The MIDAS affiliate faculty community consists of >400 U-M faculty members from over 60 departments.
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Longitudinal analyses across multiple databases, population modeling.
Single cell and spatiotemporal analyses of healthy and diseased tissues
Smart and adaptive water systems
Search-based software engineering and software refactoring
Analysis of Bach's organ music and performance
Simulation-based predictive design for new materials
Text disambiguation in scholarly data
Statistical inference for mechanistic models of infectious disease
Political science, data infrastructure, elections, organizations
Behavioral tax compliance and health economics
Mining and making sense of interconnected or graph data
targeting healthcare interventions
Characteristics and mechanisms of chronic clinical conditions