December 11, 2018
2:00pm – 3:00pm Los Angeles
Venue
Center for Community Health, UCLA Wilshire Center
Sean Young, PhD
Associate Professor
UCLA Department of Family Medicine
Executive Director of the University of California Institute for Prediction Technology (UCIPT)
Tuesday, December 11, 2pm – 3pm
Center for Community Health, UCLA Wilshire Center
10920 Wilshire Blvd., Suite 350, Room 350-46 (Conference Room)
*** LIGHT REFRESHMENTS WILL BE SERVED ***
We will begin promptly at 2:00 p.m.
Social data from technologies such as social media, online search, and mobile apps are being used to better understand and predict real-world events and outcomes, including HIV transmission. For example, researchers in the health and medical space have been studying whether social data might be used to monitor and predict outbreaks of disease, susceptibility to disease, and patient response to treatment. This talk with provide an overview of the field of work on prediction technology using social data, such as 1) how Twitter is being used to predict HIV risk behaviors and syphilis transmission, 2) how google search terms are being used to predict political events, and 3) the ethical issues behind this approach (e.g., social media users’ perceptions of having their data used for research).