The National Science Foundation SBE Office of Multidisciplinary Activities awarded $200,151 under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) to the University of California, Los Angeles for the period of September 1, 2022 through February 29, 2024.
The award will support development of a prototype pandemic early warning system powered by artificial intelligence, machine learning, and open-source technologies. The system will monitor biological, environmental, socioeconomic, behavioral and media data from diverse sources to identify unusual activities that could signal the emergence of novel pathogens. It aims to simultaneously look for signs of known and emerging infectious diseases, predict their spread, and detect and monitor associated risk factors over time and location. The prototype will integrate human and machine intelligence and be designed for extensibility to incorporate additional data sources and models to detect and predict outbreaks regardless of disease characteristics or scale.
Generated 1/6/24, 8:26 PM