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 REALM (Research on Experience and Action with Language Models) Lab is a research lab at UT Dallas that studies how everyday language reveals — and can help improve — human psychology. We fuse social, personality, and mental-health science with advanced computational methods to model people’s thoughts, feelings, personalities, motives, and behaviors from natural text and speech. Our work ranges from large-scale analyses of real-world communication to lab and field studies that test how language patterns relate to well-being, social connection, beliefs, and decision-making.
REALM Computational Social Science Lab at the University of Texas at Dallas