PICANTE (IMAGE)
Caption
Schematic of project integration across the four NSF directorates: engineering (ENG), biological sciences (BIO), social sciences (Social, Behavioral, and Economic sciences, SBE), and informatics (Computer Information Science and Engineering, CISE). Briefly, engineers will use tissue samples available through biorepositories to develop rapid, affordable methods of genomic-scale pathogen surveillance. Genomic identification of pathogens and hosts, will be combined with museum database information, including GPS collection localities, which will together be applied toward three machine learning and mathematical modeling approaches. Predictive models of pathogen emergence will source data pertaining to the human-animal interface from social science resources and, in turn, inform local communities, policy makers, and global networks (e.g., MEPA [Museums and Emerging Pathogens in the Americas]) of risk status and predictive features (environmental, social, or biological).
Credit
PICANTE
Usage Restrictions
None
License
Original content