The Directorates for Biological Sciences (BIO); Computer Information Science and Engineering (CISE); Engineering (ENG); Social, Behavioral and Economic Sciences (SBE); and the Office of International Science and Engineering (OISE) at the National Science Foundation (NSF) have jointly supported a series of interdisciplinary workshops to engage research communities around the topic of Predictive Intelligence for Pandemic Prevention.
The fourth and concluding workshop will be held on March 22-23, 2021 and examine how human attitudes, social behavior, and the drivers underlying both contribute to disease transmission through their determination of policy and behavioral obstacles and supports. We encourage investigators across the biological sciences involved in infectious disease-related research to participate as the workshop will provide an opportunity to network with researchers in akin areas across the sciences and engineering. You can register at https://nsf.zoomgov.com/webinar/register/WN_p3YtA1RwQPCV6z1wWZAx7g.
Previous workshops have focused on the ability to rapidly detect and assess the threat of emerging pathogens; an understanding of how the global behavior of an organism is related to interactions between components at the molecular, cellular, and physiological scales; and the identification of pre-emergence and the prediction of rare events.
The goal of the series is to bring together interdisciplinary experts in the biological, engineering, computer, and social and behavioral sciences to start conversations and catalyze ideas on how to advance scientific understanding beyond state-of-the-art in pre-emergence and emergence forecasting, real-time monitoring, and detection of inflection point events in order to prevent and mitigate the occurrence of future pandemics. As per our mission, these NSF supported workshops will focus on the foundational knowledge and capabilities needed to inform future infectious disease outbreak prediction and pandemic prevention.
Each of these workshops is expected to have up to 50 invited active participants. The community can participate in a listen-only mode and interact through chat and Q&A functions.
More information on the series can be found at https://www.nsf.gov/events/event_summ.jsp?cntn_id=302023&org=CISE.