extract: 2026-03-23-meta036-mechanism-b-implications-research-synthesis

Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>

decisions/internet-finance/metadao-meta036-hanson-futarchy-research.md

@@ -0,0 +1,47 @@
+# 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.

inbox/queue/2026-03-23-meta036-mechanism-b-implications-research-synthesis.md

@@ -7,9 +7,12 @@ date: 2026-03-21
 domain: internet-finance
 secondary_domains: [mechanisms, collective-intelligence]
 format: research-note
-status: unprocessed
+status: processed
 priority: high
 tags: [metadao, robin-hanson, futarchy, mechanism-b, information-aggregation, academic-research, gmu]
+processed_by: rio
+processed_date: 2026-03-25
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -64,3 +67,18 @@ The META-036 study may produce the first empirical data on Mechanism A in futarc
 PRIMARY CONNECTION: [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds]]
 WHY ARCHIVED: Research synthesis note identifying that META-036 creates a documented gap in the KB's Mechanism B evidence — the operative theoretical claim for Belief #1 has no experimental validation, and the first study to provide it is now funded (conditional on vote outcome)
 EXTRACTION HINT: The core extraction is NOT a claim but a belief update: the Session 9 claim candidate ("two separable epistemic mechanisms") should include a scope note that Mechanism B is theoretically grounded but experimentally unvalidated. META-036 is the first attempt to close this gap.
+
+
+## Key Facts
+- META-036 proposes $80,007 USDC for GMU futarchy research
+- Study involves 500 student participants at $50 each
+- Robin Hanson summer salary budgeted at ~$30K
+- Dr. Daniel Houser co-investigator compensation ~$6K
+- Graduate Research Assistant budgeted at ~$19K
+- Participant payments total $25K
+- Decision market reached $42.16K volume
+- Market likelihood at 50% as of March 21, 2026
+- Approximately 2 days remaining on vote as of March 21
+- Study duration: 6 months
+- IRB-reviewed and approved
+- Expected results: late 2026