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SUMMARY:Zarina Dhillon
DTSTART:20251124T223000Z
DTEND:20251124T233000Z
DTSTAMP:20260506T225516Z
UID:MathandDemoc/28
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MathandDemoc
 /28/">Evaluating Methods Used to Quantify Racial Segregation</a>\nby Zarin
 a Dhillon as part of NYU CDS Math and Democracy Seminar\n\n\nAbstract\nRac
 ial segregation has long been a problem in communities across the United S
 tates\, and in understanding how it is quantified we enhance our ability t
 o offer proposals for eradication. Many metrics have been developed for me
 asurement\, but none fully capture the nuances of this complicated issue: 
 This work provides an overview of four mathematical approaches that have b
 een developed to study segregation\, explains how they function\, and comp
 ares/contrasts their effectiveness in various situations in order to deter
 mine which best succeeds. An additional focus lies in a case study of Los 
 Angeles (LA) County. It was found that attempts to further standardize out
 puts erases crucial data\, and compressing this issue into one score is no
 t representative of its complexity. This suggests that future exploration 
 should attempt to study segregation more comprehensively rather than disti
 lling an incredibly complicated and important issue into a single statisti
 c.\n\nZarina Dhillon is earning her Masters in Applied Statistics at NYU S
 teinhart with a concentration on data science for social impact. Zarina is
  also a Parke Research Fellow in the Brennan Center for Justice's Democrac
 y Program\, where she focuses on voter turnout and redistricting. She earn
 ed her Bachelors in Mathematics from Claremont McKenna College as a proud 
 transfer student from Santa Barbara City College\, where she earned nine a
 ssociates degrees spanning economics\, philosophy\, communications\, psych
 ology\, and mathematics.\n
LOCATION:https://researchseminars.org/talk/MathandDemoc/28/
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