Utilizing Technology to Advance the Assessment of Suicide Risk in Schools

November 10, 2016 2:00pm

This webinar focused on the use of student-generated social media data to detect and monitor behavior patterns predictive of risk for suicide and self-injury. The Durkheim Project Application (DPA) is an existing digital technology, originally designed to apply machine learning algorithms to social media data to improve identification of risk for suicide in veterans. The presenters, Molly Adrian, Ph.D. and Aaron Lyon, Ph.D. of the University of Washington discussed their research into applying the DPA as a universal suicide prevention strategy to a general high school population in order to examine the extent to which student-generated social media data provide the information needed to accurately predict and reduce suicide risk compared to more traditional paper-and-pencil screening approaches.

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