The 2026 conference.
A half-day of talks, hands-on workshops, and networking with the Munich data science community, organized by a volunteer team from LMU's Social Data Science and AI Lab (SODA), Sixt, TUM, MDSI, and Pruna AI.
What to expect on the day.
Opening
Welcome and introductions, setting the theme for the day.
Keynote
Karin Schönwetter, VP of Sales, Kyndryl. See the speakers.
Coffee break
Interactive sessions
Parallel workshops in smaller groups. You choose one when you register. See the workshops.
Break with catering
Panel discussion
How AI agents are reshaping data science and technical roles. Voices from industry, academia, start-ups, and early-career researchers on what is changing, what stays the same, and which skills matter next.
Closing
Wrap-up and takeaways, followed by short pitches from our partners.
Open-ended networking
Informal networking with food and drinks, and a chance to meet our partners at their booths.
Speakers.
Keynote
Panel: How AI agents are reshaping data science and technical roles
Workshops.
All workshops run in parallel from 15:00 to 16:30, last 90 minutes and are held in English. You choose one when you register.
Workshop
Female Empowerment: Women Working, Researching, and Leading in the Age of AI
LMU Munich
TH Augsburg
Despite substantial efforts to promote diversity over recent decades, women remain underrepresented in leading positions across both academia and industry. In times where artificial intelligence is handled as one of the most influential drivers of innovation and future competitiveness, AI research, development, deployment, and use all continue to be predominantly male-dominated. This seminar provides a dedicated space for women to critically reflect on their role within these professional environments, explore leadership challenges and potentials, and engage in meaningful exchange amongst women working in related fields. Grounded in current research and psychological theory, the seminar acknowledges the structural and systemic barriers women continue to face while emphasizing practical strategies and allyship. Designed as a safe, interactive, and dialogue-oriented environment, it combines evidence-based input with self-reflection and peer exchange.
- Format: Interactive workshop with theoretical input
- Group size: Up to 25 participants
- Prerequisites: None
Franziska Schrade, M.Sc., is a researcher, trainer, and doctoral candidate at the LMU Center for Leadership and People Management. She studied psychology (B.Sc. and M.Sc.) at Heidelberg University, specializing in organizational behavior and adaptive cognition, with stays abroad at Arizona State University and the University of Vienna. She conducts research on human-AI interaction in the workplace and has been funded by the bidt Graduate Center for doctoral students since 2025.
Insa Schaffernak, M.Sc., is a researcher at the Technical University of Applied Sciences Augsburg and a doctoral candidate at the Doctoral Center “DigiTech”. She studied psychology (B.Sc. and M.Sc.) at the University of Freiburg, with stays abroad at the University of Wisconsin-Madison and the University of Innsbruck. Her PhD focuses on human factors in the adoption and use of AI in healthcare and has been funded by the bidt Graduate Center for doctoral students since 2025.
More workshops
To be announced
Further workshops from our partners will be added here soon.