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BEGIN:VEVENT
DTSTAMP:20260612T025515Z
DTSTART;VALUE=DATE-TIME:20260603T160000
DTEND;VALUE=DATE-TIME:20260603T180000
SUMMARY:CRETA Seminar - James Best (CMU)
TZID:Europe/London
UID:20260603-8ac672c79e7300d8019e824142e50976@warwick.ac.uk
CREATED:20260602T111258Z
DESCRIPTION:Title: Divide and Confer: Aggregating Information without Ver
 ification. Here is a link to the paper. Abstract We study mechanisms for
  aggregating information divided across a large population of biased sen
 ders. Each sender privately observes an unconditionally independent sign
 al about an unknown state\, so no sender’s report can be verified agains
 t another’s. A receiver makes a binary accept/reject decision whose payo
 ffs depend on the state. Even though cross-verification is impossible\, 
 we show the receiver can benefit from informational division. We introdu
 ce a novel incentive-compatibility-in-the-large approach that studies op
 timal design via the large-population limit. For fixed population size\,
  optimal mechanisms are in general complex. However\, we show that in th
 e limit they converge to a simple mechanism that depends only on the pay
 off from acceptance\, and punishes excessive consensus in the direction 
 of the common bias. These surplus burning punishments yield payoffs boun
 ded away from the first best\; the resulting inefficiency demonstrates h
 ow our concept of informational division is distinct from standard model
 s of information in large populations.
LOCATION:S0.19
CATEGORIES:CRETA Seminar
LAST-MODIFIED:20260602T111258Z
ORGANIZER;CN=Gill Gudger:
END:VEVENT
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