BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69b6ab5a2a478
DTSTART;TZID=America/Toronto:20191128T140000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20191128T140000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-fa
 ir-representation-group-decision-making
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Fair Representation in Group Decision-making
CLASS:PUBLIC
DESCRIPTION:EDITH ELKIND\, DEPARTMENT OF COMPUTER SCIENCE\n_University of O
 xford_\n\nSuppose that a group of agents want to select k &gt; 1 alternatives
  from\na given set\, and each agent indicates which of the alternatives ar
 e\nacceptable to her: the alternatives could be conference submissions\,\n
 applicants for a scholarship or locations for a fast food chain. In\nthis 
 setting it is natural to require that the set of winners\nrepresents the v
 oters fairly\, in the sense that large groups of voters\nwith similar pref
 erences have at least some of their approved\nalternatives in the winning 
 set. 
DTSTAMP:20260315T125138Z
END:VEVENT
END:VCALENDAR