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 effects of innovative digital technologies in the workplace, with a particular interest in the roles of artificial intelligence and data science in digital platform work and knowledge work. She examines how these technologies augment, automate, or monitor tasks. Additionally, she explores how technologies like Virtual Reality can support remote knowledge work. Kathrin is also interested in the organizational implementation of these technologies and their impact on employee well-being. Kathrin serves as Co-Editor in Chief of the International Journal of Workplace Health Management (IF=2.4) and is a member of the Editorial Board of Electronic Markets - The International Journal on Networked Businesses (IF=7.1). She is a Board member of the Scandinavian Academy of Industrial Engineering and Management (ScAIEM). In her teaching at DTU, she designed the master course “From Analytics to Action,” which addresses the challenges companies face when introducing and using AI and data science and how these challenges can be better understood and addressed. She is currently involved in the bachelor-level course “Innovation Pilot” and is designing a course on “Leadership with Data” for continuing education - discussing the role and adoption of AI and Big data in organizations. She supervises PhD students, as well as bachelor and master theses, on topics related to artificial intelligence, technology implementation, and hybrid work. Before joining DTU, Kathrin was a professor of information systems at the Berlin School of Economics and Law, where she taught business process management and data and process analytics. She also held a Postdoc position at the University Hospital Jena, Germany, where she participated in research projects on process intelligence and process mining in healthcare. She received her Ph.D. in Information Systems from Friedrich Schiller University Jena, Germany, with research focused on predictive maintenance using machine learning algorithms.