This work was supported by Cooperative Agreement #NU58DP007539-01 from the Centers for Disease Control and Prevention (CDC).
Social technologies and their associated data are increasingly being used as tools in public health research and practice. Examples include social media, mobile apps, internet searches, and wearable sensors. More than half the world (4.5 billion people) uses social media sites to create, share, and discuss content—often in the form of personal thoughts, behaviors, and clinical diagnoses. Dr. Young will discuss how social technologies and data (e.g., artificial intelligence and data science modeling) are being used to impact public health and how researchers and health departments/agencies might apply them in public health surveillance/intervention efforts.
Speaker
Sean D. Young, Ph.D., M.S., is executive director of the University of California Institute for Prediction Technology (UCIPT) and associate professor (a split appointment) in the Department of Emergency Medicine, School of Medicine, and the Department of Informatics, Donald Bren School of Information and Computer Sciences, at the University of California, Irvine.