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NSF 26-513, opened 4 August 2026, is a 100 million dollar cooperative-agreement programme establishing State and Regional Artificial Intelligence Infrastructure Hubs. Its purpose is to extend frontier AI compute, data and software capability to institutions and regions that do not currently have it, rather than to deepen capacity where it already exists.
NSF anticipates up to ten awards of 4 to 12 million dollars each over five years, and applies a hard geographic rule: only one award per state or multi-state region in this round.
That single constraint dominates strategy, because it converts the competition from a national field into an intra-state one - the practical first step for most applicants is to find out who else in their state is preparing a proposal and to consolidate rather than compete. Awards are cooperative agreements, not standard grants, so NSF retains substantial operational involvement in how the hub is run.
Proposals must be led by a U.S.-accredited two- or four-year institution of higher education or a U.S.-based non-profit non-academic organisation, and the consortium must include at least one institution of higher education, with private industry, philanthropy and state or local government participation expected.
Community colleges are explicitly eligible as lead institutions, which is a deliberate widening relative to most NSF AI programmes. Full proposals are due 4 November 2026, and the solicitation sets the same first-Wednesday-in-November deadline to repeat annually.
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Or search similar grants →According to the current listing, eligibility includes: Lead applicants must be U.S.-accredited two- or four-year institutions of higher education (community colleges explicitly included) or U.S.-based non-profit, non-academic organisations such as museums, observatories, independent research labs and professional societies. Each proposal must be submitted by a consortium including at least one institution of higher education, and should include private industry, philanthropy, and state or local government partners. Each organisation is limited to one proposal per deadline, and each PI or co-PI is limited to one proposal per deadline across all roles. Only one award will be made per state or multi-state region in this round, so coordinating with other institutions in your state before submitting is effectively a prerequisite. Awards are cooperative agreements of 4 to 12 million dollars over five years, up to ten awards, approximately 100 million dollars total. Critically, NSF funds coordination, technical staff, faculty training and workforce development only; consortium partners must fund acquisition of new or expanded computing, data and software infrastructure and all five years of operations and maintenance. Full proposals are due 4 November 2026, recurring annually on the first Wednesday in November. Verify all requirements against the current NSF 26-513 solicitation on nsf.gov before submitting. Confirm the full requirements in the official notice before applying.
The current listing shows awards run 4,000,000 to 12,000,000 US dollars each over a five-year period of performance, against a programme envelope of approximately 100,000,000 dollars for this first round and up to ten awards. amount_min is 4,000,000 and amount_max is 12,000,000, taken directly from the solicitation's stated per-award range. The budget structure carries an unusual and easily missed constraint: NSF funds coordination, technical staff, faculty training and workforce development, but it does not fund the acquisition of new or expanded computing, data and software infrastructure, nor ongoing operations and maintenance across the five years. Those costs must be carried by consortium partners - private industry, philanthropy, and state or local government. A proposal that budgets NSF dollars against GPU purchases or datacentre operating expense will be non-responsive. Teams should therefore treat the NSF award as the human and organisational layer and secure written partner commitments for the hardware layer before writing. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF 26-513 State and Regional Artificial Intelligence Infrastructure Hubs for Expanding Access to AI Compute, Data and Software are due November 4, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF 26-513 State and Regional Artificial Intelligence Infrastructure Hubs for Expanding Access to AI Compute, Data and Software is funded by U.S. National Science Foundation (NSF). 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 ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
PRIMED-AI is a new NIH Common Fund programme, Precision Medicine with AI: Integrating Imaging with Multimodal Data, which combines medical imaging with other health data to build AI-powered clinical decision support tools for personalised medicine. This opportunity, RFA-RM-27-014, funds the programme's Validation Center: a dedicated hub that independently evaluates and characterises the AI-enabled, image-based multimodal clinical decision support tools developed elsewhere in the consortium. The structural logic matters for applicants. NIH has separated tool-building from tool-validation and is paying separately for the second, which signals institutional recognition that self-reported performance claims from developing teams are not sufficient evidence for clinical AI. The Center's remit covers verification, validation, interoperability and uncertainty quantification, so the deliverable is a reproducible evaluation capability rather than a set of papers. It operates as a U54 cooperative agreement, meaning NIH staff are substantively involved and the Center must work in concert with the PRIMED-AI Logistics Center and the Data-to-Model and Model-to-Clinic award recipients. The RFA was released on 30 June 2026 with applications due 2 October 2026. For academic groups that have built credible AI evaluation methodology, particularly in radiology, imaging informatics or biostatistics, this is an unusually direct route to becoming the reference evaluator for a major federal AI health programme, and the position carries influence over how clinical AI performance gets measured well beyond the life of the award.
RFA-RM-27-015 funds a single Logistics Center as the coordinating hub of the NIH Common Fund's PRIMED-AI program, Precision Medicine with AI: Integrating Imaging with Multimodal Data. The award is a cooperative agreement, meaning substantial NIH scientific and programmatic involvement is built in rather than incidental, and it is administered by NIBIB on behalf of the Common Fund. The Center operates through three integrated cores: Administration, which runs the steering committees and develops consortium policies; Evaluation, which assesses progress across the funded portfolio; and Outreach, which maintains a web portal for sharing AI-based clinical decision support tools and facilitates engagement between researchers, clinicians and patient communities. The strategic point for applicants is that this is the only coordinating award in a multi-award program whose other components, the Data-to-Model Academic-Industrial Partnerships, Model-to-Clinic and Multi-use Frameworks Playbook RFAs, are separately competed and separately funded. The Logistics Center therefore does not generate its own AI models; it is scored on its capacity to run a consortium, set data and tool-sharing policy, and build infrastructure that makes other teams' clinical decision support tools discoverable and reusable. Applications are due by 5:00 PM local time of the applicant organization on the date specified for the relevant review cycle, with an earliest project start date of 2 October 2026 and a maximum project period of five years.
NSF obligated $6.4 billion across 6,218 awards in FY2026, down from $8.3 billion and 8,647. An August OMB apportionment carried $1.7 billion into FY2027, roughly $1 billion of it reserved for the White House Grand Research Challenges initiative. NIH, by contrast, spent its full $34 billion. Here is what the carryover mechanism actually means for your FY2027 proposal — and why the directorate you submit to now matters more than the score you get.
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