The Hertie Institute for Artificial Intelligence in Brain Health (Hertie AI) is a unique research institution within the medical faculty of the University of Tübingen. Using artificial intelligence methods, the institute focuses on early—ideally pre-symptomatic—diagnosis and prevention of neurological diseases. Hertie AI is part of the Cyber Valley ecosystem and collaborates closely with the Tübingen AI Center and the Cluster of Excellence “Machine Learning – New Perspectives for Science.”
As a newly established institute, Hertie AI required a modern, scientifically sophisticated website capable of representing the complexity of its interdisciplinary research. The platform had to display the relationships between departments, research groups, staff members and publications in an intelligent way—without redundant data entry and with maximum flexibility for future growth.
We developed a cohesive corporate design for the institute and translated it consistently into the website experience:
The technical implementation was carried out using TYPO3 as the content management system. The core of the project was the development of an intelligent relational data architecture:
This relational structure enables, for example:
The hertie.ai website presents the institute professionally while making its complex research structures transparent and accessible. Thanks to the intelligent TYPO3 architecture, the Hertie AI team can manage content efficiently without having to worry about technical dependencies.
The solution translates the scientific excellence of the institute into a clear digital presence: a modern design paired with a thoughtful technical infrastructure that scales as the institute grows. New staff, publications and research groups can be added seamlessly—connections are created automatically.
Notably, the platform’s scalability positions Hertie AI perfectly for the future: as one of the first institutes within the emerging Center for Digital Health, it is equipped for continued expansion. The website achieves the ideal balance between scientific precision and digital accessibility.