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November 2025
Munich, Germany
This workshop is a joint initiative by the Data Ethics Group at LMU's Department of Statistics and the Munich Center for Machine Learning (MCML).
Directions
Directions
Arrival by public transport
Take subway trains U3 or U6 to stop "Universität" and take the exit "Schellingstraße". You will be at the intersection of Ludwigstraße and Schellingstraße.
Bus lines 153 and 154 as well as 58/68 also stop at the intersection Ludwigstraße/Schellingstraße.
For planning your trip, please use https://www.mvg.de/verbindungen.html and https://www.mvv-muenchen.de/en/index.html.
Arrival by car
Finding a (paid) parking space for your car on site is theoretically possible, but practically very unlikely. Park & Ride options are described here and here.
Room S 007 in Schellingstraße 3
The room is located on the ground floor. The entrance to the room is next to a big glass façade.
The room's location in the "LMU Roomfinder" can be found here.
The map below shows the building and room S 007 (yellow X), the main entrance (M) and side entrance (S) of the building, the exit "Schellingstraße" of subway station "Universität" (blue U) and local bus stops (red boxes).
#3 Data Ethics in Practice: The Ethical Data Initiative and Data Clinics as a Collaborative Teaching Format
Kim Hajek, Paul Trauttmansdorff (TUM, Ethical Data Initiative)
Abstract: We present the Ethical Data Initiative (EDI), a non-partisan platform that draws on the history, philosophy, and social studies of science to foster open discussions on all forms of data-work. One of our key educational activities is the ‘data clinic’, an interactive problem-solving and teaching format designed to bridge theory and practice in the realm of data governance and ethics. Clinics bring together small groups of TUM students from across a range of disciplines to collaborate with partner organisations on real-world ethical challenges and decision-making processes. The goal is to empower participants, both students and partners, with actionable insights to reflect and handle complex issues such as data privacy, discrimination, transparency, and accountability, and thus foster responsible cultures of data work. Most recently, the EDI team and TUM Masters students worked with the CERTA Foundation of Rwanda on issues around transparency and fairness in AI use by fintech providers across Africa.
Local food options
Local food options
You will find many cafés, restaurants, and to-go places nearby. Local veg options can be found on HappyCow.
For employees and students of LMU, TUM, and HM in particular: the StuBistroMensa Schellingstraße is exactly one floor above the workshop room. (Open 10 am to 2 pm. Don't forget to bring your ID card. Payment options are described here.)
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