Professer of Machine Learning and Uncertainty Quantification
Tel.: +49 941 943-68506
Wednesday, 11:00 a.m. - 12:00 p.m.
Please register in advance via the secretariat
Daniel Schnurr holds the Chair of Machine Learning and Uncertainty Quantification at the University of Regensburg. Previously, he was head of the research group Data Policies at the University of Passau. He received his Ph.D. in Information Systems from the Karlsruhe Institute of Technology in 2016, where he previously studied Information Engineering and Management (B.Sc. & M.Sc.). He was a visiting student at the Singapore Management University and the John Molson School of Business at Concordia University in Montreal, Canada. Daniel Schnurr has worked as a research associate at the Chair of Information & Market Engineering at the Karlsruhe Institute of Technology and has been a post-doctoral researcher at the Chair of Internet and Telecommunications Business at the University of Passau.
In his research, Daniel Schnurr addresses the technical, economic, and societal implications of new machine learning methods and data as a crucial competitive factor and driver of innovation in digital markets. Daniel Schnurr has published in leading scholarly journals on Information Systems and Economics, such as Management Science, Journal of Information Technology, Journal of Industrial Economics, Business and Information Systems Engineering, Information Economics and Policy, Journal of Competition Law and Economics, and Telecommunications Policy. He regularly serves as an organizer of international conferences and is a frequent reviewer for scholarly journals and funding organizations.
Since 2022 he is also a Research Fellow of the Centre on Regulation in Europe (CERRE), a Brussels-based think tank. In this role, he has contributed to several policy reports on the regulation of digital markets and the data economy.
Fast, V., Schnurr, D., & Wohlfarth, M. (2023).
Regulation of Data-driven Market Power in the Digital Economy: Business Value Creation and Competitive Advantages from Big Data. Journal of Information Technology, 38(2), 202–229.
[VHB: A; ABS: Grade 4]
Krämer, J., & Schnurr, D. (2022).
Big Data and Digital Markets Contestability: Theory of Harm and Data Access Remedies. Journal of Competition Law & Economics, 18(2), 255–322.
Krämer, J., Schnurr, D., & Wohlfarth, M. (2019).
Winners, Losers, and Facebook: The Role of Social Logins in the Online Advertising Ecosystem.
Management Science, 65(4), 1678-1699.
[VHB: A+; ABS: Grade 4*; FT50]
Horstmann, N., Krämer, J., & Schnurr, D. (2018).
Number Effects and Tacit Collusion in Experimental Oligopolies.
Journal of Industrial Economics, 66(3), 650-700.
[VHB: A; ABS: Grade 3]
Krämer, J., & Schnurr, D. (2018).
Margin Squeeze Regulation and Infrastructure Competition.
Information Economics and Policy, 45, 30-46.
[ABS: Grade 2]
Krämer, J., & Schnurr, D. (2018).
Is There a Need for Platform Neutrality Regulation in the EU?
Telecommunications Policy, 42(7), 514-529.
[VHB: C; ABS: Grade 1]
Krämer, J., & Schnurr, D. (2014).
A Unified Framework for Open Access Regulation of Telecommunications Infrastructure: Review of the Economic Literature and Policy Guidelines.
Telecommunications Policy, 38(11), 1160-1179.
[VHB: C; ABS: Grade 1]
Krämer, J., Schnurr, D., & Wohlfarth, M. (2018).
Trapped in the Data-Sharing Dilemma.
MIT Sloan Management Review, 60(2), 22-23. [Article]
[VHB: C; ABS: Grade 3; FT50]
Krämer, J., & Schnurr, D. (2016).
Microeconomically Founded Information Systems Research.
In Bichler, M., & Frank, U. (Eds.), Theories in Business and Information Systems Engineering. Business & Information Systems Engineering, 58(4), 291-319.
[VHB: B; ABS: Grade 2]
Sachs, N. & Schnurr, D. (2022).
Privacy Risks in Digital Markets: The Impact of Ambiguity Attitudes on Transparency Choices. 43rd International Conference on Information Systems (ICIS 2022) Kopenhagen, Dänemark.
Schauer, A. & Schnurr, D. (2022).
Competition Between Human and Artificial Intelligence in Digital Markets: An Experimental Analysis. 43rd International Conference on Information Systems (ICIS 2022). Kopenhagen, Dänemark.
Fast, V., & Schnurr, D. (2021).
Incentivising the Adoption of COVID-19 Contact-Tracing Apps: A Randomised Controlled Online Experiment on the German Corona-Warn-App.
Proceedings of the ACM SIGMIS Computers and People Research Conference (CPR 2021). Virtuelle Konferenz.
Fast, V., Schnurr, D., & Wohlfarth, M. (2021).
Data-driven Competitive Advantages in Digital Markets: An Overview of Data Value and Facilitating Factors.
16th International Conference on Wirtschaftsinformatik (WI 2021). Duisburg-Essen, Deutschland (Virtuelle Konferenz).
Fast, V., & Schnurr, D. (2020).
The Value of Personal Data: An Experimental Analysis of Data Types and Personal Antecedents. Proceedings of the 41st International Conference on Information Systems (ICIS 2020). Hyderabad, India (Virtuelle Konferenz). [Article]
Haberer, B., & Schnurr, D. (2018).
An Economic Analysis of Data Portability and Personal Data Markets. Proceedings of the 39th International Conference on Information Systems (ICIS 2018). San Francisco, USA. [Article]
Schnurr, D. (2023).
Global Data Economics: Principles, Strategies and Policies. In (Hennemann, M.), Global Data Strategies - A Handbook, C.H.BECK Verlag. [Link]
Fast, V., Schnurr, D., & Wohlfarth, M. (2019).
Marktmacht durch Daten: Eine Analyse aus ökonomischer Perspektive. In (Specht, L., Werry, N. & Werry, S.), Datenrecht in der Digitalisierung, Erich Schmidt Verlag. [Link]
Schnurr, D. (2016).
Open Access to Telecommunications Infrastructure and Digital Services: Competition, Cooperation and Regulation. doi:10.5445/IR/1000061756
Broughton Micova, S., Krämer, J., & Schnurr, D. (2020).
The Role of Data for Digital Markets Contestability: Case Studies and Data Access Remedies. Centre on Regulation in Europe (CERRE) Policy Report, 09/2020. [Link]
Krämer, J., Schnurr, D., de Streel, A. (2017).
Internet Platforms and Non-Discrimination. Centre on Regulation in Europe (CERRE) Policy Report, 12/2017. [Link]
VHB: Ranking nach VHB-JOURQUAL 3
ABS: Association of Business Schools Academic Journal Quality Guide June 2021
FT50: Financial Times Top 50 Journals used in FT Business School Research Ranking (2018)