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The Omidyar Network Tech Journalism Fund provides project-based grants of $5,000 to $25,000 to U.S.-based journalists pursuing in-depth stories that illuminate the social, economic, and political impacts of emerging technologies, particularly artificial intelligence.
The fund supports investigative and explanatory journalism that examines AI governance, algorithmic accountability, corporate AI practices, AI's impact on labor markets, data privacy, and the societal implications of generative AI deployment.
As part of Omidyar Network's broader Responsible Technology portfolio — which has contributed over $200 million toward public interest AI efforts — the Tech Journalism Fund fills a critical gap in public understanding of how AI systems affect communities and democratic institutions.
Grants are awarded on a rolling basis to journalists who demonstrate strong reporting track records and compelling story proposals that hold technology companies and policymakers accountable.
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Search similar grants →Based on current listing details, eligibility includes: U.S.-based journalists pursuing in-depth stories about the social, economic, and political impacts of emerging technologies, especially AI. Must demonstrate strong reporting track record and compelling story proposals. Freelance and staff journalists eligible. Rolling application process. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Project-based grants ranging from $5,000 to $25,000 per journalist or reporting project. Omidyar Network's broader Responsible Technology portfolio contributes over $200 million across initiatives addressing AI harms and promoting responsible innovation. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. 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 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.
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.