Prof. Dr. Daniel Schnurr

Professer of Machine Learning and Uncertainty Quantification

Tel.: +49 941 943-68506
Email:?daniel.schnurr@ur.de

Room 513
Bajuwarenstra?e 4
93053 Regensburg
Germany

Consultation Hour:

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Daniel Schnurr is a professor of information systems and holds the Chair of Machine Learning and Uncertainty Quantification at the University of Regensburg. Previously, he led the Data Policies research group?at the University of Passau. He received his?Ph.D.?in Information Systems from the Karlsruhe Institute of Technology in 2016, where he also completed his B.Sc. and M.Sc. in Information Engineering and Management. 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 served as a research associate at the Chair of Information & Market Engineering at the Karlsruhe Institute of Technology and as a post-doctoral researcher at the Chair of Internet and Telecommunications Business at the University of Passau.

His research explores 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 academic journals and funding organizations.

Since 2022 Daniel Schnurr has also been a Research Fellow of the Centre at Regulation in Europe (CERRE), a Brussels-based think tank.?In this role, he has contributed to several policy reports on the regulation of cloud computing, digital platforms and the data economy.

Refereed journal articles

Fast, V. & Schnurr, D. (2024).
Data Donations for Digital Contact Tracing: Short- and Long-Term Effects of Monetary Incentives. Information Systems Research. Forthcoming. [Preprint]
[VHB: A+; ABS: Grade 4*; FT50]?

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.
doi:10.1177/02683962221114394?[Preprint]
[VHB: A;?ABS: Grade 4]

Kr?mer, 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.
doi:10.1093/joclec/nhab015?[Preprint]

Kr?mer, 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.
doi:10.1287/mnsc.2017.3012?[Article]
[VHB: A+; ABS: Grade 4*; FT50]?

Horstmann, N., Kr?mer, J., & Schnurr, D. (2018).
Number Effects and Tacit Collusion in Experimental Oligopolies.
Journal of Industrial Economics, 66(3),?650-700.
doi:10.1111/joie.12181
[VHB: A; ABS: Grade 3]

Kr?mer, J., & Schnurr, D. (2018).
Margin Squeeze Regulation and Infrastructure Competition.?
Information Economics and Policy, 45, 30-46.
doi:10.1016/j.infoecopol.2018.09.001
[ABS: Grade 2]

Kr?mer, J., & Schnurr, D. (2018).
Is There a Need for Platform Neutrality Regulation in the EU??
Telecommunications Policy,?42(7), 514-529.
doi:10.1016/j.telpol.2018.06.004
[VHB: C; ABS: Grade 1]

Kr?mer, 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.
doi:10.1016/j.telpol.2014.06.006
[VHB: C; ABS: Grade 1]
?

Invited journal articles

Schauer, A., & Schnurr, D. (2023)
Data Brokers: Intermediaries for More Efficient Data Markets?
TechREG Chronicle, October 2023, 1-9 [Article]

Kr?mer, 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]

Kr?mer, J., & Schnurr, D. (2016).
Microeconomically Founded Information Systems Research.
In Bichler, M., & Frank, U. (Ed