# EAGER: Artificial Intelligence (AI) and Machine Learning (ML)-Enhanced Multi-Molecular Proxies for Tracing Fire-Climate-Ecosystem Feedbacks

**Budget Signal Score:** 25/100

| Field | Value |
|---|---|
| Institution | University of Connecticut |
| Location | STORRS, CT |
| Project | EAGER: Artificial Intelligence (AI) and Machine Learning (ML)-Enhanced Multi-Molecular Proxies for Tracing Fire-Climate-Ecosystem Feedbacks |
| Award amount | $99,999 |
| Obligated so far | $99,999 |
| Awarded | 2026-08-03 |
| Period | 2026-08-15 to 2028-07-31 |
| Program | ESH-Earth System Hazards, LET-Life & Enviro Through Time |
| Directorate / division | GEO / GCP |
| Award ID | 2611605 |

## Why this score
- Award of $99,999.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2611605). Last refreshed: 2026-11-03T18:10:42.804Z.
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.