1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
The Accelerator Fellowship Programme is the Oxford Institute for Ethics in AI's mechanism for bringing practising professionals into an academic ethics environment for a concentrated period. Fellows spend 6 or 12 months associated with the Institute on a GBP 2,000 monthly stipend, working on projects intended to influence policy, industry or the direction of AI development rather than to produce conventional academic output alone.
For the 2026/27 round applications opened 25 May 2026 and closed 15 June 2026 at 23:59 UK time; the Institute typically runs an annual cycle, so the next call is the one to watch.
What sets this apart from most AI ethics funding is who it is aimed at: it is open to practising professionals and academics from any discipline who hold a continuing role in a university, not-for-profit research organisation or industry, or who are otherwise professionally established and actively engaged with AI's opportunities and challenges.
That means non-academics with real deployment experience compete on equal footing, which is rare. The stipend covers living costs rather than buying out a salary, and additional project funding for workshops, seminars or exhibitions can be requested case by case if it is proposed in the application - so the ask should be built into the proposal rather than raised afterwards.
Get alerted about grants like this
Get emailed when new opportunities from “University of Oxford, Institute for Ethics in AI (Faculty of Philosophy)” or related funders appear. Free, weekly, unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: The programme is open to practising professionals and academics from any discipline who hold a continuing role within a university, not-for-profit research organisation or industry, or who are otherwise professionally established and actively engaging with the opportunities and challenges of artificial intelligence. It is open internationally rather than restricted to the United Kingdom, though fellows are expected to be associated with the Institute in Oxford for the fellowship period of either 6 or 12 months. For the 2026/27 cycle, applications opened 25 May 2026 and closed 15 June 2026 at 23:59 UK time; the Institute has run this on an annual cycle. Fellows receive a monthly stipend of GBP 2,000 intended to cover accommodation, travel and food, and additional funding for project costs such as workshops, seminars and exhibitions may be available on a case-by-case basis but must be proposed within the application. Applicants should note this is a living-expenses stipend rather than a salary or research grant, so those on senior contracts will typically need institutional agreement for leave. Confirm the next cycle's opening and closing dates, stipend level, visa and residency expectations and eligibility criteria directly with the Institute for Ethics in AI before preparing an application. Confirm the full requirements in the official notice before applying.
The current listing shows fellows receive a monthly stipend of GBP 2,000 intended to cover living expenses including accommodation, travel and food, for a fellowship lasting either 6 or 12 months. That gives a total of GBP 12,000 for a six-month fellowship or GBP 24,000 for twelve months, approximately USD 15,000 to USD 30,000 at prevailing rates, which is what amount_min and amount_max record. Additional funding may be available case by case for project costs such as workshops, seminars and exhibitions if proposed in the application. This is a living-expenses stipend rather than a research grant, so it does not cover salary replacement for a senior post. Verify award ceilings, matching requirements, and allowable costs in the official notice.
University of Oxford Institute for Ethics in AI Accelerator Fellowship Programme 2026-27 is funded by University of Oxford, Institute for Ethics in AI (Faculty of Philosophy). 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.
Empire AI is New York State's answer to the compute-access problem, and this is the Cornell route into it. The consortium operates two machines: Alpha+, with 144 NVIDIA H100 GPUs, and Beta, which brings 288 B200 GPUs plus Grace CPU nodes online from December 2025. Allocations are denominated in Service Units, where one SU buys an hour of H100 time and B200 time costs two SU per hour - a pricing structure worth modelling carefully, since the newer hardware is not automatically the better value for every workload. The economics are the most consequential detail: the Cornell Provost underwrites the cost of allocations through November 2026, after which SUs carry a $0.50 charge. Applicants should therefore plan around that transition rather than assume indefinite free access. The current call covers the December 2025 to November 2026 allocation year and closes 17 September at midnight Eastern. Eligibility is narrow by design - faculty holding PI status at Cornell University, Cornell Tech or Weill Cornell Medicine - so this is not a national programme, but the same Empire AI resource is accessible through parallel calls at the other consortium institutions, and researchers at Columbia, NYU, RPI, SUNY and CUNY campuses should look for their own institution's route. The application is two-part: a Cornell-specific form plus an Empire AI-hosted form covering project details and compute requirements. Because the consortium is backed by state money and philanthropy rather than a commercial provider, there are no equity, credit-expiry or vendor-lock conditions attached.
The CU System Sprint Grant is a small, fast-turnaround internal award supporting faculty who want to develop and implement AI-driven pedagogical strategies within a single course. At up to $20,000 with an explicit allowance for one course buyout, it is designed around the real obstacle facing most faculty experimenting with generative AI in teaching - not equipment or data, but protected time. The single-course framing is a deliberate scoping decision and applicants should respect it: proposals aimed at curriculum-wide or program-level transformation are a poor fit, while a concrete plan to redesign one course around AI tools and measure the effect on student learning outcomes matches what the program is asking for. Eligibility extends to tenured and tenure-track faculty as well as full-time and instructional series faculty across all CU campuses, which is broader than many internal research awards and deliberately includes teaching-focused appointments who are often closest to the pedagogical questions at issue. This is the second of three planned cycles, so faculty who miss the October 16, 2026 deadline should expect a third round. For a grants database this entry is narrower in eligibility than a federal or foundation program - it is open only to CU faculty - but it is a useful example of the institutional micro-grant tier that has grown rapidly as universities respond to generative AI in the classroom, and comparable programs now exist at many university systems. Faculty at other institutions who find this relevant should check whether their own provost or academic affairs office runs an equivalent scheme, since these internal AI teaching grants are frequently under-advertised and undersubscribed relative to external competitions.
Faculty founders face unique SBIR hurdles around conflict of interest, IP assignment, and primary employment. Here is how to navigate the rules without derailing your startup or your tenure.
Read articleThe Humana Foundation's first 2026 slate funded 13 nonprofits and five university research teams around senior and veteran emotional health, with awards from $150,000 to $3 million concentrated in Texas, Florida, and Kentucky. A second health equity slate is planned for fall 2026. Here is what the portfolio structure reveals about how this funder decides, and how aging-services and behavioral health organizations should position.
Read articleThe Hydrocarbons and Geothermal Energy Office's University Training and Research program funds coal, oil and gas, and geothermal R&D at U.S. colleges and universities — but every proposal must include a non-academic partner and must build training modules that outlive the award. The LOI deadline is October 1, 2026, with full applications 15 days later. Here is what that compressed window means and why the workforce framing changes what a competitive proposal looks like.
Read article