Collaboration
We are interested in three forms of collaborations:
- Internal collaborations
- Academic collaborations
- Industry collaborations
Internal collaboration
We collaborate with internal initiatives across TUM to encourage interdisciplinary exchange and spark new ideas.
TUM-XR is Europe’s leading XR student initiative dedicated to shaping the future of human–machine interaction.
Point of contact: Mohamed Mansuri (mohamed.mansuri@tum-xr.com)
We collaborate with internal initiatives across TUM to encourage interdisciplinary exchange and spark new ideas.
Selected academic collaboration
We collaborate with our research partners from the United States, Europe, and Asia. Among others,
- Chair of Technology Marketing, ETH Zurich
- University of Maastricht
- University of Michigan
- Yonsei University
- University of St. Gallen
- Santa Clara University
- many more
Industry collaboration
We seek collaboration with industry partners and welcome joint projects that bridge academic research and real-world challenges. Our work focuses on marketing, management, and technology-driven questions, with particular interest in data-enabled decision-making, digital innovation, customer experience, and AI-related applications. We are open to a variety of collaboration formats, including research partnerships, field studies, pilot projects, workshops, and knowledge transfer initiatives.
Pease directly contact Prof. Dr. David Finken (david.finken@tum.de) if you are interested in.
The Swiss Insurance Monitor is an annual, science-based study led by ETH Zurich in collaboration with TUM, the University of St. Gallen, and industry partners. It is based on a representative survey of the Swiss population and provides reliable insights into market trends, customer behavior, and key developments in the insurance industry.
The study focuses on topics such as premium perception, digitalization, customer journey, service preferences, and the role of AI. The Swiss Insurance Monitor connects research and industry and offers insurers clear, data-based insights to support decision-making.
For further information or questions, please contact justin.eymann@mtec.ethz.ch.
