ActiveGRANT

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

Name: Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)
Creator: U.S. National Science Foundation
Keywords: GRANT

U.S. National Science FoundationU.S. National Science Foundation

AI Overview

NSF seeks proposals to unlock hidden value in existing scientific datasets through AI-driven feature extraction, metadata generation, and automated analysis pipelines. Enable interdisciplinary discovery by harmonizing data for AI tools while addressing security, governance, and community contribution frameworks.

This summary is AI-generated from the official solicitation.

Key Details

Agency

U.S. National Science Foundation

Funding Amount

Up to $100,000,000

Release Date

July 21, 2026

Due Date

November 4, 2026

Official Description

<p>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.</p...

View on official source

Change History

Field UpdatedOct 5, 2026 at 5:04 PM

Informational change · Unknown

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

CFDA Numbers Change

What changed:

Removed CFDA 47.070 from the funding opportunity

Why it matters:

CFDA 47.070 is the NSF code for "Computer and Network Systems" research. Its removal narrows the scope of eligible projects under this solicitation.

For applicants:

If your project focuses on computer systems, networking, or cybersecurity, verify whether it qualifies under the remaining CFDA codes (47.041, 47.049, 47.050, 47.074, or 47.084)
Projects previously eligible solely under 47.070 may no longer fit this funding opportunity
Review the remaining codes to confirm your research area is still covered (likely computing education, IT research infrastructure, or other NSF Computing divisions)

Date ChangedOct 5, 2026 at 5:04 PM

Informational change · Unknown

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

Minor editorial changes to the archive date field formatting. The timestamp was reformatted from ISO 8601 format (2026-12-04T05:00:00+00:00) to a standard datetime format (2026-12-04 05:00:00+00:00), but the actual date and time remain unchanged at December 4, 2026 at 5:00 AM UTC. No impact on applicant deadlines or opportunities.

Date ChangedOct 2, 2026 at 5:04 PM

Informational change · Unknown

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

Minor editorial changes to the archive_date field.

The deadline date itself remains December 4, 2026 at 5:00 AM UTC—no change to the actual deadline. The update only reformats the timestamp from ISO 8601 format (2026-12-04T05:00:00+00:00) to a standard datetime format (2026-12-04 05:00:00+00:00).

No impact on applicant timelines or submission deadlines.

Field UpdatedAug 1, 2026 at 1:04 PM

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

Minor editorial changes: Added parenthetical subtitle "(AI Datasets)" for clarification. This provides explicit keyword emphasis but does not alter program requirements, scope, or eligibility criteria.

Description ChangedAug 1, 2026 at 1:04 PM

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

Minor editorial changes only. The content and requirements remain identical. The update converts plain text formatting to HTML paragraph tags (<p>) and standardizes hyperlink attributes (adding target="_blank" rel="noopener noreferrer"). No substantive changes to program scope, objectives, eligibility, or requirements.

Date ChangedAug 1, 2026 at 1:04 PM