School and Outreach Activities
MCML Brings Research Closer to People
Explore short video insights into the research of our MCML members on our YouTube Channel. PIs and Junior Researchers present their work, ideas, and perspectives on current developments in Artificial Intelligence and Machine Learning.
Young Talents & Schools
Important target groups of our outreach activities are young people and schools. We offer workshops and information events for both teachers and school children, with a special focus on the empowerment of girls.
Please contact us for further information.
KI Trans - Technology Transfer Into the Education System
Teachers at all levels are challenged to design learning environments that equip young people with the skills necessary to engage with artificial intelligence. The KITrans project (2024-2025) focused on cross-institutional cooperation to design a hybrid continuing education program for teachers. The program aimed to contribute to necessary educational system transformation processes. Through concrete examples, practical strategies, and participatory involvement, the project's results enable teachers to design forward-looking lessons.
The project was led by Uta Hauck-Thum, Chair of Primary Education and Didactics at LMU together with Junge Tüftler. The MCML supported the project by providing expertise in AI and further pedagogical training for our Junior Members.
Learn more about the freely available materials (in German):
Contact
Anna Maria Schneider
Science Manager School Collaborations, and PhD Coordinator
Our Outreach Activities
20.01.2026
MCML Supporting Girls in STEM
Encouraging Girls to Explore Science, Technology, and University Life
At the first GirlsLAB at TUM, female students from Bavarian partner schools explored STEM subjects through hands-on teamwork and creative problem-solving. While the students built chain-reaction …
23.12.2025
MCML: Supporting Teachers in the Use of AI in Education
Using AI Effectively in Teaching and Learning
Teachers need support to keep up with rapid technological change and to adapt teaching and learning to the demands of an increasingly digital world. While new technologies are widely available, they …
01.08.2025
MCML Hosts “AI and School in Dialogue”
How Can Schools Prepare the Next Generation for an AI-Driven World?
This week, the Munich Center for Machine Learning hosted the event „KI und Schule im Dialog – Forschung, Bildungspolitik und Unterrichtspraxis” (AI and school in dialogue - research, education policy …
30.01.2025
Students Discover AI Research With MCML at the Bavarian State Ministry
“Lernort Staatsregierung” a Recap
The Bavarian State Center for Political Education again hosted “Lernort Staatregierung", a program at the Bavarian State Ministries and the State Chancellery in Munich, as well as at the offices of …
22.01.2024
The MCML-Exhibition at Deutsches Museum Munich
Our Exhibition Was a Great Success - A Short Recap
The Science Communication Lab at Deutsches Museum hosted our MCML exhibition that attracted thousands of visitors over three weeks. The exhibition featured interactive exhibits on machine learning, …
©MCML
20.12.2023
Explore the MCML-Exhibition: Kann KI Sehen Lernen?
20.12.2023-10.01.2024 at Deutsches Museum Munich
Explore our MCML-Exhibition at Deutsches Museum Munich. The exhibition offers an insight into current research on Artificial Intelligence, with a focus on the field of Computer Vision. We look forward …
17.12.2023
MCML at Wissenschaft Für Jedermann
The Lectures at a Glance
As part of the Deutsches Museum’s “Wissenschaft für Jedermann” series, our Director Daniel Cremers, our researcher Julia Moosbauer and our PI Matthias Nießner gave talks on the topic …
18.04.2023
27.04.2023: Welcoming Young IT-Talents at This Year’s Girls' Day
A Day at the University With Female Researchers From MCML
The MCML partnered up with Women in AI & Robotics to invite young and motivated talents to this year’s Girls’ Day at LMU. 12 preselected female talents will have the opportunity to dive into …
Learn More About Our Transfer Activities
2024-10-13 - Last modified: 2026-01-20