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The FFAR Rapid Outcomes from Agricultural Research (ROAR) program deploys urgent funding to support research and outreach in response to emerging or unanticipated threats to the U.S. food supply or agricultural systems. The program awards one- to two-year grants of up to $250,000 to develop diagnostics, monitoring, and mitigation strategies for time-sensitive agricultural challenges.
ROAR is open year-round with rolling applications through the FFAR Grants Management System, enabling rapid response to outbreaks and emerging threats. Recent 2026 grants have supported bird flu (H5N1) research, precision AI-enabled diagnostics, and crop threat monitoring. As a private-public partnership established by the 2014 Farm Bill, FFAR requires matching funds from private sources, effectively doubling the impact of each grant.
The ROAR program complements FFAR's larger Seeding Solutions program by providing faster, more targeted funding for urgent agricultural challenges.
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Search similar grants →Based on current listing details, eligibility includes: U.S. academic institutions, nonprofits, and research organizations addressing emerging or unanticipated threats to U.S. food supply or agricultural systems. Matching funds from private sector partners required. Applications accepted through FFAR Grants Management System. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Grants of up to $250,000 for one- to two-year projects. Recent 2026 awards include $150,000 FFAR funding with $300,000 total project value through matching. 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 FFAR New Innovator in Food and Agriculture Research Award supports early-career tenure-track faculty conducting innovative research in food and agriculture, including AI, precision agriculture, and computational approaches. The award provides up to $150,000 per year for up to 3 years ($450,000 total), making it one of the most substantial early-career grants available in agricultural sciences. FFAR's research priority areas include agroecosystems, food systems, production systems, and scientific workforce development — all of which increasingly involve AI and data-driven technologies. Research must directly benefit U.S. agricultural interests. The program follows a nomination-based application process: the nomination period opened February 11, 2026, with nominations due March 18, 2026, and full applications due April 29, 2026. FFAR was established through the 2014 Farm Bill and builds public-private partnerships to match congressional funding with private sources. The foundation supports research addressing major food and agriculture challenges including precision agriculture technologies, crop monitoring systems, and data-driven farm management tools. Note: This award is contingent on funding availability as FFAR has limited programmatic funds remaining.
Sustainable Food Systems Initiative: Focus on Food is sponsored by Foundation for Food & Agriculture Research (FFAR) and Danone Institute of North America (DINA). This initiative supports community-based projects for sustainable food systems that improve human health and nutrition. Grantees will design, implement, and evaluate actionable projects over a two-year period. Five grants will go to transdisciplinary teams focused on the nutritional health of adult populations, and three new grants will focus on projects in agricultural communities.
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 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.