CAREER: Designing EdgeAI Tools With and For Communities in Low-Resource Settings — NSF Award to University of Tennessee Knoxville
Across many rural and resource-constrained communities in the United States (including agricultural regions, Appalachian and coal country areas), resident-led groups and civic organizations work to address local concerns ranging from water safety and soil health to food production and land conditions. Yet gathering and
| Award title | CAREER: Designing EdgeAI Tools With and For Communities in Low-Resource Settings |
|---|---|
| Award ID | 2543328 |
| Awardee | University of Tennessee Knoxville |
| City | KNOXVILLE |
| State | TN |
| Amount obligated | $376,586 |
| Principal investigator | Sai Swaminathan |
| Program | HCC-Human-Centered Computing |
| Start date | 08/01/2026 |
| Abstract | Across many rural and resource-constrained communities in the United States (including agricultural regions, Appalachian and coal country areas), resident-led groups and civic organizations work to address local concerns ranging from water safety and soil health to food production and land conditions. Yet gathering and acting on local data remains a persistent challenge. Existing tools for such tasks often assume reliable internet connectivity, use data platforms owned and managed by outside com |
| Source | NSF Awards |
$799/mo
Try NSFGrants →