Events Calendar
- September
- September 18
- September 18Exploring AI in Teaching: Navigating the Promise and Perils of AI in Writing AssignmentsCenter for Teaching, Learning & Mentoring12:00 PM, Online
- September 18
- September 20
- September 20R Programming for Researchers: R Basics (online)10:00 AM, Online, connection information will be sent in advance
- September 20
- September 20Twenty-First Century Technology and Language Education: Thinking Together About Some Existential QuestionsA lecture on artificial intelligence for language educators and researchers by Rick Kern, University of California, Berkeley2:30 PM, Online
- September 23Research Cyberinfrastructure Virtual Office Hours (FREE and Online)Learn about ResearchDrive, Research Object Storage (S3), Electronic Lab Notebooks, Data Science Platform, Cloud Services1:00 PM, Online
- September 23Molecular Simulations and Machine Learning for Computational Design of Materials with Fast Oxygen KineticsSustainable Energy Seminar Series: Dane Morgan, Professor, Materials Science and Engineering3:30 PM, 1115 Wisconsin Energy Institute
Also offered online - September 24Python Programming: Introduction (Online) - Repeat10:00 AM, Online. Workshop link will be emailed to registrants.
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Seminars Listing
Scroll down to learn about the many data science-related seminars, forums, and talks at UW–Madison. For seminar times, locations, and other details, click on the links. If you would like to add a data science-related seminar to this list, please contact us.
Applied Algebra Seminar
The Applied Algebra Seminar is a fortnightly seminar that welcomes participants with applied algebra interests. A brief 5-10 minute social time precedes each event, and all are welcome to join.
Applied and Computational Mathematics Seminar (ACMS)
The ACMS meets weekly. Talks cover a broad range of applications of mathematics and computation in domains such as fluid dynamics, biology, biochemistry, topology, and data science.
Biostatistics and Medical Informatics (BMI) Seminars
The BMI department hosts a weekly seminar that often features data science and machine learning methodologies applied to image analysis, genomics, computational biology, and population studies.
CDIS Red Talks
RED Talks are a CDIS (School of Computer, Data & Information Sciences) event series designed to advance learning at the intersection of technology and humanity. RED Talks feature academic and industry leaders sharing their work and offering insights into topics that are often interdisciplinary and always cutting edge.
Computation and Informatics in Biology and Medicine (CIBM) Seminars
The CIBM seminar brings together CIBM trainees and trainers, as well as other interested faculty and students, for cross-disciplinary exposure to current research in computer science, biostatistics, engineering, biological sciences, and medicine.
HAMLET Seminar Series
HAMLET (Human, Animal, and Machine Learning: Experiment and Theory) is an interdisciplinary proseminar series that started in 2008. The goal is to provide behavioral and computational graduate students with a common grounding in the learning sciences.
ML+X Forum
This monthly forum features lightning talks and group discussions on real-world applications of ML. Each forum highlights two ML applications that share a theme, followed by communal discussion and project feedback.
Machine Learning for Medical Imaging (ML4MI) Seminars
This regular series includes seminars describing technical developments in ML with potential biomedical applications, and seminars led by radiology and other biomedical researchers highlighting ML applications in their fields of study.
Machine Learning and Physics Seminars
The Physics Department hosts two seminars focused on machine learning: the (roughly) monthly Machine Learning and Physics in-person seminar and the Physics meets ML online seminar series.
Statistics Seminars
The Statistics Department hosts regular seminars on a variety of statistics-related topics.
Systems | Information | Learning | Optimization (SILO) Talks
The SILO research group hosts a weekly seminar that covers a variety of topics related to machine learning, optimization, and information theory. SILO breaks down the research “silos” created by academic department boundaries by providing time and space for researchers to present their work, interact, and find common threads.