The research cluster with over 20 institutes from material science, mechanical engineering, computer science, and social sciences addresses research challenges in the context of Industry 4.0. It has the vision to enable cross-domain collaboration by providing semantically adequate and context-aware data and decision support from production, development and usage in real-time on an appropriate level of granularity. The central scientific approach is the introduction of Digital Shadows as purpose-driven, aggregated, multi-perspective and persistent datasets.
I have multiple roles in this project:
First, I am leading one of the largest workstreams (A.III, 12 positions) which focusses on the design and development data-to-knowledge and knowledge-to-data pipelines that make data from production data and algorithmic support systems actionable to the user and that capture the users’ knowledge and expertise to provide better recommendations in the future.
Second, I study the broader implications of the digital transformation in production, ethics, and the requirements from the employees’ perspective.
Third, I am part of the graduate school that offers teachings on interdisciplinary collaboration and communication.
Furthermore, I am counseling the managing director as part of the core team. I contributed to the proposal especially regarding the design of socio-technical systems and human factors research, as well as on interdisciplinary collaboration management across the project.