# 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.