The Michigan Institute for Data Science (MIDAS) is the focal point for the new multidisciplinary area of data science at the University of Michigan. This area covers a wide spectrum of scientific pursuits (development of concepts, methods, and technology) for data collection, management, analysis, and interpretation as well as their innovative use to address important problems in science, engineering, business, and other areas. Data science is now widely accepted as the fourth mode of scientific discovery, on par with theory, physical experimentation and computational analysis. Techniques based on Big Data are showing promise not only in scientific research, but also in education, health, policy, and business.
Active research in Data Science at U-M ranges from data management, data curation and data-sharing incentives to statistics, machine learning, and data visualization, addressing problems in astronomy, evolutionary biology, disease model discovery, health policy, materials synthesis, personalized medicine, social sciences, and teaching and learning. Since 2010, the university has been running an annual symposium that has drawn participants from over 30 departments across the university.