This digital symposium explores the ethical, legal, and social implications of advances in deep phenotyping in psychiatry research. Deep phenotyping in psychiatric research and practice is a term used to describe the collection and analysis of multiple streams of behavioral and biological data, some of this data collected around the clock, to identify and intervene in critical health events. This symposium raises questions on the interrelated ethical, legal, and social issues around deep phenotyping, including consent, privacy, transparency, autonomy, data sharing and security, return of research results, incidental findings, direct-to-consumer ethics, and possible bias in predictive algorithms.

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