Date/Time
Date(s) - March 20, 2020
11:45 am - 12:35 pm
Categories
Congyu Peter Wu, Ph.D.
Postdoctoral Fellow
University of Texas at Austin
Abstract: Mining Social Signals in Cyber-Human Systems for Novel Behavioral and Health Analytics
With increasingly advanced ubiquitous technology many applications centered on assessing human behavior and health stand to benefit from novel data and analytics. Especially, the types of data than can capture the comprehensive yet subtle information exchanged via modes of offline and online social interactions, or “social signals”, are promising yet under-exploited sources of evidence to help understand and improve human outcomes. The speaker will discuss his research addressing challenges in mining such social signals specific to three different scales of cyber-human systems: (1) on an individual level, to improve predictive mental health monitoring using social exposure patterns extracted from smartphone-based physical proximity data; (2) on a group level, to discover social dynamics in technology-mediated communication scenarios with inverse reinforcement learning and relational event models, and; (3) on a societal level, to forecast civil unrest activities in politically unstable areas using population-wide social media data. Following each thrust he will propose planned research agenda incorporating and integrating diverse human-centric data sources and data mining methodologies to contribute to aspects of human wellbeing and collective good.
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https://ufl.zoom.us/j/133507220
Meeting ID: 133 507 220