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Collaborations in Artificial Intelligence and Geosciences (CAIG) is sponsored by NSF. Encourages interdisciplinary research integrating AI with geosciences to address complex challenges.
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Collaborations in Artificial Intelligence and Geosciences (CAIG) | NSF - U.S. National Science Foundation Collaborations in Artificial Intelligence and Geosciences (CAIG) NSF's implementation of the revised 2 CFR NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website .
These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024.
Important information for proposers All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements.
Submitting a proposal prior to a specified deadline does not negate this requirement.
Updates to NSF Research Security Policies On July 10, 2025, NSF issued an Important Notice providing updates to the agency's research security policies, including a research security training requirement, Malign Foreign Talent Recruitment Program annual certification requirement, prohibition on Confucius institutes and an updated FFDR reporting and submission timeline.
Supports interdisciplinary projects that leverage AI to address geoscience challenges, fostering collaboration between experts to advance Earth system understanding and workforce development. Supports interdisciplinary projects that leverage AI to address geoscience challenges, fostering collaboration between experts to advance Earth system understanding and workforce development.
The Collaborations in Artificial Intelligence and Geosciences (CAIG) program seeks to advance the development and adoption of innovative artificial intelligence (AI) methods to increase scientific understanding of the Earth system.
The program supports projects that advance AI techniques and/or innovative uses of sophisticated or novel AI methods to enable significant breakthroughs in addressing geoscience research question(s) by building partnerships between experts in AI and Geosciences.
The key characteristic of a CAIG project is its potential to both answer important geoscience questions and improve AI techniques while also bringing together experts from both the AI and geoscience fields. Updates and announcements Interested in reviewing NSF proposals on artificial intelligence and geosciences? Volunteer now.
CAIG Needs Proposal Reviewers and Panelists January 27, 2025 - NSF Collaborations in Artificial Intelligence and… January 22, 2024 - Solicitation Webinar on Collaborations in Artificial… Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Geosciences (GEO) Division of Research, Innovation, Synergies and Education (GEO/RISE) Directorate for Computer and Information Science and Engineering (CISE) Division of Information and Intelligent Systems (CISE/IIS) Office of Advanced Cyberinfrastructure (CISE/OAC) Directorate for Mathematical and Physical Sciences (MPS) Division of Mathematical Sciences (MPS/DMS)
Based on current listing details, eligibility includes: Universities, research institutions, and nonprofit organizations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is February 4, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Past winners and funding trends for this program
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities. It emphasizes scientific and engineering innovations by interdisciplinary teams developing novel methods to intelligently collect, sense, connect, analyze, and interpret data from individuals, devices, and systems to enable discovery and optimize health, particularly leveraging machine learning and artificial intelligence.
Mathematical Biology Program is a grant from NSF that funds research in applied and computational mathematics with relevance to the biological and life sciences. The program supports projects across all areas of mathematical sciences that demonstrate strong integration between mathematics and biology. Successful proposals must show mathematical innovation, biological relevance and significance, and rigorous interdisciplinary methods. Projects may include development of new mathematical theories, methodologies, and computational tools aimed at advancing the life sciences. Eligible applicants are typically academic researchers and institutions. Award amounts and deadlines vary by submission cycle.
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