# Collaborative Research: CAIG: Graph Neural Network-based Digital Twins for Subsurface Geoscience

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | University of Texas at Austin |
| Location | AUSTIN, TX |
| Project | Collaborative Research: CAIG: Graph Neural Network-based Digital Twins for Subsurface Geoscience |
| Award amount | $364,836 |
| Obligated so far | $364,836 |
| Awarded | 2026-07-30 |
| Period | 2026-09-01 to 2029-08-31 |
| Program | AI and Geosciences |
| Directorate / division | GEO / GCP |
| Award ID | 2615649 |

## Why this score
- Award of $300K or more.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2615649). 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.