Data Science for Human Well-Being

Explore a keynote presentation on leveraging data science to enhance human well-being. Discover how digital activity traces from wearable and mobile devices can provide novel insights into health, happiness, and behavior. Learn about computational methods combining data mining, social network analysis, and natural language processing to generate actionable insights from billions of actions taken by millions of people. Understand how these approaches reveal global health inequalities, provide insights into sleep and cognitive performance through search engine usage patterns, and improve mental health services using natural language processing. Gain valuable knowledge from Tim Althoff, an assistant professor at the University of Washington, as he shares his research on turning observational data into strong scientific results and testing domain theories at scale.

Data Science for Human Well-Being: Tim Althoff (Allen School)