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Foresight Institute's AI for Science and Safety Nodes programme funds small projects at the intersection of AI safety and AI-accelerated science, and it is structured around physical hubs in San Francisco and Berlin that opened 1 April 2026 rather than around distributed remote work.
That is the single most important thing to understand before applying: Foresight states a strong preference for applicants committed to active, in-person participation at one of the two hubs, and the non-cash benefits - office workspace, a private compute cluster, travel-paid field-building events, access to advisors - are only realisable on site.
A remote applicant is competing for a 30,000 to 100,000 dollar grant while forgoing most of what the programme offers. Three focus areas are named: local compute infrastructure; coordination and accountability systems; and AI-first science in biology, neurotechnology and nanotechnology.
Funding is not distributed evenly across them, with smaller grants going to Human Empowerment and to AI Insurance and Open Governance, and larger grants to the rest. Eligibility is unusually broad for AI safety funding - individuals, teams and organizations may apply, nonprofit or for-profit, with no stated geographic restriction, though for-profit applicants must justify their need for grant rather than investment funding.
There is no institutional affiliation requirement, which makes this one of the few routes available to independent researchers working on AI safety. Applications go through an Airtable form and are reviewed monthly, with deadlines on the last day of every month running to a final documented deadline of 31 October 2026 at 23:59 PDT. Review takes roughly three months after the deadline.
Because Foresight reviews monthly until the nodes reach capacity, applying early rather than at the final deadline is a real advantage.
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Or search similar grants →According to the current listing, eligibility includes: Open to individuals, teams and organizations worldwide, both nonprofit and for-profit; for-profit applicants must justify why grant funding rather than investment is appropriate. No institutional affiliation is required, so independent researchers are eligible. Foresight states a strong preference for applicants who commit to active, in-person participation at the San Francisco or Berlin hubs, which opened 1 April 2026. Three focus areas are in scope: local compute infrastructure; coordination and accountability systems; and AI-first science in biology, neurotechnology and nanotechnology. Project funding is 30,000 to 100,000 US dollars in the typical range, with smaller amounts allocated to the Human Empowerment and AI Insurance and Open Governance focus areas and higher amounts to the others; larger awards are possible for suitable projects. Awards include non-cash benefits: office and community space at the hubs, private compute cluster access, travel-paid field-building events, access to Foresight advisors and the scientific network, and peer collaboration. Applications are submitted through an Airtable form linked from the RFP page. Deadlines fall on the last day of every month and applications are reviewed monthly until the nodes reach capacity, so Foresight recommends applying as soon as ready; the final documented deadline is 31 October 2026 at 23:59 PDT. Review takes approximately three months after the deadline, with strong submissions advancing to technical advisors and some receiving follow-up questions or calls. Confirm current deadlines, funding bands and focus areas on the Foresight RFP page before applying. Confirm the full requirements in the official notice before applying.
The current listing shows project funding is stated as 30,000 to 100,000 US dollars in the typical range, with Foresight noting that larger amounts are possible for suitable projects and that some sources describe a wider 10,000 to 100,000 dollar band. amount_min is set to 30,000 and amount_max to 100,000 to match the typical range Foresight publishes. Within that range the allocation is not uniform: smaller amounts go to the Human Empowerment and AI Insurance and Open Governance focus areas, and higher amounts to the remaining areas. The cash grant is only part of the package and arguably not the largest part of its value - awards also carry office and community space at the San Francisco and Berlin hubs, access to a private compute cluster, travel-paid field-building events, and access to Foresight's advisors and scientific network. Applicants who cannot participate in person will capture materially less than the headline figure suggests. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Foresight Institute AI for Science and Safety Nodes Request for Proposals for Compute, Coordination and AI-First Science Projects are due November 1, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Foresight Institute AI for Science and Safety Nodes Request for Proposals for Compute, Coordination and AI-First Science Projects is funded by Foresight Institute. 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 AI Safety Policy Entrepreneurship Fellowship is FAS's route for turning technical and domain expertise into frontier AI safety policy that actually moves. It is a part-time hybrid programme running 30 September 2026 to 28 February 2027, with applications due 7 September 2026, and it pays a USD 5,000 stipend plus up to USD 1,000 as a merit award. Fellows commit roughly five hours a week to developing a policy memo on a specific AI safety challenge, attend training sessions, join an in-person retreat in California from 4 to 7 November 2026, and present at a capstone event in Washington DC during the week of 22 February 2027. The design target is explicit and unusual: it recruits early- to mid-career professionals who have limited direct public policy experience but deep expertise elsewhere - technical AI research, academia, think tanks, civil society, industry, law, cybersecurity and national security - and teaches them the mechanics of getting an idea adopted. Selection weighs clear understanding of AI governance challenges, concrete implementation-oriented solutions rather than broad principles, awareness of which stakeholders must be moved, and a credible commitment to translating expertise into policy outcomes. Because the stipend is modest and the time commitment part-time, this is designed to sit alongside an existing job rather than replace one.
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