Craig J.R. Sewall, PhD

Craig J.R. Sewall, PhD

Research Scientist

University of Pittsburgh School of Medicine

Biography

Dr. Sewall is a Clinical Data Scientist in the Department of Psychiatry at the University of Pittsburgh School of Medicine and a Licensed Clinical Social Worker. His research has two interrelated foci: (1) understanding the relationship between digital media use and well-being among youth, and (2) leveraging advancements in ubiquitous computing and computational modeling to develop suicide prevention tools. Dr. Sewall’s current NIMH-funded work applies machine learning to passive sensing data collected from smartphones and wearables to predict suicidality among high-risk youth. Dr. Sewall’s research has been published in top-tier academic journals such as Nature Human Behavior, Journal of Child Psychology and Psychiatry, Journal of Affective Disorders, and Clinical Psychological Science, and featured in popular media outlets such as Fast Company, Psychology Today, and Medical News Today.

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Interests
  • Mental Health
  • Computational Modeling
  • Passive Sensing
  • Social Media
Education
  • PhD in Quantitative Social Science, 2021

    University of Pittsburgh

  • Master of Social Work (MSW), 2012

    University of Pittsburgh

  • BA in Sociology, 2009

    Westmont College

Selected Publications

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(2022). Social media and well-being: A methodological perspective. Current Opinion in Psychology.

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(2022). Does objectively-measured social media or smartphone use predict depression, anxiety, or social isolation among young adults?. Clinical Psychological Science.

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(2022). Using Browser Data to Understand Desires to Spend Time Online. Technology, Mind, and Behavior.

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(2021). A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour.

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(2021). A Bayesian multilevel analysis of the longitudinal associations between relationship quality and suicidal ideation and attempts among youth with bipolar disorder. Journal of Child Psychology and Psychiatry.

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(2021). Personalizing Suicidology. Crisis.

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(2020). How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use. Mobile Media and Communication.

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