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TZID:Europe/Paris
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UID:5991@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20220708T110000
DTEND;TZID=Europe/Paris:20220708T120000
DTSTAMP:20241120T200713Z
URL:https://www.i2m.univ-amu.fr/evenements/analyzing-districts-with-data-a
 nd-random-walks/
SUMMARY:Diana Davis (Phillips Exeter Academy): Analyzing districts with dat
 a and random walks
DESCRIPTION:Diana Davis: In the United States\, gerrymandering is the pract
 ice of drawing political district boundaries in a way that advantages one 
 group (political party\, racial group\, candidate) over another. Many peop
 le have tried and failed to define a metric to convincingly prove that a d
 istricting plan is designed in a biased way\, but a recent method using ra
 ndom walks is very promising. I’ll talk about work that I did with a gro
 up of 40 undergraduates did in summer 2020\, to do the background data wor
 k necessary to measure gerrymandering. I’ll also talk about how to measu
 re “fairness.” There will be lots of pictures.\n&nbsp\;\n\n\n\n\n\n\n\
 n\n\n\n\n\nAssessing congressional districting in Maine and New Hampshire 
 (arXiv:2011.06555)\n\n\n\n
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 020/01/Diana_Davis.jpg
CATEGORIES:Séminaire,Rauzy
LOCATION:Saint-Charles - FRUMAM  (2ème étage)\, 3 Place Victor Hugo\, Mar
 seille\, 13003\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=3 Place Victor Hugo\, Marse
 ille\, 13003\, France;X-APPLE-RADIUS=100;X-TITLE=Saint-Charles - FRUMAM  (
 2ème étage):geo:0,0
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