This evening dinner update, in collaboration with the Erie Department of Health and Erie HIV Task Force, will be held at the Bayfront Convention Center. The presenters will discuss Sexual Health History Taking and Sexual Health and Stigma, followed by a panel of local providers.
The relationships between individual behavior and broader-scale societal structures have been central to a range of human phenomena, from job and migration decisions to political participation to the experience of a specific health-related event. Recent progress in predictive analytics along with big data offers a powerful way to explore those relationships but often gives rise to the "black box" problem with little insight into what goes on in the algorithmically learned relationships. In this talk, Dr. Lin will present a spatiotemporal learning approach that leverages a deep learning framework with relevant social theories to help examine the relationship between human-societal activity and their social and geographical contexts, with applications including predicting political protest and opioid overdose events. The approach is not only capable of forecasting the occurrence of future events, but also provides theory-relevant interpretations -- it allows for interpreting what features, from which places, have significant contributions on the forecasting model, as well as how they make those contributions.
Last Updated On Tuesday, April 02, 2019 by Crow, Sharon Weber
Created On Tuesday, April 02, 2019