Connect and learn with faculty, staff, and students engaged in data science at UW–Madison by joining a data science community. These communities offer seminars, forums, discussions, and other opportunities to engage.
UW–Madison Carpentries Community
The University of Wisconsin-Madison has a long-standing relationship with the Carpentries, a global organization of researchers who volunteer their time and effort to create workshops that teach software engineering and data analysis skills to other researchers.
ComBEE
ComBEE is a group of researchers at UW-Madison interested in computational biology in ecology and evolution.
ML+X
ML+X is a community of practice that brings together students, researchers, and industry professionals who share an interest in using machine learning (ML) methods to advance their work (X).
Machine Learning for Medical Imaging (ML4MI)
The overall purpose of the Machine Learning for Medical Imaging initiative is to foster interdisciplinary collaboration between machine learning experts and medical imaging researchers at the University of Wisconsin, in order to develop and apply state-of-the-art ML solutions to challenging problems in medical imaging.
EVIL Reading Group
The Ethics, Values, Information, and Law (EVIL) reading group pursues scholarship in the intersections of ethics, law, and data and information technologies. The EVIL Reading group meets every three weeks (roughly), Fridays, online, and is hosted in collaboration with the iSchool and ML+X.
Systems | Information | Learning | Optimization (SILO)
The Systems, Information, Learning and Optimization research group at the University of Wisconsin-Madison aims to build a community of mathematically-minded researchers interested in computational and mathematical sciences. SILO is about breaking down the “silos” of research created by academic department boundaries.