Video URL

https://old.simons.berkeley.edu/node/22925

Introduction to (Computational) Redistricting

(2022). Introduction to (Computational) Redistricting. The Simons Institute for the Theory of Computing. https://old.simons.berkeley.edu/node/22925

Introduction to (Computational) Redistricting. The Simons Institute for the Theory of Computing, Nov. 08, 2022, https://old.simons.berkeley.edu/node/22925 

          @misc{ scivideos_22925,
            doi = {},
            url = {https://old.simons.berkeley.edu/node/22925},
            author = {},
            keywords = {},
            language = {en},
            title = {Introduction to (Computational) Redistricting},
            publisher = {The Simons Institute for the Theory of Computing},
            year = {2022},
            month = {nov},
            note = {22925 see, \url{https://scivideos.org/simons-institute/22925}}
          }
Moon Duchin (Tufts University)
Source Repository Simons Institute
Subject

Abstract

Assuming no particular background, I'll give a high-level introduction to the problem of electoral redistricting in the U.S. and the helpful and not-so-helpful ways that algorithmic district generation has intervened on law and policy. This talk will set up the following talk, in which Aloni Cohen will talk about the panic about differential privacy in the redistricting data.