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iSchool Seminar: Capturing Digital Signals for Health Research

06 Mar
Tuesday, 03/06/2018 4:00pm to 5:00pm
Computer Science Building, Room 151
Speaker: Yelena Mejova

Abstract: The scale and complexity of the traces of human behavior captured on the web has been a useful resource for tracking disease, pushing the lag of conventional health tracking to more real-time "now-casting". These signals provide a rich source of information about the context of people's health conditions, revealing their cultural, social, and personal attitudes and behaviors, making social media data especially useful for understanding lifestyle diseases, such as obesity and diabetes -- conditions that claim more lives than infectious diseases worldwide. In this talk I will present some of the latest findings in the area of lifestyle disease tracking via large social media collections encompassing population and individual scales.

Reception for attendees at 3:30 p.m. in CS 150

Faculty Host