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

U.S. National Science Foundation · 26-512 · Deadline: November 4, 2026

This listing sits under an agency-wide umbrella (CFDA 47.041, Engineering — ~1967 awards/yr across many separate competitions). Program-level statistics would describe the whole umbrella, not this competition, so we don't show them as if they were this opportunity's history. Any tool showing "award history" for this listing at the program level is describing the umbrella.

Listing summary

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 integ…

Eligibility: Others · Categories: Science and Technology · official listing ↗

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Sources: NIH RePORTER (opportunity-exact) and USAspending (program-level), labeled per section. GrantsDue computes summaries only; verify anything critical against the originals. Methodology.