---
type: decision
entity_type: decision_market
name: "MetaDAO: Fund Futarchy Applications Research — Dr. Robin Hanson, George Mason University"
domain: internet-finance
status: active
parent_entity: "[[metadao]]"
platform: metadao
proposer: "Proph3t and Kollan"
proposal_url: "https://www.metadao.fi/projects/metadao/proposal/Dt6QxTtaPz87oEK4m95ztP36wZCXA9LGLrJf1sDYAwxi"
proposal_date: 2026-03-21
category: operations
summary: "$80,007 USDC for 6-month academic research at GMU led by Robin Hanson to experimentally test futarchy decision-market governance with 500 participants"
key_metrics:
  budget: "$80,007 USDC"
  duration: "6 months (April–September 2026)"
  participants: "500 students at $50 each"
pass_volume: "$42.16K total volume at time of filing"
tracked_by: rio
created: 2026-03-21
source_archive: "inbox/archive/2026-03-20-futardio-proposal-fund-futarchy-applications-research-dr-robin-hanson-george-m.md"
---

# MetaDAO: Fund Futarchy Applications Research — Dr. Robin Hanson, George Mason University

## Summary

META-036. Proposal to allocate $80,007 USDC from MetaDAO treasury to fund a six-month academic research engagement at George Mason University. Led by Dr. Robin Hanson — the economist who invented futarchy — the project will produce the first rigorous experimental evidence on whether decision-market governance actually produces better decisions than alternatives.

## Market Data (as of 2026-03-21)
- **Outcome:** Active (~2 days remaining)
- **Likelihood:** 50%
- **Total volume:** $42.16K
- **Pass price:** $3.4590 (+0.52% vs spot)
- **Spot price:** $3.4411
- **Fail price:** $3.3242 (-3.40% vs spot)

## Proposal Details

**Authors:** Proph3t and Kollan

**Period:** April–September 2026 (tentative on final grant agreement)

**Scope (from GMU Scope of Work, FP6572):**
- Core objective: explore feasibility and mechanics of futarchy — specifically how prediction markets aggregate beliefs to inform decision-making
- 500 student participants in structured decision-making scenarios, predictions and behaviors tracked to measure efficiency of market-based governance
- All protocols undergo IRB review
- PI: Dr. Robin Hanson — 0.34 person months academic year + 0.75 person months summer (designs experimental frameworks, analyzes market data)
- Co-PI: Dr. Daniel Houser (experimental economics) — 0.08 person months AY + 0.17 months summer (experiment design, data analysis, communication of results)
- GRA (TBN) — programming, recruiting, IRB, running sessions, data collection/analysis. Full AY + summer. **No funds requested for this position** — GMU is absorbing this cost.

**Budget breakdown (from GMU Budget Justification, FP6572):**

| Item | Amount |
|------|--------|
| Dr. Robin Hanson — 2 months summer salary | ~$30,000 |
| Dr. Daniel Houser — Co-investigator (0.85% AY + summer) | ~$6,000 |
| Graduate research assistant — full AY + summer | ~$19,007 |
| Participant payments (500 @ $50) | $25,000 |
| Fringe benefits (Faculty 31.4%, FICA 7.4%) | included above |
| F&A overhead (GMU rate: 59.1% MTDC) | **waived/absorbed** |
| **Total** | **$80,007** |

**Note on pricing:** GMU's standard F&A rate is 59.1% of modified total direct costs, approved by ONR. At that rate, the overhead alone on ~$55K in direct costs would add ~$32K — meaning the real cost of this research is closer to $112K but GMU is eating the difference. Combined with the unfunded GRA position, the university is effectively subsidizing this engagement. The $80K price tag significantly understates the actual resource commitment.

**Disbursement:** Two payments — 50% on agreement execution, 50% upon delivery of interim report. Natural checkpoint for the DAO.

**Onchain action:** Treasury transfer of $80,007 USDC. If GMU cannot accept crypto, MetaDAO servicing entity converts to USD at treasury's expense.

## Significance

This is the first attempt to produce peer-reviewed academic evidence on futarchy's core mechanism. Three strategic benefits:

1. **Legitimacy.** Published experimental results from the mechanism's inventor anchor MetaDAO's governance claims against competitors. No other DAO governance platform has academic validation.

2. **Protocol improvement.** If experiments reveal design weaknesses in current futarchy mechanics, MetaDAO gets data to fix them before they cause governance failures at scale. $80K to find a flaw is cheap compared to discovering it with $50M+ in treasury.

3. **Ecosystem growth.** Published findings attract institutional adopters evaluating futarchy governance. Academic credibility is the one thing that money alone cannot buy and competitors cannot replicate.

