Introducing Doxamarket: Information Markets for Decentralized Governance

Abstract: Prediction markets offer a novel and transformative approach to enhancing decision-making processes within corporate governance. Google’s internal markets, Prophet and Gleangen, highlight prediction markets’ versatility and impact across different product domains and operational outcomes. We encourage further research on the performance optimization capabilities that internal prediction markets can have on corporate governance.

Prediction markets have also shown promise in addressing complex resource allocation problems, particularly in the case of grants and public goods funding. Doxamarket’s first experiment Didomi (https://gov.optimism.io/t/introducing-doxamarket-information-markets-for-decentralized-governance/7962) is an attempt to showcase prediction markets through the lens of decentralized governance. Participants speculate the anticipated outcomes of Optimism’s Farcaster Mission Request (https://app.charmverse.io/op-grants/proposals) in order to influence decisions made by the grants council.

To fully harness the “wisdom of the crowd,” further exploration is needed on how prediction markets can encourage participants to disclose their true preferences and contribute meaningful insights into corporate decision-making processes. This line of research could significantly advance our understanding of the strategic value of prediction markets in optimizing corporate governance and operational efficacy.

game theoryhuman-computer interactionsocial and information networkslaw and economics

Audience: researchers in the topic

( chat )

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Metagovernance Seminar

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The Metagovernance Seminar invites individuals working in online governance to present their work to a community of other researchers and practitioners. Topics of the seminar include, but are not limited to, computational tools for governance, governance incidents and case studies from online communities, topics in cryptoeconomics, and the design of digital constitutions.

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