at Kavli Frontiers of Science (July 2020)
- Herschlag at Tripods “Redistricting Conference 2020” at Duke (March 2020)
- Mattingly at IAS/Park City Summer School (July 2018)
- Discovering the geopolitical structure of the United States through Markov Chain Monte Carlo sampling (Slides, Video) (Turing Inst, May 2018)
- Herschlag at San Francisco Gerrymandering Conference (March 2018)
- Mattingly at Durham Gerrymandering Conference (Nov 2017)
- Data+ Team at Beyond Gerrymandering Talks (Nov 2016)
- Mattingly at TEDx Durham (July 2016)