**Cost context:** $80K for a 6-month engagement with two professors and a GRA is below typical academic research rates ($200-500K). Hanson's existing advisory relationship (see [[metadao-hire-robin-hanson]]) likely reduced the price. The budget is 84% labor (Hanson $30K, Houser $6K, GRA $19K) and 16% participant payments ($25K).

**The 50% likelihood is puzzling.** This should be an easy pass — the cost is modest relative to MetaDAO's ~$9.5M treasury, the upside is asymmetric (validation or early flaw detection), and the proposers are the co-founders. The even split suggests either thin volume that hasn't found equilibrium, or genuine disagreement about whether academic research is the right priority vs. product development.

## Risks

- Primary: experimental results challenge futarchy assumptions — the proposal correctly frames this as a feature ("honest data either way")
- Secondary: IRB or recruitment delays; GRA timeline includes buffer
- The proposal explicitly states "Regardless, MetaDAO benefits from honest/accurate data either way" — intellectual honesty about the outcome

## Relationship to KB
- [[metadao]] — parent entity, treasury allocation
- [[metadao-hire-robin-hanson]] — prior proposal to hire Hanson as advisor (passed Feb 2025)
- [[futarchy is manipulation-resistant because attack attempts create profitable opportunities for arbitrageurs]] — the mechanism being experimentally tested
- [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds]] — the theoretical claim the research will validate or challenge
- [[futarchy implementations must simplify theoretical mechanisms for production adoption because original designs include impractical elements that academics tolerate but users reject]] — Hanson bridges theory and implementation; research may identify which simplifications matter

---

Relevant Entities:
- [[metadao]] — parent organization
- [[proph3t]] — co-proposer

Topics:
- [[internet finance and decision markets]]

## Full Proposal Text

*Source: metadao.fi, tabled 2026-03-20*

Author: Proph3t and Kollan

Category: Operations Direct Action

Proposed period: 6 Months: April – September 2026 (tentative on final grant agreement)

Budget: $80,007 USDC

---

### Summary

This proposal requests $80,007 USDC from the MetaDAO treasury to fund a six-month academic research engagement at George Mason University. Led by Dr. Robin Hanson — the economist who invented futarchy — this project will produce the first rigorous experimental evidence on the information-aggregation efficiency of decision-market governance, directly validating or challenging the theoretical basis on which MetaDAO operates.

A positive market outcome will authorize treasury disbursement and delegate authority to the MetaDAO director to execute a contract with GMU to initiate the engagement.

How and why this benefits MetaDAO and META token holders

* Legitimacy
  * Results will anchor MetaDAO's governance claims — a differentiator vs. competing platforms

* Protocol improvement
  * Experimental data will identify potential design weaknesses in current Futarchy mechanics, enabling targeted upgrades

* Ecosystem growth
  * Published findings will attract and support institutional adopters and projects evaluating the Futarchy Management tool on Solana


### Scope of work

The research team will design and run controlled experiments with 500 student participants (500@$50 each, $25,000 total) in structured decision-making scenarios. All protocols will undergo Institutional Review Board (IRB) review. Dr. Daniel Houser (experimental economics) will participate as co-investigator. A graduate research assistant will handle programming, recruitment, data collection, and analysis across the full academic year and summer.

### Budget Allocation

| Item | Amount (USDC) |
| :---- | ----: |
| Dr. Robin Hanson — 2 months summer salary | \~$30,000 |
| Dr. Daniel Houser — Co-investigator (0.85% AY \+ summer) | \~$6,000 |
| Graduate research assistant — full AY \+ summer | \~$19,007 |
| Participant payments (500 @ $50) | $25,000 |
| Total | $80,007 |

### Risks and Mitigations

The primary risk is that experimental results challenge some assumptions underlying futarchy — this is a feature, not a bug. Regardless, MetaDAO benefits from honest/accurate data either way.

A secondary risk is IRB or recruitment delays; the GRA timeline includes buffer for both.

We propose funds to be disbursed in two payments (subject to the final grant agreement): 50% on agreement execution, 50% upon delivery of the interim report, giving the DAO a natural checkpoint.

### Onchain action

Upon passing the program will authorize a treasury transfer of $80,007 USDC. In the event that George Mason University is unable to accept cryptocurrency payments, the MetaDAO servicing entity is authorized to convert the approved USDC to USD and execute a cash payment to GMU in the full amount of $80,007, with any conversion or transfer fees borne by the MetaDAO treasury. No further governance action required.

### Supporting Documentation

[https://drive.google.com/drive/folders/1MBStw8sAwjn7_cdoufQ-ooJjt4_nKY4o?usp=drive_link](https://drive.google.com/drive/folders/1MBStw8sAwjn7_cdoufQ-ooJjt4_nKY4o?usp=drive_link)
