Closed · DE-FOA-0002306 · CFDA 81.049 · Discretionary
FAIR Data and Models for Artificial Intelligence and Machine Learning
Federal grant opportunity posted by Office of Science, cataloged on Grants.gov.
- $150K-$750K
- Award range
- Closed
- Status
- May 15, 2020
- Close date
- 7
- Expected awards
The verdict
FAIR Data and Models for Artificial Intelligence and Machine Learning is a closed discretionary listing from Office of Science that offered $150,000 -- $750,000 across 7 expected awards. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 414 other opportunities from Office of Science.
- $150K-$750K
- award range
- Closed
- application status
- 7
- expected awards
- 81.049
- CFDA program
Archived opportunity record
FAIR Data and Models for Artificial Intellige… is closed (last close May 15, 2020). The parent program page for CFDA 81.049 is the reliable place to catch re-announcements. Office of Science still indexes 414 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed May 15, 2020
Est. Total Funding
$8,500,000
Expected Awards
7
Instrument
Cooperative Agreement
Description
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in making research data and artificial intelligence (AI) models findable, accessible, interoperable, and reusable (FAIR1) to facilitate the development of new AI applications in SC’s congressionally authorized mission space, which includes the advancement of AI research and development. In particular, ASCR is interested in supporting FAIR benchmark data for AI; and FAIR frameworks for relating data and AI models. For this FOA, AI is inclusive of, for example, machine learning (ML), deep learning (DL), neural networks (NN), computer vision, and natural language processing (NLP). Data, in this context, are the digital artifacts used to generate AI models and/or employed in combination with AI models during inference. An AI model is an inference method that can be used to perform a “task,” such as prediction, diagnosis, or classification. The model is developed using training data or other knowledge. An AI task is the inference activity performed by an artificially intelligent system.
Catch-all / unrestricted eligibility mark · DE-FOA-0002306
Grants.gov marks FAIR Data and Models for Artificial Intellige… with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the Office of Science book (278 peers, 67% of 415).
- Code 99
- Unrestricted / see official listing
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Basic Energy Sciences
U.S. Department of Energy
Agency Contact
Dr. Laura Biven Program Manager Phone 301-903-5000
More from Office of Science
What to do next
FAIR Data and Models for Artificial Intellige… is closed; use the parent program and agency catalog for the next funding cycle.
- Parent CFDA 81.049 may publish future NOFOs under the same assistance listing. Open program
- Basic Energy Sciences indexes 6 Grants.gov listings in this extract. Program profile
- Office of Science lists 414 other indexed opportunities on PlainGrants. Agency catalog
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |