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NSF FINDERS FOUNDRY (NSF 26-507) seeks proposals that advance K-12 education through innovative, technology-driven solutions, with a strong emphasis on early artificial intelligence exposure for K-12 learners. It supports creating and scaling evidence-based practices, tools and technologies for learning and workforce development, and encourages cross-sector partnerships among schools, universities, industry, government and nonprofits.
The program has two phases: Planning grants, after which only Planning awardees may submit Development proposals. Total estimated funding is $8. 5 million and responses are due November 18, 2026.
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Or search similar grants →According to the current listing, eligibility includes: Institutions of higher education, non-profit non-academic organizations, state and local governments, and tribal nations. Teams must include at least one K-12 educator, one technologist and one researcher. Confirm the full requirements in the official notice before applying.
The current listing shows total estimated funding $8,500,000; two-phase structure (Planning then Development) — per-award sizes set in the solicitation. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF FINDERS FOUNDRY (NSF 26-507) for Technology-Driven K-12 Education Solutions with Early AI Exposure are due November 19, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF FINDERS FOUNDRY (NSF 26-507) for Technology-Driven K-12 Education Solutions with Early AI Exposure 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 DARPA Surgical Competition (DSC) is a $3.5 million prize challenge run by DARPA's Biological Technologies Office under 10 U.S.C. 4025. Its goal is to advance robotic and AI-enabled surgical systems that can deliver trauma care closer to the point of injury with fewer specialists available. There are two lanes. Lane 1, surgical collaboration, covers robots that assist a surgeon. Lane 2, surgical independence, covers robots performing surgical tasks with increasing autonomy. In each lane, first place wins $1 million, second $400,000, and third $100,000. Component gate prizes are $235,000 for the top Physical Capability Gate performer, $100,000 for the Rapid Learning Gate, and $75,000 for the Medical Knowledge Gate, and teams meeting each gate's minimums receive $3,000 per gate. Up to 10 teams will qualify. The qualification window runs from 11 September 2026 and closes on 13 November 2026 at 4 PM ET, with rolling review. The schedule also includes a virtual second industry day on 4 November 2026, an in-person workshop on 15-24 January 2027, and the scored competition on 20-26 March 2027. Teams are self-funded, and there is no full proposal and no cost share.
NSF's Dear Colleague Letter NSF 26-017 (published March 24, 2026, updated October 27, 2026) invites proposals that use AI and other emerging technologies to strengthen children's online safety and privacy, expand educational opportunities, support well-being, and help educators and parents, including through AI literacy and digital literacy. The DCL has no dedicated budget. Proposals are submitted through participating programs such as NSF FINDERS Foundry (NSF 26-507), which expects about 50 Planning awards of up to $50,000 and about 20 Development awards of up to $300,000 for one year, and TechAccess: AI-Ready America (NSF 26-508). Proposal titles must begin 'Empowering Children to Thrive DCL:'. The next FINDERS Foundry Development proposal deadline is November 18, 2026 at 5 p.m. submitter local time; other deadlines follow the participating solicitations.
The National Geospatial-Intelligence Agency (NGA) Rapid Capabilities Office, working with the Office of Naval Intelligence and Army Contracting Command-Rock Island, is running a One Nation Innovation challenge on the GoColosseum marketplace. The challenge is Tactical ISR Processing, Exploitation and Dissemination (PED): Adaptive AI and Autonomy at the Tactical Edge. It seeks AI and computer vision that detect, track, and re-identify objects in imagery from small unclassified unmanned aerial systems. Systems must keep custody across multiple simultaneous detections and re-identify targets after custody is lost. They must also use low-shot learning that needs minimal labelled data, run at the edge on size-, weight- and power-constrained hardware without the cloud, and integrate with GEOINT formats and the Tactical Assault Kit (TAK). Winning solutions may receive prototype awards under Other Transaction Authority, and the amount and number of awards are not published. The submission window opened on 22 October 2026 and closes on 19 November 2026 at 3:00 PM CST. Applicants must join GoColosseum to apply.
NSF 27-500 replaces the MRI solicitation: no per-institution limit, no tracks, $50 million for about 60 awards, and a January 4–29, 2027 window. What changes for research offices.
Read articleOn October 28, 2026, NSF sent its revised Guidance on Financial Assistance to OMB after 3,277 public responses. The revision drops four provisions borrowed from OMB's unfinished 2 CFR 200 rewrite: no fixed-price awards, no publication costs, termination for convenience, and indirect costs subject to available funds. The final 30-day comment period runs through about November 27. Here is what changed, what didn't, and what research offices should do before the December 11 funding cliff.
Read articleNSF 26-022, the July 8, 2026 Dear Colleague Letter last updated October 27, says NSF will prohibit its funds from supporting research collaborations with entities on U.S. restricted-party lists in FY2027, on the same timeline as the Guidance on Financial Assistance. Authorized organizational representatives and senior/key personnel will certify compliance at proposal submission. Here is what is covered, what is still undefined, and a 60-day plan for research offices and PIs.
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