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SUMMARY:Fair\, Representative\, and Transparent Algorithms for Citizens’
  Assemblies
DTSTART:20230111T090000
DTEND:20230111T100000
DTSTAMP:20260405T201736Z
UID:74ba18083a29df4cd94668ac469f61d87501750da4fac10ba108d876
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Paul Gölz\nAbstract:\nGlobally\, an alternative approach 
 to democracy is gaining momentum: citizens’ assemblies\, in which random
 ly selected constituents discuss policy questions and propose solutions. D
 omain experts have two conflicting requirements on the selection of these 
 assemblies: (1) assemblies should reflect the demographics of the populati
 on\, and (2) all constituents should have equal chances of being selected.
  In this talk\, I will describe work on designing and analyzing randomized
  selection algorithms that favorably trade off these objectives. I will sh
 are experiences with deploying these algorithms on our online platform Pan
 elot and discuss what we learned from practitioners in the process of adop
 tion. Finally\, I will explore how these lessons sparked work on other asp
 ects of citizens’ assemblies\, such as making the random selection proce
 ss transparent and managing the discussions within the assembly.\n\nBio:\n
 Paul Gölz is a postdoctoral researcher at the School of Engineering and A
 pplied Sciences at Harvard. He received his Ph.D. in computer science from
  Carnegie Mellon University under the supervision of Ariel Procaccia. Paul
  studies democratic decision-making and the fair allocation of resources\,
  using tools from algorithms\, optimization\, and artificial intelligence.
  Algorithms developed in his work are now deployed to select citizens’ a
 ssemblies around the world and to allocate refugees for a major US resettl
 ement agency.
LOCATION:ODY 4 03 https://plan.epfl.ch/?room==ODY%204%2003
STATUS:CONFIRMED
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