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Project Summary

Our team proposes to collect data from a large sample of people who experience hallucinations using smartphone behavioral measurement tools. With the aid of innovative computational modelling strategies, these data will be used to develop “clinical signatures” that indicate which individuals are at heightened risk for severe outcomes such as hospitalization and suicide. If successful, these measures and models can be used to guide scalable clinical decision making, resource allocation, treatment, and impactful prevention efforts.

This project is being co-led by Dror Ben-Zeev, PhD from the University of Washington. It also includes the following faculty members: Benjamin Buck, PhD, Justin Tauscher, PhD (UW Psychiatry and Behavioral Sciences), Serguei Pakhomov, PhD, Martin Michalowski, PhD (University of Minnesota), and Alex Cohen, PhD (Louisiana State University).

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