# Collaborative Research: Disciplinary Improvements: FAIR Pedestrian Accessibility Data for AI Research, Urban Analytics, and Civic Data Governance

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | University of Washington |
| Location | SEATTLE, WA |
| Project | Collaborative Research: Disciplinary Improvements: FAIR Pedestrian Accessibility Data for AI Research, Urban Analytics, and Civic Data Governance |
| Award amount | $400,000 |
| Obligated so far | $400,000 |
| Awarded | 2026-07-28 |
| Period | 2026-10-01 to 2029-09-30 |
| Program | SSA-Special Studies & Analysis |
| Directorate / division | CSE / OAC |
| Award ID | 2623243 |

## 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=2623243). 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.