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Fast Grants are lightweight, fast-turnaround gifts for researchers who want to explore an idea at the intersection of AI and health but lack the seed capital to try, and the programme is built around speed as its defining feature: roughly two weeks from deadline to decision.
Cycle 1 of 2026 closed 15 June with decisions by 1 July; Cycle 2 closes 15 December 2026 at 11:59pm PT, with decisions around 1 January 2027 and funding approximately 1 February 2027.
The foundation organises its interest around two pillars - AI-driven diagnostics and prediction, and personalised therapeutics and autonomous research - but the eligible project list is deliberately wide: training, fine-tuning or evaluating models on biomedical data; exploring or assembling datasets that could unlock new clinical or biological insight; building AI tools or agents that scale a scientist's leverage; and pilot experiments that de-risk a bigger funding ask.
That last category is the strategic one. A Fast Grant is explicitly positioned as the preliminary-data vehicle for a subsequent NIH R01 or foundation application, and proposals that name the larger grant they are de-risking read well.
The application itself is unusually short - seven bullet-pointed sections with character limits covering title, one-sentence summary, research question, methodology, team background, budget and intended outputs - so the effort-to-expected-value ratio is among the best available in biomedical AI funding.
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Or search similar grants →According to the current listing, eligibility includes: Open to researchers worldwide at eligible institutions, across career stages: early-career faculty, postdoctoral scholars, graduate students, and undergraduates with faculty sponsorship. The 25,000 dollar tier is the only one undergraduates may hold. The binding constraint is institutional rather than personal: the host organisation must be eligible to receive charitable gifts from US private foundations, meaning a US 501(c)(3) public charity, a state or federal instrumentality, or a non-US equivalent confirmed through NGOsource equivalency determination or channelled through an eligible US charity. Non-US applicants should start the equivalency check early, as it can take longer than the two-week review itself. Projects run 12 months from a single payment, and indirect costs are capped at 15 percent. Eligible work sits at the intersection of AI and health: training, fine-tuning or evaluating models on biomedical data; exploring or assembling datasets; building AI tools or agents that scale a scientist's leverage; pilot experiments that de-risk a bigger funding ask. Two cycles run per year with up to 3 million dollars deployed annually; Cycle 1 2026 closed 15 June 2026 and Cycle 2 closes 15 December 2026 at 11:59pm PT, with decisions around 1 January 2027. Confirm tier availability, institutional eligibility and the indirect cost cap with the foundation before applying. Confirm the full requirements in the official notice before applying.
The current listing shows three fixed tiers rather than a negotiated budget, which is why amount_min is 25,000 and amount_max is 100,000 US dollars. The 25,000 dollar tier funds small curiosity sprints and is the only tier undergraduates can hold; 50,000 dollars funds pilot experiments; 100,000 dollars funds more ambitious projects. Each cycle supports roughly 20 awards at 25,000, 10 at 50,000 and 5 at 100,000, so the 100,000 tier is materially more competitive than the headline acceptance picture suggests. The foundation deploys up to 3 million dollars annually across two cycles. Two structural details matter more than the headline numbers. First, awards are made as single-payment gifts rather than grants with milestone drawdown, so the money arrives whole and early. Second, indirect costs are capped at 15 percent, well below the 50-60 percent many US universities charge on federal awards, so the institution must be willing to accept the reduced rate before the application is worth preparing - this is the most common administrative blocker on Fast Grant applications. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Biswas Family Foundation Fast Grants Program for Curiosity-Driven Research at the Intersection of Artificial Intelligence and Health are due December 16, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Biswas Family Foundation Fast Grants Program for Curiosity-Driven Research at the Intersection of Artificial Intelligence and Health is funded by Biswas Family Foundation. 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.
The STEM Next AI Innovation Challenge, run by the STEM Next Opportunity Fund with the Panasonic Foundation, awards prizes of 1,000 to 5,000 US dollars to out-of-school-time programs whose high school youth teams use AI to research a local or global issue, explore ideas and strengthen a proposed solution. Ten prizes are available: two first-place awards of 5,000 dollars, three second-place awards of 3,000 dollars and five third-place awards of 1,000 dollars, paid to the program site rather than to students. Each team submits an AI Research and Development Snapshot of up to eleven slides on the provided template and a youth-created pitch video of up to five minutes; AI may assist with scripting or captions but cannot generate the whole video or a synthetic presenter. Teams must show at least one test, feedback or iteration step, though a finished prototype is not required and no prior AI or coding experience is needed. Judging is scored out of 100, weighted toward Innovation and Impact (30) and AI Collaboration and Strategy (30), with Career Connected Learning Alignment and Presentation at 20 each. Sites may enter up to five teams but can win only one prize, the adult educator who submits must complete a survey, and prize funds cannot be used for lobbying. Programs sign up to receive a toolkit, and entries close on 19 November 2026 at 11:59 p.m. Eastern.
Mozilla Foundation's Human-Scale AI call funds bespoke, fit-for-purpose AI technology designed at the scale of the problem it is meant to solve, as an alternative to resource-hungry, centralized AI. Priorities include lower resource use, privacy and decentralized power. Projects must already be deployed with their users, even if only at small scale or as an early pilot, and must have a charitable purpose. Selected projects receive $300,000 and 12 months of support starting April 2027. Strong projects may receive up to $200,000 more over two additional years, for a potential maximum of $500,000. The call is open globally, applications must be in English, and the deadline is November 20, 2026 at 11:59 p.m. PST.
Cities Deliver is a 50 million US dollar joint open call from The Rockefeller Foundation and the OpenAI Foundation, administered through RF Catalytic Capital, funding deployments of frontier artificial intelligence that measurably improve the delivery of public services in cities. Individual grants run from 500,000 to 2,000,000 US dollars over a 24-month period, with half the award disbursed upfront and the remaining half released on achievement of documented mid-term milestones, a structure that favours applicants who can specify verifiable service-delivery metrics at proposal stage. The call names four priority domains: public health, economic mobility, environmental resilience and civic engagement. Two eligibility conditions do most of the screening work and should be addressed before investing effort in an application. First, the lead applicant must be a nonprofit, which the funders define broadly to include university labs and fiscally sponsored organisations, or a public benefit corporation; ordinary for-profit companies cannot lead. Second, the proposal must carry a committed city government partner, meaning a municipal counterparty that has agreed in writing to host or adopt the work rather than merely endorse it, which makes early municipal relationship-building the critical path for most teams. Projects must also contain a meaningful frontier AI component rather than conventional analytics, and voting and election-related projects are explicitly excluded from scope. The call is global. The initial application deadline is 29 November 2026, with the window for submitting clarifying questions to the programme team closing earlier on 31 October 2026.