# A New Incentive Design Theory for Learning Agents in Federated Population Games

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | University of Maryland, College Park |
| Location | COLLEGE PARK, MD |
| Project | A New Incentive Design Theory for Learning Agents in Federated Population Games |
| Award amount | $530,000 |
| Obligated so far | $530,000 |
| Awarded | 2026-08-10 |
| Period | 2026-08-15 to 2029-07-31 |
| Program | EPCL: Energy, Power, Control, |
| Directorate / division | ENG / ECCS |
| Award ID | 2536055 |

## 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=2536055). 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.