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The MIT Generative AI Impact Consortium (MGAIC) is a presidential initiative that funds interdisciplinary research applying generative AI to improve human work, creativity, and wellbeing. Through recurring seed grant rounds, it supports MIT faculty and research teams across four funding tiers (up to $50K, $150K, $300K, plus member company-directed projects), anticipating up to 60 funded projects per round.
Work spans foundation models, LLMs, and multimodal generative AI applications, supported by industry member companies including OpenAI, Analog Devices, Coca-Cola, InterSystems, SK Telecom, Tata, and TWG Global.
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Or search similar grants →According to the current listing, eligibility includes: MIT faculty and principal investigators, with student and postdoc engagement; interdisciplinary teams across MIT schools and departments. Confirm the full requirements in the official notice before applying.
The current listing shows seed grants across four funding tiers: up to $50,000 for individual PI projects; up to $150,000 for projects engaging students/postdocs with one or more PIs; up to $300,000 for larger multi-PI projects with multiple students/postdocs; plus member company-directed projects. The consortium anticipated funding up to 60 projects in its most recent round. Verify award ceilings, matching requirements, and allowable costs in the official notice.
MIT Generative AI Impact Consortium (MGAIC) Seed Grants for Interdisciplinary Generative AI Research is funded by MIT Generative AI Impact Consortium (founding members include OpenAI, Analog Devices, Coca-Cola, InterSystems, SK Telecom, Tata Group, and TWG Global Holdings). 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 Farm Robotics Challenge is a student competition rather than a research grant, and the distinction determines who should spend time on it: the money flows to teams of enrolled students working under a faculty or teacher advisor, not to principal investigators, and the deliverable is a working robotic system demonstrated in an agricultural setting rather than a paper. Organized by UC ANR Innovate with the NSF-USDA AI Institute for Next Generation Food Systems and backed by California's Jobs First initiative, the challenge asks teams to build autonomous systems or robotic attachments addressing real production tasks - planting, weeding, harvesting, pest management, field mapping and data collection. Total prize funding exceeds $100,000, anchored by a $50,000 Grand Prize presented by The Reservoir; in a recent cycle that grand prize was structured as a SAFE investment rather than a straight cash award, which matters because it implies an expectation that the winning team may incorporate, and teams uninterested in commercialization should confirm the current cycle's award instrument before entering. Three divisions keep the competition tractable across education levels: Division I for four-year universities with a cap of 50 percent graduate students per team, Division II for community colleges and trade schools, and Division III for middle and high school teams in grades 7 through 12. Every team requires an advisor, typically faculty, staff, a graduate student or a teacher. The cycle runs long, which is the main planning consideration - pre-registration opens August 3, 2026, project proposals are due November 13, 2026, final projects are due May 2, 2027 and awards are presented in June 2027, meaning roughly nine months of sustained student effort across two academic terms. Scale is real: a recent edition drew 96 teams from 13 countries. This is a good fit for agricultural engineering, robotics and CS programs seeking a structured capstone with industry exposure, and a poor fit for anyone looking for research funding on a normal grant timeline.
Emergent Ventures is a fellowship and grant program funded by the Mercatus Center at George Mason University, led by economist Tyler Cowen. The program provides rapid grants to entrepreneurs, researchers, and students with ambitious ideas for improving society, including AI safety, AI innovation, and technology-driven solutions. The program values speed and unconventional thinking, with decisions typically made within weeks. AI-related proposals are a major funding priority, including work on AI alignment, AI governance, AI applications for social good, and novel AI research. The program has funded hundreds of fellows across multiple countries and operates on a rolling basis with no fixed deadlines.
The MIT Generative AI Impact Consortium (MGAIC) funds seed research across MIT advancing generative AI, foundation models, and their societal implications. The consortium anticipates funding up to 60 projects across four classes: Exploratory projects up to $50,000, Innovation projects up to $150,000, Flagship projects up to $300,000, and company-directed projects sponsored by member companies. The 2026 call had a Notice of Intent deadline in March 2026 and a proposal deadline of April 6, 2026, with the program recurring in future cycles.
Impact Aid Discretionary Construction (84.041C) opened September 8 with a November 10, 2026 deadline. The absolute priority admits emergency repairs only, the $8M ceiling is unreachable for most eligible districts because of a separate $4M four-year cap, and nearly half the 100-point rubric is arithmetic drawn from your district's federal property share. Here is how the scoring actually works.
Read articleOn August 26, 2026, the NEA, NEH and IMLS jointly rescinded the disparate-impact provisions of 45 CFR Part 1110. No comment period, no delayed effective date, and an admission buried in the preamble: across FY2020 through FY2024 the agencies ran zero disparate-impact-only investigations. Here is what actually changes for grantees — and what does not.
Read articleROSES-2025 has been amended 69 times and now runs to December 31, 2026 — but the 'no due date' and flexible program elements that carried the community through the gap close August 31. Two rules changed mid-cycle that most proposers have not read: a generative-AI citation requirement and a $0.09-per-SBU charge for NASA high-end computing that must appear in your Earth Science budget.
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