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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.
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Or search similar grants →According to the current listing, eligibility includes: Accredited U.S. institutions of higher education with demonstrated research capabilities in oceanic, atmospheric, marine, and environmental sciences. Consortia preferred. Lead institutions must demonstrate AI/ML and HPC capabilities for environmental modeling. Confirm the full requirements in the official notice before applying.
The current listing shows individual task orders and projects under the Cooperative Institute typically range from USD 250,000 to USD 5,000,000. Total program funding over the cooperative agreement period is expected to be substantial, with NOAA-OAR-CIAO-2026-32786 establishing the institute on a five-year baseline cooperative agreement. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NOAA Cooperative Institute for the Northern Gulf of America CINGA for AI Machine Learning Environmental Modeling Weather Ocean Forecasting and Hazard Prediction are due September 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NOAA Cooperative Institute for the Northern Gulf of America CINGA for AI Machine Learning Environmental Modeling Weather Ocean Forecasting and Hazard Prediction is funded by National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research. 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 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.
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.
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