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Foresight's AI for Science and Safety Nodes RFP is a small-cheque, high-variance programme aimed at work that conventional funders will not touch, and it is one of the few AI safety calls verifiably open with a future deadline of 31 October 2026. The framing joins two problems: ensuring a safe transition to highly capable AI, and using AI to unlock scientific breakthroughs. Proposals sit in one of three layers.
Local compute covers community-owned and controlled computational infrastructure - an explicitly decentralist counterweight to frontier-lab concentration. Coordination and accountability covers human-AI interaction, supercollaboration and AI risk assessment mechanisms. AI-first science covers automated nanotechnology, whole-brain emulation and frontier biotechnology.
The single most important screening criterion is stated plainly: Foresight wants projects where AI is the primary engine of progress, not projects where AI is, in its words, tapped onto an existing research program - so an established lab adding a machine learning component to ongoing work is the archetype of what gets rejected.
Evaluation weights alignment with a focus area, impact on AI existential risk reduction, feasibility within short AGI timelines, execution capability, and high-risk high-reward potential. Two conditions are non-negotiable: all outputs must be open-sourced, and applicants must commit to active participation at Foresight's San Francisco or Berlin nodes, which makes this poorly suited to a purely remote team.
Application is a single Airtable form with a roughly three-month review.
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Or search similar grants →According to the current listing, eligibility includes: Open to individuals, teams, and both nonprofit and for-profit organisations. Applicants must demonstrate a commitment to active participation at Foresight's San Francisco or Berlin nodes. Proposals must fall within one of three layers: local compute (community-owned and controlled computational infrastructure); coordination and accountability (human-AI interaction, supercollaboration, AI risk assessment mechanisms); or AI-first science (automated nanotechnology, whole-brain emulation, frontier biotechnology). Foresight emphasises that AI must be the primary engine of progress rather than appended to an existing research programme. Typical awards are USD 30,000 to 100,000, with larger amounts possible for suitable projects and smaller awards in the Human Empowerment and AI Insurance and Open Governance focus areas. All project outputs must be open-sourced. Evaluation criteria are alignment with the chosen focus area, impact on reducing AI existential risk, feasibility within short AGI timelines, capability to execute, and high-risk high-reward potential. Applications are submitted through an online Airtable form, with an expected three-month review timeline that may include follow-up questions or calls. The stated deadline is 31 October 2026 at 23:59 PDT. Applicants must confirm the current deadline, focus areas, award levels and node-participation requirement directly with Foresight Institute before preparing a submission. Confirm the full requirements in the official notice before applying.
The current listing shows typical awards range from USD 30,000 to USD 100,000, with larger amounts possible for suitable projects and smaller awards in the Human Empowerment and AI Insurance and Open Governance focus areas. amount_min of 30,000 and amount_max of 100,000 are the stated typical range; Foresight explicitly notes it will consider larger grants for the right project, so the maximum is soft rather than fixed. 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 Local Compute, Coordination and Accountability, and AI-First Science are due October 31, 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 Local Compute, Coordination and Accountability, and AI-First Science 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.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.
The Climate Change AI Innovation Grants program supports catalytic projects using AI and machine learning for climate action, funding research and deployment challenges in climate change mitigation, adaptation, and climate science. Projects must create publicly available datasets and tools as digital public goods, and release open-source code. The program builds partnerships between academic researchers, non-profits, startups, companies, and governmental organizations to accelerate the research-to-deployment cycle. Past funded projects span climate modeling, emissions monitoring, renewable energy optimization, and disaster prediction across all continents.