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The NSF Responsible Design, Development, and Deployment of Technologies (ReDDDoT) program is a groundbreaking public-private partnership that funds teams addressing the societal implications of emerging technologies including artificial intelligence, biotechnology, natural hazards prediction, and climate change mitigation.
The program uniquely combines federal funding from NSF with philanthropic co-investment from the Ford Foundation, Patrick J. McGovern Foundation, Pivotal Ventures, Schmidt Fund for Strategic Innovation, and Siegel Family Endowment. Phase 1 provides planning grants (~$300,000) for community engagement and research design, while Phase 2 offers up to $1.
5 million over 3 years for implementation. The inaugural 2025 cohort awarded $18 million to 44 teams. ReDDDoT emphasizes participatory design, requiring meaningful engagement with communities affected by technologies.
This is the first NSF program to explicitly integrate responsible innovation principles across the full technology lifecycle from design through deployment, making it a landmark initiative for responsible AI research. Future solicitation cycles expected under NSF 24-524.
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Or search similar grants →According to the current listing, eligibility includes: U.S. academic institutions, nonprofit organizations, and research institutions eligible for NSF funding. Teams must include community partners and stakeholders affected by the technologies being studied. Interdisciplinary teams strongly encouraged spanning technical, social science, humanities, and community expertise. Projects must demonstrate meaningful community engagement and participatory design processes. Confirm the full requirements in the official notice before applying.
The current listing shows phase 1: planning grants of approximately $300,000. Phase 2: implementation grants of up to $1,500,000 over 3 years. Total first cohort: $18 million awarded to 44 teams. Federal and private co-funding from Ford Foundation, McGovern Foundation, Pivotal Ventures, Schmidt Fund, and Siegel Family Endowment. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF ReDDDoT Responsible Design Development and Deployment of Technologies for AI and Emerging Tech is funded by National Science Foundation with Ford Foundation, Patrick J. McGovern Foundation, Pivotal Ventures, Schmidt Fund for Strategic Innovation, and Siegel Family Endowment. 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
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.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
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