AI for Public Goods
Up to $10,000 per proposal
Call for proposals opening soon
Supporting AI research that advances public goods funding through improved decision-making, transparent allocation, and impact assessment.
Artificial Intelligence offers significant potential to enhance decision-making processes in public goods funding. From optimizing grant allocation to predicting project impact, AI methodologies can contribute to more effective, transparent, and equitable funding systems. However, developing and deploying AI solutions for public goods presents unique challenges that require interdisciplinary collaboration.
This fast grants program offers up to $10,000 USD for each accepted proposal to support AI research and development in public goods decision making. Our call for proposals will be opening soon. We're particularly interested in projects that address real-world challenges in funding allocation, impact assessment, governance, and community coordination.
The program is hosted by the Recerts Journal and supported by leading organizations in the public goods funding space. By providing this funding opportunity, we aim to accelerate the development of AI-powered tools that can make public goods funding more effective and accessible, while encouraging rigorous documentation and peer review through journal publication.
Program Details
Funding
Up to $10,000 per proposal
Duration
3-6 months
Application
Opening soon
Review
3-4 weeks after submission (rolling basis)
Timeline
Call for Reviewers Opens
Oct 14, 2025
Reviewer Application Deadline
Oct 31, 2025
Call for Proposals Opens
Nov 1, 2025 (rolling basis)
Proposal Submission Deadline
Jan 11, 2026
Call for Reviewers - Now Open
Seeking academic and scientific reviewers with expertise in AI, machine learning, or public goods funding.
$800 compensation per reviewer
Apply as ReviewerResearch Areas
We invite proposals for AI applications that improve public goods funding decision making.
- AI-powered grant allocation and matching algorithms
- Machine learning for impact prediction and evaluation
- Natural language processing for proposal assessment
- Computer vision for verifying project outcomes
- Reinforcement learning for optimal funding strategies
- Predictive analytics for public goods demand forecasting
- AI-driven governance and decision support systems
- Automated fraud detection in funding mechanisms
- Personalized recommendation systems for grant opportunities
- Multi-agent systems for coordinating public goods provision
- AI for measuring and optimizing ecosystem health
- Blockchain and AI integration for transparent funding
- Ethical AI frameworks for public goods decision making
- Human-AI collaboration in funding allocation
- AI tools for community preference aggregation
Supported by
