Lectures and seminars Data-Driven & AI Research Seminar: Building Bridges Between Data and Human Experience

Speaker

Dr. Yulin Hswen, Associate Professor of Epidemiology & Biostatistics at UCSF and UC Berkeley’s Computational Precision Health program. Her research develops and applies multimodal AI and digital phenotyping methods drawing on social media, smartphones, and connected devices to study population health, emotion, and societal dynamics. She also serves as an Associate Editor at JAMA, leading initiatives on AI in research, publishing, and global collaboration.

Seminar topic

Building Bridges Between Data and Human Experience: Multimodal AI, Social Media, and the Future of Research, Publishing, and Collaboration.

This talk explores how multimodal AI and digital phenotyping can transform the way we understand human behavior, emotion, and society by leveraging signals from social media, connected devices, and other digital data streams. Beyond methods, it examines the broader ecosystem shaping the future of artificial intelligence including its role in academia, the evolution of scientific publishing and journals, the dynamics of research funding, and the necessity of global collaboration. By linking technical methods with questions of knowledge dissemination and societal impact, this discussion highlights how AI can bridge the gap between data and lived experience while shaping the future of scholarship, policy, and the academic collective.