The MIDAS affiliate faculty community consists of >400 U-M faculty members from over 60 departments.
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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
Statistical methods for sequential decision making in personalized health
collaborative use of computational systems for scholarly research, data curation, scientific data practices
Mass media and their impact on American politics
Security, and optimization Smart Grid data, privacy
Machine learning and optimization systems models for healthcare
Urban dynamics, citizen participation, mobility and transportation, urban sensing
Fast and scalable algorithms for differential and integral equations on complex moving geometries
Use Data Science to promote high-value care in low resource settings.