43 lines
No EOL
2.4 KiB
Markdown
43 lines
No EOL
2.4 KiB
Markdown
# META-036: Academic Futarchy Research Funding
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**Proposal ID:** Dt6QxTtaPz87oEK4m95ztP36wZCXA9LGLrJf1sDYAwxi
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**Amount:** $80,007 USDC
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**Duration:** 6 months
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**Status:** Active (as of March 23, 2026)
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**Market likelihood:** 50%
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**Trading volume:** $42.16K
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## Overview
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MetaDAO proposal to fund academic research at George Mason University producing "first rigorous experimental evidence on information-aggregation efficiency of futarchy governance." Led by Robin Hanson (futarchy inventor) as PI with Dr. Daniel Houser as co-investigator.
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## Budget Breakdown
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- Hanson summer salary: ~$30K
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- Graduate Research Assistant: ~$19K
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- Participant payments: $25K (500 students at $50 each)
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- Houser co-PI: ~$6K
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- Total: $80,007 USDC
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## Research Design
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500 student participants in controlled experiments testing information aggregation efficiency under futarchy-like incentive structures. IRB-reviewed academic protocol following standard experimental economics methodology.
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## Epistemic Significance
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The proposal's existence reveals that:
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1. **Mechanism B is empirically open:** Hanson is designing experiments to test whether futarchy markets actually produce better information aggregation. If this were already established, the experiments would be unnecessary.
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2. **Study design limitations:** Controlled experiments with 500 students can test Mechanism A (calibration selection under incentives) more directly than Mechanism B (natural ecology of private information flowing to prices through real financial stakes). Replicating Mechanism B requires real-money market contexts.
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3. **Community calibration:** The 50% market likelihood reveals even split on whether academic validation benefits META token price, potentially reflecting skepticism about academic legitimacy translating to ecosystem growth, indifference among believers, or cost-benefit concerns.
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## Recursive Structure
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META-036 is the first case of MetaDAO using futarchy governance to fund futarchy research—a recursive structure with interesting epistemic properties. If the proposal passes, the market reveals belief that academic validation increases ecosystem value. If it fails, the market says academic validation doesn't matter for token price.
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## Related
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- speculative-markets-aggregate-information-through-incentive-and-selection-effects-not-wisdom-of-crowds
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- MetaDAOs-futarchy-implementation-shows-limited-trading-volume-in-uncontested-decisions |