This $1,999,688 National Science Foundation Project Grant supports the development of predictive intelligence for pandemic prevention through transdisciplinary innovation. Funded by NSF's Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to the University of California, Davis enables advancement of predictive capabilities for forecasting pandemic risk through three key research areas. First, the team will characterize environmental conditions and human factors driving disease emergence at the animal-human interface. Second, they will develop broad-spectrum sensor technologies for rapid, accurate pathogen detection in diverse animal populations. Third, the team will integrate epidemiological and landscape data with machine learning to improve forecasting. The University of Southern California and Northeastern University receive subawards totaling $XXX,XXX to support sensor engineering and development efforts integral to achieving the grant's objectives. The funding aims to generate actionable intelligence for early pandemic threat detection through transdisciplinary collaboration across engineering, computer science, social science, epidemiology and virology.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $999.8k | 6/24/22 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
A222666S001A01S | Northeastern University | Project Grant 2200221 | $50.0k | 8/14/23 | |
A222666S003A01S | University Of Southern California | Project Grant 2200221 | $50.0k | 8/9/23 | |
A222666S003S | University Of Southern California | Project Grant 2200221 | $100.0k | 10/27/22 | |
A222666S001S | Northeastern University | Project Grant 2200221 | $100.0k | 9/2/22 |