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The Vista Institute AI Policy Fellowship supports students and recent graduates in conducting independent research or serving as research assistants with law professors and AI policy experts. Fellows work on critical AI governance, AI law, and AI policy questions. Most fellows are selected through Vista's courses and the AI Law and Policy Workshop, though unsolicited proposals are occasionally funded.
The program provides mentored research opportunities at the intersection of AI technology and public policy, helping develop the next generation of AI governance professionals.
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Or search similar grants →According to the current listing, eligibility includes: Students and recent graduates interested in AI policy and governance research. Most fellows are selected through Vista's courses and the AI Law and Policy Workshop. Unsolicited proposals may be considered but few are funded. Contact coby@vistainstituteai.org for project proposals. Confirm the full requirements in the official notice before applying.
Vista Institute AI Policy Fellowship for AI Governance and Policy Research is funded by Vista Institute for AI Policy (fiscally sponsored by Rethink Priorities). Verify program details on the funder's official page before applying.
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The Vista Institute for AI Policy Fellowship, fiscally sponsored by Rethink Priorities, supports students and recent graduates conducting independent research at the intersection of AI policy, AI law, and AI governance. Most fellows are selected through Vista's courses and the AI Law and Policy Workshop pipeline, though unsolicited applications from candidates with strong project proposals are accepted. Fellows conduct independent research with mentor support or work as research assistants alongside law professors and AI policy experts. Research areas include AI regulation and legislation, comparative AI governance frameworks, liability for AI harms, AI safety institute design, frontier model oversight, international AI policy coordination, and the legal implications of agentic AI systems. The program offers a structured pathway for early-career researchers to develop AI policy expertise alongside experienced practitioners.
Vista Institute AI Policy Fellowship for AI Governance and Policy Research is sponsored by Vista Institute for AI Policy (fiscally sponsored by Rethink Priorities). The Vista Institute AI Policy Fellowship supports students and recent graduates in conducting independent research or serving as research assistants with law professors and AI policy experts. Fellows work on critical AI governance, AI law, and AI policy questions.
CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.
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