The MIDAS affiliate faculty community consists of over 450 U-M faculty members from over 60 departments.
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Visualizing the interaction between learners and learning technology
Mathematical and statistical modeling for public health
Computer modeling of interactions between choices and environment
Brueckner leverages her background in algorithms and engineering to speculate and prototype preferred technological futures.
Computational social science
chronic disease self management.
Agritech, Big Data, Environmental Social Sciences
Sustainable energy systems and reliability engineering
J. Brian Byrd
Patient-oriented hypertension research, collaborations with data scientists
Jessica K. Camp
National and international trends in poverty and inequality
Natural language processing, and computational social science, machine learning
complex adaptive systems, human-wildlife coexistence
Computational design of chemical reactions and synthesis
Quantitative markers for temporomandibular joint osteoarthritis risk prediction
Artificial Intelligence, Natural language processing, situated communication
Multi-agent decision-making, collective forecasting, fairness and diversity