On December 11, 2026, the Women in Data Science (WiDS) Munich event returns - bringing together inspiring voices and cutting-edge insights from the world of data science. This dynamic half-day event, part of the global WiDS Worldwide initiative from Stanford University, celebrates the brilliance and diversity of women in the field. The event is organized once again by the Ludwig-Maximilians-University Munich (LMU), the Technical University of Munich (TUM), as well as Pruna AI, and Sixt, associated with the WiDS worldwide non-profit organization. We’re thrilled to once again partner with the Bavarian Broadcasting Corporation (BR) who host the event at BR’s headquarters in Munich.
We’re expecting around 140 guests from industry, media, and academia - fostering an exciting mix of perspectives and experiences.
What can you look forward to?
A rich lineup of talks covering everything from AI in social contexts, evidence-based communication, and the importance of uncertainty in machine learning, to navigating your first steps in a data science career. The breadth of topics is no coincidence—it reflects the inclusive and interdisciplinary spirit of both the Stanford-led global movement and our local Munich community.
Date: December 11, 2026, 2 - 7 pm
Location: Ludwig-Maximilians Universität, Geschwister-Scholl-Platz 1, 80539 München
Agenda:
The detailed agenda can be found here: Women in Data Science I Munich - Agenda 2026
Registration:
Registration will open soon!
Whether you're a student, researcher, industry professional, or simply curious about data science, WiDS Munich promises insight, inspiration, and meaningful connection by featuring outstanding women doing outstanding work. All genders are welcome to join the conference! We can’t wait to see you there!
WiDS worldwide
WiDS worldwide holds an annual conference at Stanford University and an estimated 150+ locations worldwide. This conference provides an opportunity for folks in the Munich community to learn about and celebrate the accomplishments of women applying data science in a variety of domains.
Save the date, and we look forward to seeing you there! All genders are invited!
