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Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) is sponsored by National Science Foundation, Directorate for Computer and Information Science and Engineering (NSF CISE). This program supports research that advances fundamental computer science, information science, and computer engineering, including artificial intelligence, cybersecurity, quantum information science, robotics, and advanced communications.
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Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) | NSF - U.S. National Science Foundation Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports unlocking the value of existing scientific datasets by making them more accessible, easier to integrate and ready for automated AI-driven analysis.
Supports unlocking the value of existing scientific datasets by making them more accessible, easier to integrate and ready for automated AI-driven analysis. This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods.
Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI). This will unlock new AI-driven insights. It can enable interdisciplinary research.
It also enables investigations outside of the original motivation for data collection and analysis. The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets. 2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems.
3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. Proposals should address dataset security and integrity. Governance and the process for scientific communities to contribute to the datasets should also be addressed.
Proposals are encouraged to leverage existing resources. These may include NSF data platforms , the NSF Integrated Data Systems and Services program , the NSF-led National AI Research Resource , the Genesis Mission platform , or other national infrastructure.
NSF is open to exploring partnerships with philanthropy, private industry, or the non-profit sector to support additional proposals or collaborative opportunities that will advance AI-driven scientific discovery through unlocking the value of high-impact scientific datasets.
Expanding Participation in STEM, NSF Priorities, and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission .
Proposers should review the list of NSF priorities and are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality.
AI Datasets Program Officers Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Computer and Information Science and Engineering (CISE) Office of Advanced Cyberinfrastructure (CISE/OAC) Division of Computer and Network Systems (CISE/CNS) Directorate for Biological Sciences (BIO) Directorate for Engineering (ENG) Directorate for Geosciences (GEO) Directorate for Mathematical and Physical Sciences (MPS) Directorate for Technology, Innovation and Partnerships (TIP)
According to the current listing, eligibility includes: Universities, research centers, community-based organizations, industry partnerships, and national-scale infrastructure. Confirm the full requirements in the official notice before applying.
Applications for Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) are due November 4, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) is funded by National Science Foundation, Directorate for Computer and Information Science and Engineering (NSF CISE). 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.
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