Category III: Planning Federated AI-Ready Cyberinfrastructure for Advanced Microscopy and — NSF Award to University of Massachuset
The project will investigate the feasibility, community acceptance, and design requirements for a federated, cross-domain, AI-ready data cyberinfrastructure. The proposed concept of a national data system serving domains of advanced microscopy, imaging, materials, biology, and environmental sciences connects workflows
| Award title | Category III: Planning Federated AI-Ready Cyberinfrastructure for Advanced Microscopy and |
|---|---|
| Award ID | 2609490 |
| Awardee | University of Massachusetts Lowell |
| City | LOWELL |
| State | MA |
| Amount obligated | $499,490 |
| Principal investigator | Lewis Tseng |
| Program | Data Cyberinfrastructure |
| Start date | 08/01/2026 |
| Abstract | The project will investigate the feasibility, community acceptance, and design requirements for a federated, cross-domain, AI-ready data cyberinfrastructure. The proposed concept of a national data system serving domains of advanced microscopy, imaging, materials, biology, and environmental sciences connects workflows across institutions without requiring all raw data to be centralized. This effort will help transform isolated local repositories into reusable national resources for more reproduc |
| Source | NSF Awards |
$799/mo
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