Behavioral Data Science Lab

We are a research group at the Paul G. Allen School of Computer Science & Engineering. Our aim is to explore and understand behavior through the lens of data science.

The Behavioral Data Science Group develops computational methods that leverage large-scale behavioral data to extract actionable insights about our lives, health and happiness through combining techniques from data science, social network analysis, and natural language processing.

We currently work on psychosocial AI, mental health, and human–AI collaboration.

Our Group

Team

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2026

Jina Suh returned to the lab as a principal researcher.

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Latest publications

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Past and present support

AdobeAI2The Bill and Melinda Gates FoundationMicrosoft ResearchThe National Institutes of HealthThe National Science FoundationThe Office of Naval Research