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NSF NRT Advancing Ethical AI Through Convergent Research supports interdisciplinary graduate training programs that prepare PhD and master's students to research and develop ethical, trustworthy AI systems. Funded programs span fairness, privacy, safety, inclusivity, AI auditing, AI policy, sociotechnical AI research, and human-centered AI.
Each training program engages multiple departments (computer science, engineering, social sciences, humanities, law, public policy) and produces a new generation of AI researchers prepared to address equity and well-being. Funded sites have included UT Austin's NRT-AI and Stony Brook's Bias-NRT.
Awards provide approximately $3M over 5 years to support graduate trainees, curriculum development, professional development, and convergent research projects. Strong fit for university consortia building interdisciplinary AI ethics graduate programs.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education with graduate degree programs. Multi-departmental teams required. Demonstrated commitment to graduate education diversity, equity, and inclusion encouraged. Co-PIs from at least three distinct disciplines required. Confirm the full requirements in the official notice before applying.
The current listing shows up to USD 3,000,000 per award over 5 years (approximately USD 600,000 per year). Multiple awards per cycle. NSF NRT base awards generally USD 2,500,000 to USD 3,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF Research Traineeship NRT Advancing Ethical Artificial Intelligence Through Convergent Research for Interdisciplinary AI Ethics Graduate Training are due September 8, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF Research Traineeship NRT Advancing Ethical Artificial Intelligence Through Convergent Research for Interdisciplinary AI Ethics Graduate Training is funded by U.S. National Science Foundation (NSF) Directorate for STEM Education. 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.
NSF's Expanding K-12 Resources for AI Education Dear Colleague Letter invites current NSF awardees to request supplemental funding up to $300,000 (or 20% of their original budget) to scale and expand established AI education activities into new K-12 settings. Eligible work includes producing open-access AI curricula, teacher professional development, AI literacy modules, student-facing AI tools, evaluation studies of AI education programs, and partnerships with school districts. The DCL aligns with the Presidential AI Challenge and broader federal priorities to accelerate AI literacy in U.S. schools. Awards are issued as supplements to existing grants administered by the Directorate for STEM Education and adjacent NSF directorates.
EDU Core Research (ECR: Core) is sponsored by U.S. National Science Foundation (NSF) Directorate for STEM Education (EDU). The EDU Core Research (ECR: Core) program supports fundamental research contributing to the general, explanatory knowledge underlying STEM education in areas such as STEM Learning and Learning Environments, Broadening Participation in STEM fields, and STEM Workforce Development.
NOAA-OAR-CIAO-2026-32786 establishes a new Cooperative Institute for the Northern Gulf of America (CINGA) advancing NOAA mission research with explicit focus on AI/ML for environmental modeling, weather and ocean forecasting, and hazard prediction. Priority research themes include improving forecasting capabilities for weather, ocean, and hazards using AI-enhanced numerical and foundation models, AI-ready data infrastructure and data stewardship, and AI/ML applications for climate-driven environmental change in the Gulf of America region. Individual task orders typically range $250K to $5M across 5+ year cooperative agreement. Strong fit for university consortia with marine and atmospheric science programs and applied AI/ML capabilities.
NSF's Expanding K-12 Resources for AI Education Dear Colleague Letter invites current NSF awardees to request supplemental funding up to $300,000 (or 20% of their original budget) to scale and expand established AI education activities into new K-12 settings. Eligible work includes producing open-access AI curricula, teacher professional development, AI literacy modules, student-facing AI tools, evaluation studies of AI education programs, and partnerships with school districts. The DCL aligns with the Presidential AI Challenge and broader federal priorities to accelerate AI literacy in U.S. schools. Awards are issued as supplements to existing grants administered by the Directorate for STEM Education and adjacent NSF directorates.
AI-ENGAGE launched by NSF in early 2026 as a Quad-nation collaboration with Australia, India, and Japan supporting multinational research teams developing AI tools for agriculture, engineering, scientific discovery, and societal benefit. The inaugural cohort of six awards totaled $6M+ across the four partner countries. Funded research includes precision agriculture AI, AI for crop disease detection in tropical climates, multinational AI safety benchmarks, and AI for scientific discovery. Strong fit for U.S. universities with established collaborations in Quad partner countries. The program expects continued cycles in 2026-2027 with growing scope. Strong fit for AI faculty working in food systems AI, climate-resilient crop AI, AI for scientific discovery, and engineering AI with international research partners.
The National Science Foundation is running two funding realities at once: a Congressional budget that rejected historic cuts and a DOGE campaign that gutted STEM education and social science research.
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