Professur für Informationsmanagement

Dr. Christoph Prinz

Research Fields and Interests


  • Machine Learning and Data Analytics in Digital Health
  • Design Science Research



Curriculum Vitae



Work Experience


  • Since 09/2024 CEO & Founder of DOCMAiTE - Transform Medical Document Processing
  • 06/2019 - 08/2024 Research Associate, Digital Health Research Group and Smart Mobility Research Group - Chair of Information Management, University of Goettingen
  • 11/2019 - 10/2022 Data Consultant, Business Engineering Institute St. Gallen AG
  • 04/2017 - 05/2019 Software Developer Microsoft Dynamics 365, Sycor GmbH Göttingen
  • 10/2015 - 10/2016 Software Developer Experimental Methods, German Aerospace Center (DLR) Göttingen
  • 09/2012 - 10/2015 Dual Study Programme Student, German Aerospace Center (DLR) Göttingen



Academic Experience


  • 05/2023 - 08/2024 Postdoctoral Research in Information Systems and Data Science, University of Goettingen, Germany
  • 06/2019 - 05/2023 Doctorate, Smart Mobility Research Group - Chair of Information Management, University of Goettingen, Germany
  • 10/2016 - 05/2019 Master of Science in Applied Computer Science, University of Goettingen, Germany
  • 10/2012 - 10/2015 Bachelor of Engineering in Computer Science, Cooperative State University Mannheim (DHBW), Germany



Projects



Publications



2024

  • Prinz, C.; Willnat, M.; Rampold, F.; Kolbe, L. (2024): Unconstraining Demand for Effective System Operation: The Case of Vehicle Relocation in Free-Floating E-Carsharing, Proceedings of the European Conference on Information Systems (ECIS), Paphos, Cyprus. [VHB 4: A]

  • Prinz, C.; Willnat, M.; Lembcke, T.-B.; Kolbe, L. (2024): Archetypes of Carsharing Relocation Algorithms: A Perspective on Problem Space, Solution Space and Evaluation, Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), Angers, France.

  • Willnat, M.; Kegel, F.; Prinz, C.; Kolbe, L. (2024): Transfer Penalties in Active Transport Last Mile Connections: Evidence from a Stated Choice Experiment, Book of Abstracts of International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), Angers, France.

  • Willnat, M.; Prinz, C.; Kolbe, L. (2024): Information System Design for Utility Service Fleet Operations: The Use of Pooled Vehicle Trajectory Data for Super-Additive Analytics, Book of Abstracts of International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), Angers, France.


    • 2023
  • Dissertation "Leverage Data Streams for Better Operational Decision-Making: The Case of Smart Sustainable Mobility Environments", ISBN 9783736978027, Available at Cuvillier Göttingen

    • 2022
  • Brendel, A.B.; Lichtenberg, S.; Morana, S.; Prinz, C.; Hillmann, B.M. (2022): Designing a Crowd-Based Relocation System - The Case of Car-Sharing. Sustainability [VHB: C]
  • Willnat, M.; Lembcke, T.-B.; Menck, J. H. D.; Kegel, F.; Prinz, C. (2022): Digital Map Complexity and Behavioral Consistency in Mobility Information Systems, Proceedings of the Americas Conference on Information Systems (AMCIS), Minneapolis, USA. [VHB 3: D] (forthcoming)
  • Prinz, C.; Hellmeier, M.; Willnat, M; Harnischmacher, C; Kolbe, L. (2022): Increasing the Business Value of Free-Floating Carsharing Fleets By Applying Machine Learning-based Relocations (ECIS 2022), Timisoara, Romania [VHB 3: B] (forthcoming)
  • Matschak, T.; Rampold, F.; Hellmeier, M.; Prinz, C.; Trang, S. (2022): Digitization Pipeline for Mixed-Typed Documents Using Machine Learning and Optical Character Recognition (DESRIST 2022), St. Petersburg, USA [VHB 3: C] (forthcoming)
  • Matschak, T.; Prinz, C.; Trang, S. (2022): A Taxonomy of Machine Learning-based Fraud Detection Systems (ECIS 2022), Timisoara, Romania [VHB 3: B] (forthcoming)
  • Matschak, T.; Prinz, C.; Rampold, F.; Trang, S. (2022): Show Me Your Claims and I'll Tell You Your Offenses: Machine Learning-Based Decision Support for Fraud Detection on Medical Claim Data. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 2022), Hawaii, USA (forthcoming) [VHB 3: C]

    • 2021
  • Willnat, M.; Lembcke, T.-B.; Harnischmacher, C.; Prinz, C.; Klumpp, M. (2021): How Far are You Gonna Go? Understanding Pedestrian Catchment Areas in Shared Mobility Systems, Proceedings of the International Conference on Information Systems (ICIS), Austin, USA. [VHB 3: A] (forthcoming)
  • Matschak, T.; Prinz, C.; Masuch, K.; Trang, S. (2021): Healthcare in Fraudster's Crosshairs: Designing, Implementing and Evaluating a Machine Learning Approach for Anomaly Detection on Medical Prescription Claim Data, Proceedings of the 25th Pacific Asia Conference on Information Systems (PACIS), Dubai, VAE [VHB 3: C]
  • Prinz, C.; Willnat, M.; Brendel, A. B.; Lichtenberg, S.; Kolbe, L. M. (2021): CASSI: Design of a Simulation Environment for Vehicle Relocation in Carsharing. In: AIS Transactions on Human-Computer Interaction (forthcoming).

    • 2020
  • Prinz, C.; Lichtenberg, S.; Willnat, M. (2020): CASSI: Design of a Simulation Environment for Vehicle Relocation in Carsharing, Proceedings of European Conference on Information Systems (ECIS), Marrakech, Morocco. [VHB 3: B]
  • Prinz, C.; Lichtenberg, S.; Brendel, A.B.; Herrenkind, B.; Kolbe, L.M. (2020): Adapting User-Based Vehicle Relocation for E-Carsharing. Proceedings of Internationale Tagung Wirtschaftsinformatik. [VHB 3: C]
  • Brendel, A.B.; Lichtenberg, S.; Prinz, C.; Herrenkind, B. (2020): Increasing the Value of Shared Vehicles: Insights from an Implementation of User-Based Relocation in Station-Based One-Way Carsharing, Sustainability [VHB: C]

    • Topics for Bachelor and Master thesis

    An overview of current topics can be found here.

    Application: If you are interested in writing your thesis about any topic relating to my research, please contact me via e-mail. Please also send me your CV and grade sheet from FlexNow (simple printout) in order to better match the precise topic to your area of interest.


    Teaching