$10,000 grants for research on public-goods funding.

Motivation

Allocating public goods funding well is hard and getting harder. More proposals arrive than can be read carefully; more projects need evaluation than there are qualified evaluators; the marginal cost of producing plausible proposals keeps falling while the cost of distinguishing real ones does not. AI4PG funds research on mechanisms, tools, and infrastructure that make public-goods funding decisions more effective, transparent, and equitable.

Program

Research areas

• Grant allocation and matching algorithms
• Impact prediction and evaluation
• Proposal assessment with language models
• Fraud detection in funding mechanisms
• Community preference aggregation
• Human–AI collaboration in allocation
• Governance and decision-support systems
• Multi-agent coordination of public goods
• Transparent funding with onchain rails
• Ecosystem health measurement
• Verification of funded outcomes
• Ethical frameworks for funded AI

Timeline

• OCT 14, 2025Reviewer call opened
• NOV 14, 2025Reviewer applications closed
• NOV 17, 2025Proposal call opened
• FEB 27, 2026Submissions closed
• MAR 1, 2026Review phase began
• APR 17, 2026Rebuttal phase began (current)
• LATE APR 2026Winners announced

Organizers

• Dr. David Dao·gainforest.earth · PL R&D
• Sejal Rekhan·PROTOCOL LABS
• Sarah Tariq·University of Zurich
• Dr. Livia Kalossaka·HEC Paris · CDL
• Dr. Maria João Sousa·Cornell Tech · CCAI
• Prof. Lily Xu·IEOR, Columbia · Co-director, EAAMO
• Prof. Millie Chapman·ETH Zurich

Support

Supported by GainForest, Octant, Ethereum Foundation, Gitcoin, Funding the Commons, Hypercerts, Protocol Labs, and PL Research.