47 lines
No EOL
2 KiB
Markdown
47 lines
No EOL
2 KiB
Markdown
# META-036: Academic Research on Futarchy Information Aggregation
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**Proposed:** 2026-03-21
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**Status:** Active (as of 2026-03-23)
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**Market Likelihood:** 50%
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**Trading Volume:** $42.16K
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**Amount:** $80,007 USDC
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## Summary
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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.
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## Structure
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- **Participants:** 500 students ($50 compensation each)
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- **Duration:** 6 months
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- **IRB Status:** Reviewed and approved
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- **Lead Researcher:** Robin Hanson (summer salary ~$30K)
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- **Co-Investigator:** Dr. Daniel Houser (~$6K)
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- **Graduate Research Assistant:** ~$19K
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- **Participant Payments:** $25K total
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## Research Significance
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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.
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## Epistemic Properties
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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:
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- Skepticism about academic validation translating to ecosystem growth
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- Indifference to academic legitimacy among participants who already believe in futarchy
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- Cost-benefit concerns about $80K relative to expected impact
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## Market Data
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- **Decision Market Volume:** $42.16K
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- **Time Remaining:** ~2 days (as of March 21)
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- **Outcome:** Unresolved as of March 23, 2026
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## Expected Timeline
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- **Study Completion:** Late 2026
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- **Results Publication:** TBD
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## Related Proposals
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First major academic research grant funded through MetaDAO futarchy governance. |