Opportunity Details

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Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)

U.S. National Science Foundation·Foundation

This NSF grant program funds work to unlock the value of existing scientific datasets for AI-enabled scientific discovery. It supports activities such as AI-based feature extraction, metadata generation, integration and harmonization of datasets, and development of robust data pipelines, with attention to dataset security, integrity, and governance. The opportunity is aimed at scientific communities and research partners that can advance interdisciplinary research and automated analysis using AI and related methods.

Go / No-Go Memo

This opportunity looks relevant, but the strongest path is likely through a partner or consortium.

Partner

This is primarily a U.S. NSF research grant for scientific dataset and AI infrastructure work, with no explicit humanitarian, health, or Movement-focused implementation pathway. Eligibility details are incomplete beyond a generic reference to additional information, so relevance for IFRC and National Societies is low.

Strategic fit

strong

Academic is the strongest profile match at 90/100; relevance is 20/100.

Eligibility risk

moderate

Eligible applicant types include Others (see text field entitled "Additional Information on Eligibility" for clarification).

Deadline feasibility

moderate

The call closes in 14 days, so proposal capacity is the main constraint.

Funding attractiveness

strong

The tracked ceiling is $100M across 50 awards.

Partnership need

moderate

This may be stronger with a Academic lead or co-applicant based on fit scores.

Recommended next action

Ignore

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.

OtherResearch26-512Grants.gov

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