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Activity Number: 282
Type: Invited
Date/Time: Tuesday, August 2, 2016 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract #318035
Title: A Bayesian Framework for Modeling Human Mobility
Author(s): Adrian Dobra*
Companies: University of Washington
Keywords: Spatial models ; Bayesian Models ; Human Mobility ; Network models ; Graphical Models ; Social Science

Geolocated trace data collected from smartphones (e.g., Twitter or smoke cessation apps) have opened new research avenues in the study of human mobility. In this talk I will present an overview of the scientific questions that can be answered based on spatiotemporal trajectories of human movement over short or long spaces. I will introduce a statistical modeling framework for capturing key aspects of mobility which is based, in part, on graphical models. In particular, I will focus on the collocation of individuals for short or long periods of time which induces complex dynamic networks of human-to-human interactions.

Authors who are presenting talks have a * after their name.

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