2 KiB
META-036: Academic Research on Futarchy Information Aggregation
Proposed: 2026-03-21
Status: Active (as of 2026-03-23)
Market Likelihood: 50%
Trading Volume: $42.16K
Amount: $80,007 USDC
Summary
Proposal to fund 6-month controlled experimental research at George Mason University testing information-aggregation efficiency of futarchy governance. Led by Robin Hanson (futarchy inventor) with Dr. Daniel Houser as co-investigator.
Structure
- Participants: 500 students ($50 compensation each)
- Duration: 6 months
- IRB Status: Reviewed and approved
- Lead Researcher: Robin Hanson (summer salary ~$30K)
- Co-Investigator: Dr. Daniel Houser (~$6K)
- Graduate Research Assistant: ~$19K
- Participant Payments: $25K total
Research Significance
This represents the first rigorous experimental validation of futarchy's information aggregation mechanisms. The study design will primarily test Mechanism A (calibration selection under incentives) rather than Mechanism B (information acquisition and strategic revelation in real-money markets), as controlled laboratory conditions cannot fully replicate the natural ecology of private information flows.
Epistemic Properties
The proposal creates a recursive structure: MetaDAO using futarchy governance to fund futarchy research. The 50% market likelihood reveals community calibration about whether academic validation increases ecosystem value, reflecting either:
- Skepticism about academic validation translating to ecosystem growth
- Indifference to academic legitimacy among participants who already believe in futarchy
- Cost-benefit concerns about $80K relative to expected impact
Market Data
- Decision Market Volume: $42.16K
- Time Remaining: ~2 days (as of March 21)
- Outcome: Unresolved as of March 23, 2026
Expected Timeline
- Study Completion: Late 2026
- Results Publication: TBD
Related Proposals
First major academic research grant funded through MetaDAO futarchy governance.