Analyzing our world through data, algorithms and computational methods.
Computational Social Science merges big data analytics with social theory to decode human behavior. Our researchers use advanced computational tools to study everything from individual interactions to large-scale social phenomena, drawing insights from digital footprints across platforms.
Through computational modeling and large-scale data analysis, researchers study how individual actions create broader social patterns. The interdisciplinary approach combines social theory with cutting-edge computational methods to understand human behavior in the digital age.
Research spans from analyzing human communication through natural language processing to mapping social connections via network science. Work explores cultural patterns using digital humanities approaches, studies learning through educational technology, and examines market behavior through computational economics.
Researchers find AI-generated empathy has its limits
Alexa and Siri are designed to answer questions, offer suggestions – and even display empathy. But these agents are powered by large language models (LLMs), and can be prone to the same biases as the humans from which the information comes.
Faculty studying people and society through computational approaches.
