At the Y Lab, we study the hidden architectures of complex systems through network science and artificial intelligence. From understanding how neural networks encode information to mapping how beliefs spread through populations, from tracing scientific breakthroughs to assessing AI’s impact on work and society, we tackle fundamental questions across biological, social, and technological domains. We connect different disciplines and methods with curiosity and positivity.

Research Tags: Network Science; AI and Machine Learning; Representation Learning; Natural Language Processing; Computational Social Science; Science of Science; Complex Systems; Contagion; Belief Dynamics; AI and Labor Market; Computational Neuroscience and Biology; Cultural Analytics

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Research Areas
Artificial Intelligence and Machine Learning
Biomedical, Health, and Life Sciences
Business, Markets, and Policy
Computational Sciences
Theory, Foundations, and Advanced Methodologies
Faculty
YY Ahn
Quantitative Foundation Distinguished Professor of Data Science
School of Data Science