Kathrin Kirchner
Associate Professor
Department of Engineering Technology and Didactics
Lautrupvang 15
Building Ballerup Room A2.04
2750 Ballerup
Danmark
Artificial Intelligence Algorithmic Management Knowledge work Knowledge sharing Hybrid Work Virtual collaboration Digital platforms Digitalization
Kathrin Kirchner joined DTU in 2018 as an Associate Professor. Her research focuses on the transformative effect of innovative digital technologies in the workplace. Especially interesting is the role of artificial intelligence and data science, as it is used for digital platform work and knowledge work for augmenting, automating or monitoring tasks. Besides of AI, she is also looking at how technologies (e.g., Virtual Reality) can support knowledge work when working remotely. Furthermore, she is interested in how these technologies can be organizationally implemented, and how they influence the well-being of employees. Kathrin is Co-Editor in Chief of the International Journal of Workplace Health Management (IF=2.2) and a member of the Editorial Board of Electronic Markets - The International Journal on Networked Businesses (IF=8.5). In teaching, she designed the master course "From Analytics to Action" which focuses on challenges companies face when introducing and using AI/data science, and how these challenges can be better understood and addressed. She is currently involved in the course "Innovation Pilot" on bachelor level, and is designing a course on "Leadership with data". She is supervising PhD students, and bachelor and master theses around artificial intelligence, technology implementation and hybrid work. Before joining DTU, she was a Professor in Information Systems at the Berlin School of Economics and Law, where she taught topics like business process management, data and process analytics. Furthermore, she had a Postdoc position at the University Hospital Jena, Germany, where she was involved in research projects about process intelligence and process mining in healthcare. She received her Ph.D. in Information Systems from Friedrich Schiller University Jena, Germany, with research in predictive maintenance.