The MIDAS affiliate faculty community consists of over 420 U-M faculty members from over 60 departments.
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Materials Discovery and Design, Materials Informatics
adaptation, classification, estimation, modeling, predictive control, real-time optimization
Integrated Computational Materials Engineering (ICME), Materials Informatics and Quantum Computing.
Social factors of health behaviors and health outcomes
The economic and social analysis of sport
Statistical Machine Learning, biomedical data
Statistical methodology for cancer research
Neuroimaging and brain stimulation, diagnosis and psychiatric treatments
Sociotechnical systems for collaboration and successful learning outcomes
computational methods, experimental methods, science of science
computational population genetics