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The IAPS AI Policy Fellowship is a fully funded three-month program for professionals seeking to strengthen practical policy skills and contribute to impactful projects in AI governance and policy. The Summer 2026 cohort runs from June to August 2026 with options to participate in Washington DC or remotely.
The program begins with a two-week in-person residency in Washington DC followed by remote or in-person work with weekly mentorship and career development support. Fellows work full-time on independent AI policy projects covering areas such as AI regulation compute governance international AI agreements AI safety policy AI workforce impacts and responsible AI deployment.
The fellowship received 240 applications for the 2026 cohort representing a 35 percent increase over 2025. IAPS is a remote-first organization and legally supports fellows in many countries. This fellowship is distinct from the Vista Institute for AI Policy Fellowship which focuses specifically on AI law and from the Cooperative AI Foundation fellowships which focus on multi-agent cooperation problems.
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Or search similar grants →According to the current listing, eligibility includes: Professionals from diverse backgrounds and career stages worldwide. Students recent graduates and mid-career professionals are all welcome. While some location-based constraints may apply remote fellows receive structured support and funding for in-person engagement. The program values diverse perspectives and welcomes applicants from non-traditional AI policy backgrounds. Confirm the full requirements in the official notice before applying.
The current listing shows $15,000 stipend for Fellows and $22,000 stipend for Senior Fellows for a three-month fully funded program. Additional benefits include healthcare coverage professional development stipend travel funding for in-person residency and access to mentorship from leading AI policy experts. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was February 2, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
IAPS AI Policy Fellowship 2026 for AI Governance and Policy Research is funded by Institute for AI Policy and Strategy (IAPS). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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 Patrick J. McGovern Foundation Data Practice Accelerator provides grants of up to $125,000 to nonprofits with complex datasets that are ready to deepen their data practice and build toward AI readiness. This program is distinct from the foundation's larger AI Fluency and Capacity Building grants ($100K-$750K) and focuses specifically on helping organizations develop the data infrastructure, skills, and practices needed to responsibly adopt AI tools. The accelerator supports organizations across the foundation's priority areas including climate action, health equity, economic solidarity, human rights, and crisis response. Applications are accepted on a rolling basis with a current deadline of July 1, 2026. The McGovern Foundation, with $1.6+ billion in assets and $75.8 million in FY2025 charitable spend, is one of the largest private funders of AI-for-good initiatives globally.
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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