Network Goods Institute

New paradigms for coordination.

We design economic, epistemic, and computational mechanisms for groups to reason and decide together at scale.

Scroll
Approach

Three coordination failures shape the world we’re stuck in.

The world coordinates through payment rails that don’t price externalities, discourse platforms that reward heat over light, and civic systems with no memory. The mechanisms were built for a smaller, slower world. The problems they leave behind are real and human-scale; so are the returns for solving them.

Externality pricing

Markets don’t price what they don’t see. Public goods stay underfunded; harms stay externalized. The opportunity is to make funding them profitable.

Our approachIndex Wallets ↓
Comparable marketGlobal payments industry revenue ~$2.4T/yr; Visa + Mastercard combined market cap ~$1.1T.
  • Climate damage. The IPCC’s social cost of carbon sits above $185/ton; the global average carbon price is under $5. The gap implies tens of trillions in unpriced future damage.
  • Open-source infrastructure. Log4j and the XZ Utils backdoor exposed how much critical software is maintained by a handful of unpaid volunteers. Value flows to the firms using it; risk pools at the maintainers.
  • Pandemic preparedness. Antibiotic R&D collapsed because new antibiotics weren’t profitable; COVID-19 found preparedness systematically underfunded despite decades of warnings.
Epistemic incentives

Public reasoning rewards conviction over calibration and narrative dominance over accuracy. Better incentives — for being right, and for changing your mind — would reshape how decisions get made.

Comparable marketPrediction-market platforms ~$3B combined valuation (Polymarket, Kalshi); expert networks $1.5B+ revenue; financial data terminals $30B+ revenue; US municipal IT spend $50B+/yr.
  • The replication crisis. Half of published psychology and a third of biomedical findings fail to replicate. Career incentives reward novel positive results, not calibrated uncertainty.
  • SVB and the 2023 banking run. Risk-management consensus was wrong about interest-rate exposure. Few who flagged it ahead of time were rewarded; few who missed it were penalized.
  • AI risk. Frontier labs publicly acknowledge significant existential risk while racing to deploy. No mechanism aligns career success with calibrated public communication.
Power regulation

Coordination systems concentrate power as easily as they distribute it. Designing against capture is part of the work, not an afterthought.

Our approachNo dedicated project here yet — designing against capture is built into the work below.
Comparable marketHard to size cleanly: the firms targeted by antitrust and platform-governance fights have $10T+ in combined market cap; AI compute and capability concentration is the next front.
  • Tech antitrust. The FTC and EU have spent a decade unwinding concentration in attention, search, and app distribution — slow, costly, after the fact.
  • AI compute concentration. Frontier model training has consolidated to four labs and three cloud providers. Governance proposals lag the consolidation.
  • Revolving-door regulation. Treasury and Fed officials moving to Wall Street, FAA personnel to Boeing, FTC to big tech: industries write the rules they operate under, then hire the people who wrote them. Power buys money buys power.

We’re building foundational assets — values-embedded vector money, collective-intelligence platforms, deliberative memory — for problems facing humanity at scale. The stakes are real. So are the returns for solving them.

We draw on mechanisms such as quadratic funding and connection-oriented cluster matching, and we publish the formal models behind our work alongside the code.

Projects

What we’re building.

Externality pricing
Index Wallets
Comparable marketGlobal payments industry revenue ~$2.4T/yr; Visa + Mastercard combined market cap ~$1.1T.

Index Wallets

Voluntary taxation, wealth equalization, funding for public goods.

A programmable wallet that accepts payment in values-embedded vector currencies. The result is a market mechanism for funding public goods — one in which paying voluntary taxes is in the payer's own interest. We've published a preprint setting out the formal model, and a working demo.

Epistemic incentives
Negation Game
Comparable marketPrediction-market platforms ~$3B combined valuation (Polymarket, Kalshi); broader online-discourse market is hundreds of billions annually.

The Negation Game

A protocol layer for reasoned disagreement.

A discussion platform that pairs economic incentives with epistemic values. Participants stake credibility on claims; the system rewards those willing to update in light of stronger arguments. It is designed for groups that need to reason together honestly — and for minds willing to change.

Epistemic incentives
Comparable marketExpert networks $1.5B+ annual revenue; financial data terminals (Bloomberg ~$13B/yr) sit in the $30B+ category.

Litmus

AI-powered prediction for FDA drug approvals.

Litmus combines AI research tools, a curated expert network, and a structured forecast elicitation workflow to produce calibrated predictions on biotech outcomes. It is built around a core question in collective-intelligence research: how do you systematically extract what humans know that AI doesn't, through a process that is rigorous, reproducible, and fully transparent? Developed in collaboration with Elanor Davies, with support from NGI.

Epistemic incentives
Comparable marketUS municipal IT spend ~$50B/yr; Tyler Technologies (incumbent) ~$25B market cap.

Louie

Civic deliberative memory.

Louie turns the public record of municipal government into something residents and officials can actually use. It ingests transcripts, agendas, and minutes, and makes them searchable in plain language — every answer linked back to the exact moment in the original meeting. Underneath sits a structured argument map: who said what, what was debated, what was decided, and what was left open. A demo of the first deployment is live with transcripts from the City of Mississauga in Ontario, with active outreach to other municipalities ahead of the October 2026 elections.

Our Collaborators

People and organizations we work with.

Questions

Frequently asked

NGI is a research organization building coordination mechanisms — protocols, incentives, and governance systems that help groups reason and decide together. We work at the intersection of mechanism design, collective intelligence, and economic infrastructure.

Systems that help groups make better decisions collectively. Markets are coordination mechanisms; so are courts, peer review, and elections. We design new ones for problems the existing ones don't solve well.

Public reasoning today rewards conviction over calibration and narrative dominance over accuracy. Our work — the Negation Game, Litmus, Louie — builds infrastructure where being right and being willing to change your mind both pay off, and where the reasoning behind a decision can be surfaced, contested, and recorded.

A protocol for reasoned disagreement. Participants stake credibility on claims, and the system rewards those willing to update in light of stronger arguments. It's designed to make intellectual honesty economically rational.

Index Wallets are programmable wallets that let people and institutions accept payment in values-embedded vector currencies. The result is a market mechanism for funding public goods — voluntary taxation that benefits the payer.

Researchers, civic institutions, funders, protocol teams, and communities trying to coordinate at scale. If you're working on a problem where collective reasoning or public-goods funding is the bottleneck, we'd like to hear from you.

Stay in touch

Monthly briefing

A short letter each month on what we're building, what we're reading, and where we'd welcome help. Sent to investors, collaborators, and friends.

Or reach out directly
connor@networkgoods.institute