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Germany's BMFTR funds humanities and qualitative social-science research in which generative AI (text, image, video, audio and similar systems) is the object of study. The guideline of August 11, 2026 (Bundesanzeiger, August 25, 2026) sits within the framework programme 'Orientierung fuer eine Welt im Wandel' and aims to bring humanities and social-science insight to understanding and responsibly shaping the AI transformation.
It supports single projects, joint projects and early-career research groups (Nachwuchsgruppen). The total budget is about EUR 15 million across two rounds. Funding covers up to 100% of eligible costs, and universities receive an additional 20% project lump sum.
Single and joint projects run up to 3 years; research groups up to 4 years. Mainly quantitative designs, pure training-data collection, AI model development without a humanities question, didactic research and pure Digital Humanities method development are excluded. Stage 1 project outlines (max 12 pages, via easy-Online) are due November 30, 2026 (strict cutoff); the second round deadline is May 31, 2028.
Invited applicants then submit full proposals.
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Or search similar grants →According to the current listing, eligibility includes: Public or private universities, universities of applied sciences, non-university research institutions and other non-profit public or private institutions in Germany. Joint projects must be led by a humanities or social-science institution. Early-career group leaders need a doctorate no more than 5 years old and must not hold a professorship. Funding is for non-economic activities only. Confirm the full requirements in the official notice before applying.
The current listing shows about EUR 15 million total (approx. $17.4 million) across two rounds; non-repayable grants covering up to 100% of eligible costs plus a 20% project lump sum for universities; projects up to 3 years, early-career research groups up to 4 years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for BMFTR Guideline Generative Artificial Intelligence as a Subject of Research in the Humanities and Social Sciences (Generative KI als Untersuchungsgegenstand der Geistes- und Sozialwissenschaften) are due November 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
BMFTR Guideline Generative Artificial Intelligence as a Subject of Research in the Humanities and Social Sciences (Generative KI als Untersuchungsgegenstand der Geistes- und Sozialwissenschaften) is funded by German Federal Ministry of Research, Technology and Space (BMFTR), administered by DLR Projekttraeger. 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.
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.
STRI26 offers $13 million over five years to a single multi-university team, requires a minimum of three U.S. institutions of higher education, and gates everything behind a mandatory preliminary proposal due November 3, 2026. Here is what a one-award competition actually asks of you.
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