A geoprospective simocracy platform: governance by simulation.
Communities managing shared natural resources configure AI agents to represent their stakeholders, choose institutional rules, and watch agents govern real territory under those rules. Configure values, delegate authority, run the simulation, review outcomes, adjust.
Built for the Mozilla Foundation Democracy x AI Incubator Cohort.
Governance decisions should be testable before they're binding. Instead of debating institutional designs in the abstract, communities run them and see what happens to their territory in economic terms.
Stakeholders express their values and constraints, delegate governance authority to AI agents, and review how those agents governed. It's democratic participation through delegation and evidence, not just voting.
The proof-of-concept is built on the Camargue, a 100,000-hectare UNESCO Biosphere Reserve in southern France. Five AI agents represent real Camargue stakeholders:
- Rice farmer
- Salt harvester
- Flamingo conservationist
- Tourism operator
- Marine biologist
Users run the simulation under four governance configurations:
| Configuration | What happens |
|---|---|
| Tragedy of the Commons | No institutional constraints. Ecosystem collapses within 12 rounds. |
| Ostrom's 8 Principles | Graduated sanctions, collective-choice arrangements, monitoring. Territory stabilizes. |
| Cybernetic | Quadratic voting and stake slashing. A futuristic governance form. |
| Camargue Real-World | Mirrors the actual PNRC governance architecture operating since 1970. |
All outcomes use the Camargue's real economics:
- Commodity production: ~€360M/yr
- Ecosystem services: ~€2.3B/yr
- 19 territorial zones from OpenStreetMap
- Per-hectare data from peer-reviewed sources
The system tracks eight governance failure modes with cascade relationships that signal when and why cooperation breaks down.
The architecture generalizes to any region with sufficient open data (OpenStreetMap coverage, published economic valuations, identifiable stakeholder groups). The Camargue is the proof-of-concept. We want to deploy the Sandbox across biosphere reserves, national parks, marine protected areas, and municipal watersheds worldwide.
The UNESCO World Network includes 748 biosphere reserves in 134 countries. Most face governance questions with no comparative tools.
- Configure — express governance values and constraints
- Delegate — assign authority to an AI agent
- Simulate — agents govern the territory autonomously
- Review — examine outcomes in local economic terms
- Adjust — refine preferences based on observed results
- React + TypeScript
- Mapbox (territorial visualization)
- OpenRouter (AI agent reasoning)
- OpenStreetMap (territorial zones)
- Supabase (state management)
Pat Rawson — Independent researcher and technologist. Co-author, Green Crypto Handbook (Taylor & Francis, 2026). Built Regen Atlas, AI Design Atlas, Windfall. Nine consulting engagements including Celo Foundation and Glow governance.
Louise Borreill — Ecological economist. Doctoral research on ecosystem service governance in Mediterranean biosphere reserves. Institutional knowledge of Camargue governance bodies and stakeholder dynamics.
Ecofrontiers SARL — French research and technology consultancy. All outputs MIT-licensed.
- Live demo: agent-governance-sandbox.vercel.app
- Original hackathon repo: github.com/papa-raw/agent-governance-sandbox
- Ecofrontiers: ecofrontiers.xyz
MIT