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SUMMARY:Marion Campisi (San Jose State University)
DTSTART:20230306T223000Z
DTEND:20230306T234500Z
DTSTAMP:20260404T065404Z
UID:MathandDemoc/18
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MathandDemoc
 /18/">The Geometry and Election Outcome (GEO) Metric</a>\nby Marion Campis
 i (San Jose State University) as part of NYU CDS Math and Democracy Semina
 r\n\n\nAbstract\nWe introduce the Geography and Election Outcome (GEO) met
 ric\, a new method for identifying potential partisan gerrymanders. In con
 trast with currently popular methods\, the GEO metric uses both geographic
  information about a districting plan as well as district-level partisan d
 ata\, rather than just one or the other. We motivate and define the GEO me
 tric\, which gives a count (a non-negative integer) to each political part
 y. The count indicates the number of previously lost districts which that 
 party potentially could have had a 50% chance of winning\, without risking
  any currently won districts\, by making reasonable changes to the input m
 ap. We then analyze GEO metric scores for each party in several recent ele
 ctions. We show that this relatively easy to understand and compute metric
  can encapsulate the results from more elaborate analyses.\n\nMarion Campi
 si is an Associate Professor in the department of Mathematics and Statisti
 cs at San José State University. Her research interests lie in low dimens
 ional topology\, knot theory and the mathematics of redistricting.\n
LOCATION:https://researchseminars.org/talk/MathandDemoc/18/
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