PUBLICATIONS
Computational Psychology and Wellbeing Lab at Stanford
The CPWB Lab uses NLP and large language data from the social web (Facebook, Twitter, Reddit) to measure the psychological states of large populations and individuals, to determine the thoughts, emotions, and behaviors that drive illness, depression, or support well-being.
HLAB: Human Language Analysis Beings Lab at Stony Brook
The Human Language Analysis Beings (HLAB) develops human-centered language processing techniques, pushing the bounds for artificial intelligence-based (AI) language understanding and improving the accurate assessment and understanding of human and social psychological health.
Ungar Lab at UPenn
Dr. Ungar’s lab develops explainable machine learning, deep learning, and natural language processing methods for psychology and medical research. Applications include the analysis of social media language and cell phone sensor data to better understand the drivers of physical and mental well-being. We, for example, are trying to better measure and understand empathy, stress, life satisfaction and friendship.
Dr. Boyd's Computational Social Science Lab (CSSL) pioneers computational and behavioral analytics, such as natural language processing, to comprehensively measure and understand the many facets of human experience. By exploring the reasons behind our thoughts, feelings, and actions, CSSL aims to uncover patterns that reveal the underlying principles of human behavior through rigorous, empirical methods. And we have a lot of fun while we’re doing it 😊
CSSL: The Computational Social Science Lab at the University of Texas at Dallas