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SUMMARY:David Zhou
DTSTART:20240508T160000Z
DTEND:20240508T170000Z
DTSTAMP:20260417T105325Z
UID:Metagov/199
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/Metagov/199/
 ">Introducing Doxamarket: Information Markets for Decentralized Governance
 </a>\nby David Zhou as part of Metagovernance Seminar\n\n\nAbstract\nPredi
 ction markets offer a novel and transformative approach to enhancing decis
 ion-making processes within corporate governance. Google’s internal mark
 ets\, Prophet and Gleangen\, highlight prediction markets’ versatility a
 nd impact across different product domains and operational outcomes. We en
 courage further research on the performance optimization capabilities that
  internal prediction markets can have on corporate governance.\n\nPredicti
 on markets have also shown promise in addressing complex resource allocati
 on problems\, particularly in the case of grants and public goods funding.
  Doxamarket’s first experiment Didomi (https://gov.optimism.io/t/introdu
 cing-doxamarket-information-markets-for-decentralized-governance/7962) is 
 an attempt to showcase prediction markets through the lens of decentralize
 d governance. Participants speculate the anticipated outcomes of Optimism
 ’s Farcaster Mission Request (https://app.charmverse.io/op-grants/propos
 als) in order to influence decisions made by the grants council.\n\nTo ful
 ly harness the “wisdom of the crowd\,” further exploration is needed o
 n how prediction markets can encourage participants to disclose their true
  preferences and contribute meaningful insights into corporate decision-ma
 king processes. This line of research could significantly advance our unde
 rstanding of the strategic value of prediction markets in optimizing corpo
 rate governance and operational efficacy.\n
LOCATION:https://researchseminars.org/talk/Metagov/199/
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