Events Calendar
- April
- April 23
- April 28Text Analysis WorkshopPractical introduction to text analysis, designed for those with Python experience9:00 AM
- April 29Text Analysis WorkshopPractical introduction to text analysis, designed for those with Python experience9:00 AM
- April 30Text Analysis WorkshopPractical introduction to text analysis, designed for those with Python experience9:00 AM
- April 30How to Support Children in Developing Sociocritical AI LiteraciesVanderbilt University's Golnaz Arastoopour Irgens, asst professor of human-centered technologies 1:30 PM, 159 (Wisconsin Idea), Education Building
- April 30
- May
- May 2Geospatial Data Science Speaker Series: Dr. Gengchen MaiSpatial Representation Learning: What, How, and Why2:00 PM, 175 Science Hall
- May 8Geospatial Data Science Speaker Series: Dr. Yuhao KangHuman-centered GeoAI in the era of Generative AI: Perceptions and Creativity12:00 PM, 175 Science Hall
- May 19Intro to Deep Learning with KerasHands-on introduction to the first steps in deep learning9:00 AM, Orchard View Room, Discovery Building
- May 20Intro to Deep Learning with KerasHands-on introduction to the first steps in deep learning9:00 AM, Orchard View Room, Discovery Building
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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 Lunch Meetings
At these weekly meetings, faculty members from Computer Science, Statistics, Electrical and Computer Engineering, and other departments discuss their latest research in machine learning. This is an opportunity to network with faculty and fellow researchers while learning about cutting-edge research at UW–Madison.
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.