The notices it replaced
Its page was not saved, so the notices it replaced are not known.
Who won it before
2 competing awards (new and renewals) from FY2014 to FY2025 under this notice and the notices it replaced: $1,695,612 in first-year total cost, median $847,806.
Most frequent study sections
- Special Emphasis Panel[ZMH1 ERB-B (08)]2
Most frequent institutions
- UNIVERSITY OF CONNECTICUT SCH OF MED/DNT1
- UNIVERSITY OF MASSACHUSETTS LOWELL1
| FY | Project | PIs | Institution | First-year cost | Study section |
|---|---|---|---|---|---|
| 2020 | Developing Suicide Risk Algorithms for Diverse Clinical Settings using Data Fusion1R01MH124740-01 | ASELTINE, ROBERT HCHEN, KUNWANG, FEI | UNIVERSITY OF CONNECTICUT SCH OF MED/DNT, CT | $854,246 | ZMH1 |
| 2020 | Improving Suicide Prediction using NLP-Extracted Social Determinants of Health1R01MH125027-01 | YU, HONG | UNIVERSITY OF MASSACHUSETTS LOWELL, MA | $841,366 | ZMH1 |
Data: Grants.gov's daily extract and NIH's notice pages and award files, in ScienceGraph release conductgrants-2026-11-10-0.1.1. An award is listed only where NIH's own record names the notice, and a PI only by NIH's profile ID. Grants.gov and NIH do not endorse ScienceDex.