High Performance Computing
Affiliated Faculty investigate the foundations, applications, and impacts of AI in the context of their own primary research areas.
Cognitive Science
Network science, Connectomics, Data science
Theoretical Computer Science
Computational Social Science
Human vision
Quantum and Emerging Computing
Educational Technology
Information Diffusion, Complex Networks, Computational Social Science
Theoretical and Computational Chemistry, Material Science
Digital Heritage
Quantum and Classical Machine Learning
Computer-supported collaborative learning
Nanoscale simulations for material design
Hardware Design
Health, AI-HCI, AI Ethics
Social Behavior Regulation
Security and Privacy
Cancer Biology and Immunology
Neuroimaging Statistics
Computational Social Science
Data Governance and High Performance Computing
Probabilistic Programming, Semantics
Human-Computer Interaction, Health Informatics, Social Computing, Animal-Computer Interaction
Developmental Psychology
Computational Biology
Computational Decision Making
AI- and Data-centric Security and Privacy Protection
Computational Biology
AI and Art
Integrative data science
Reverse Engineering Biological Intelligence
Computational Cognitive Development
Bioinformatics, Microbiome Research
Reinforcement theory, Distributed learning, Learning theory