The NSF Predictive Intelligence for Pandemic Prevention (PIPP) Workshop – Pandemic Readiness for Emerging Pathogens (PREP) will foster scientific discussion and catalyze innovation and partnerships to significantly enhance our understanding of the challenges and potential solutions to rapid detection and assessment of emerging pathogens through advanced biosensors, surveillance, modern data analytics such as machine learning, and the tracking of human and non-human populations for risk modeling and pandemic preparedness.
This interdisciplinary workshop will have participation from academia, government, industry and non-governmental organizations. Research disciplines are drawn from the purview of the following four NSF directorates: Engineering (ENG), Biological Sciences (BIO), Computer and Information Science and Engineering (CISE), and Social, Behavioral and Economic Sciences (SBE).
PREP has four topical thrusts:
1) Rapid and Accurate Detection and Assessment of Emerging Pathogens
2) Monitoring Environmental Change, Animal Movements, and High-Risk Interfaces for Disease Transmission
3) Monitoring Human Movements and At-risk Communities for Disease Transmission and Spread
4) Data-Intensive Machine Learning and Modeling for Pandemic Preparedness.
This workshop will bring together specialists who are advancing rapid pathogen detection, biosensing, and the tracking of human and animal populations for the purpose of risk modeling and pandemic preparedness. The goal of the workshop is a roadmap for research investments to address key technical and scientific challenges for pandemic prevention.
We abide by the norms of conference conduct as delineated in the NSF link below.
Topic: Pandemic Readiness for Emerging Pathogens (PREP)
The recordings of the webinar (vision speakers and thematic panels) will be posted on this website at the end of the workshop.