Technology transfer

Technology transfer is an integral part of research at the Chair of Information Management and Information Systems. It results directly from the application-oriented design of data- and AI-supported information systems in organizations. The aim is to transfer scientifically sound concepts into real organizational contexts and systematically test them there.

A central principle is the early and continuous involvement of practical partners from business and administration in the research process. In this way, organizational framework conditions and usage contexts are already taken into account at the conception stage and the transferability of the research results is strengthened. Methodologically, technology transfer takes place in particular through the design, implementation and evaluation of prototypes and demonstrators, which serve as scientific artifacts for testing design assumptions, architectures and interdependencies under real operating conditions.

This approach is implemented primarily in real-world laboratory and collaborative projects, including the CRAI, in the Green-AI Hub and in the initiative YouCodeGirls. In these contexts, AI-based information systems are developed, tested and evaluated together with companies and other stakeholders. In addition to technical issues, organizational, regulatory and didactic aspects are also systematically taken into account.