American Family Insurance Data Science Institute
Established in July 2019, the American Family Insurance Data Science Institute (DSI) performs cutting-edge research in the fundamentals of data science, and catalyzes the translation of this research into practice to advance scientific discovery.
School of Computer, Data & Information Sciences
CDIS aims to be a preeminent center for discovery, learning and engagement related to computing, data and information. It is a collaboration of the departments of Computer Sciences and Statistics and the Information School (iSchool).
Institute for Foundations of Data Science
Building on previous work, and pursuing new goals sparked at the interfaces of mathematics, statistics, and theoretical computer science, IFDS aims to produce excellent research and collaborative approaches to investigating data science.
Machine Learning and Optimization Research Consortium
MOR’s research group is committed to working with industry partners to solve machine learning and optimization challenges in data analytics, healthcare systems, manufacturing, transportation, planning, logistics, and other commercial applications.
Machine Learning for Medical Imaging
The purpose of the ML4MI initiative is to foster interdisciplinary collaboration between machine learning experts and medical imaging researchers at the University of Wisconsin, in order to solve challenging problems in medical imaging.
Wisconsin Institute for Discovery
WID’s expertise in data science spans several disciplines, with the goal of developing end-to-end strategies for data collection, analysis, management, privacy, security, and decision-making. WID houses the Data Science Hub.
University Center of Excellence on Efficient and Robust Machine Learning (MADLab)
The MADLab is a University Center of Excellence developing the next-generation of machine learning theory, algorithms, and applications.