# EAGER: Feyenman: Developing and Evaluating Computational Transparency Approaches for Understanding AI Systems

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | Virginia Polytechnic Institute and State University |
| Location | BLACKSBURG, VA |
| Project | EAGER: Feyenman: Developing and Evaluating Computational Transparency Approaches for Understanding AI Systems |
| Award amount | $299,538 |
| Obligated so far | $299,538 |
| Awarded | 2026-07-27 |
| Period | 2026-09-01 to 2028-08-31 |
| Program | Software & Hardware Foundation |
| Directorate / division | CSE / SSF |
| Award ID | 2629707 |

## Why this score
- Award of $299,538.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2629707). Last refreshed: 2026-11-04T18:13:44.963Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.