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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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Search similar grants →Based on current listing details, 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. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $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. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is February 2, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Pivotal Research Fellowship is a nine-week AI safety research program (June 29 to August 28, 2026) based at the London Initiative for Safe AI (LISA), with optional extensions of up to six months for strong projects. Fellows receive a GBP 6,000-8,000 stipend, GBP 2,000 housing allowance for non-London residents, London travel coverage, compute resources, and weekday meals. The program offers weekly one-on-one mentorship with established AI safety researchers, dedicated in-person workspace at LISA, research management support, workshops, and speaker sessions. The selection process involves a written application, video interview, mentor-specific work task, and personal interview. Pivotal Research reports that 70 to 90 percent of fellows who applied received extensions in recent cohorts, indicating strong support for continued research development. The fellowship accepts researchers from diverse backgrounds including ML, philosophy, policy, physics, and biology.
The North Texas Pioneer Film Grant is a grant from the Austin Film Society that funds emerging filmmakers residing in the Dallas-Fort Worth area and surrounding North Texas region. This grant supports first or second feature film projects, with particular priority given to filmmakers from backgrounds traditionally underrepresented in independent film. Awards range from $5,000 to $15,000. Applicants must be emerging filmmakers with a feature-length project (narrative or documentary) at any stage of production. The grant is part of AFS's broader mission to support Texas filmmakers, having awarded more than $3 million in grants to 570+ filmmakers since 1996.
The Water Research Foundation (WRF) RFP 5394 seeks research proposals evaluating the scalability, reproducibility, and impact of Generative AI (GenAI) and Agentic AI applications in the water and wastewater sector. The initiative aims to overcome barriers to AI adoption in utilities, establish guardrails for secure AI model development and cybersecurity integration, pilot GenAI applications with measurable insights and documented impacts, and catalogue existing Agentic AI uses while reproducing low-effort applications at other utilities to promote wider adoption. The research will establish cybersecurity and risk management frameworks for safe AI adoption in water infrastructure. Proposals are assessed based on innovation, feasibility, reproducibility, and potential sector-wide impact. This represents one of the first major funding calls specifically targeting generative and agentic AI applications in critical water infrastructure.