# Excellence in Research: Harnessing Data Science to Quantitatively Predict the Partitioning Behavior of Per and Polyfluoroalkyl Substances (PFAS)

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | North Carolina Agricultural & Technical State University |
| Location | GREENSBORO, NC |
| Project | Excellence in Research: Harnessing Data Science to Quantitatively Predict the Partitioning Behavior of Per and Polyfluoroalkyl Substances (PFAS) |
| Award amount | $674,685 |
| Obligated so far | $674,685 |
| Awarded | 2026-08-18 |
| Period | 2026-09-01 to 2029-08-31 |
| Program | HBCU-EiR - HBCU-Excellence in |
| Directorate / division | ENG / CBET |
| Award ID | 2602933 |

## Why this score
- Award of $300K or more.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2602933). 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.