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Schmidt Sciences invites proposals for the 2026 Science of Trustworthy AI RFP, funding technical research that advances the science of building trustworthy AI systems.
The program addresses three interconnected research aims: understanding why frontier AI systems develop misaligned goals that fail under distribution shift or pressure (Aim 1), creating valid evaluations and interventions to control what AI systems learn (Aim 2), and developing oversight mechanisms for superhuman AI capabilities and managing multi-agent risks (Aim 3).
Beyond direct funding, awardees receive computing resources including GPUs and CPUs, software engineering support, API credits with frontier model providers, and access to a research community. The program is open globally and encourages cross-institutional and cross-geographic collaborations. Indirect costs are capped at 10% of total direct costs.
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Search similar grants →Based on current listing details, eligibility includes: Open globally to individual researchers, research teams, institutions, and multi-institution collaborations at universities, national laboratories, institutes, and non-profit research organizations. Cross-geographic and cross-institutional collaborations are encouraged. Indirect costs must not exceed 10% of total direct costs. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Two tiers: Tier 1 up to $1,000,000 (1-3 years), Tier 2 $1,000,000-$5,000,000+ (1-3 years). Additional support includes computing resources (GPUs/CPUs with data storage), software engineering support, API credits with frontier model providers, and community engagement opportunities. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 17, 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 Kavli Foundation sponsors an AI-for-Science Postdoctoral Fellowship through FutureHouse's Independent Postdoctoral Fellowship program, supporting one fellow per cohort to pursue an independent, AI-enabled research project in neuroscience. The fellowship provides a $125,000 annual stipend plus comprehensive benefits, travel allowance for conferences, dedicated software engineering support for building AI research tools, access to advanced computational resources (GPU clusters and cloud computing), and wet lab access for experimental validation. Fellows work in collaboration with an advisor or co-advisor who is a member of a Kavli Institute, pursuing bold, curiosity-driven projects in neuroscience ranging from molecular and cellular mechanisms to systems-level understanding of the brain. The fellowship begins September 2026 and runs for one year with a possible one-year extension. Research areas include AI-driven analysis of brain imaging data, machine learning for neural circuit mapping, computational neuroscience models, AI tools for analyzing large-scale neural recordings, and deep learning applied to connectomics and brain-computer interfaces.
Semi-Annual Competitive Grants is sponsored by Robert G Iii And Maude Morgan Cabell Foundation. The foundation provides grants primarily for permanent capital projects such as building acquisition, construction, renovation, and technology infrastructure. It favors focused, strategic support rather than token grants and typically awards funding on a challenge or match basis to stimulate broad community support. The application is a two-stage process beginning with a mandatory Contact Form followed by an invitation for a full application. Geographic focus: Virginia (preference for Richmond metropolitan region) Focus areas: Cultural Arts, Historic Preservation, Environment and Conservation, Community Development, Higher Education Infrastructure, Social Services, Health