Universität Regensburg
Daniel Schnurr
Anschrift:
Herr Prof. Dr. Daniel Schnurr
Universität Regensburg
Fakultät für Informatik und Data Science
Lehrstuhl für Maschinelles Lernen, insbes. Uncertainty Quantification
Universität Regensburg
Fakultät für Informatik und Data Science
Lehrstuhl für Maschinelles Lernen, insbes. Uncertainty Quantification
Ort:
93040 Regensburg
Tel.:
0941 943-68508
E-Mail:
Leistungsprofil:
Praxisrelevante Forschungsgebiete:- AI-based Information Systems: Data Access and Data-driven Business Models
- Strategic Machine Learning Systems: Competition and Cooperation with Artificial Intelligence
- Explainable AI: Technologies, Consumer Behavior and Business Value
- Fair AI Policies: Regulatory Rules and Information Technology Design
Praxisrelevante aktuelle Projekte:
- Datenspenden und Digitale Nudges für Nachhaltige Verhaltensänderungen (DataDonations4SustainableChange)
- Data Neutrality & Open Access: Coherent Economic Policies for the Digital Economy
Publikationen:
- 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. https://ssrn.com/abstract=4139527
- 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. https://ssrn.com/abstract=3987945
- Fast, V., Schnurr, D., & Wohlfarth, M. (2022). Regulation of Data-driven Market Power in the Digital Economy: Business Value Creation and Competitive Advantages from Big Data. Journal of Information Technology, im Erscheinen. https://ssrn.com/abstract=3759664
- Fast, V., & Schnurr, D. (2022). Data Donations for Digital Contact-Tracing: Short-and Long-term Effects of Monetary Incentives. Conference on Information Systems and Technology 2021 (CIST). Newport Beach, USA. https://ssrn.com/abstract=3786245
- Haberer, B., Kraemer, J., & Schnurr, D. (2022). Do Consumers Benefit from Selling their Data? The Economic Effects of Personal Data Brokers in Digital Markets. https://ssrn.com/abstract=3141946
- Schnurr, D. (2022). Switching and Interoperability Between Data Processing Services in the Proposed Data Act. Research report prepared for the Centre on Regulation in Europe (CERRE). https://cerre.eu/publications/switching-and-interoperability-between-data-processing-services-in-the-proposed-data-act/
- Krämer, J., Schnurr, D. & Broughton Micova, S. (2020). The Role of Data for Digital Markets Contestability: Case studies and Data Acess Remedies. Research report prepared for the Centre on Regulation in Europe (CERRE). https://cerre.eu/publications/data-digital-markets-contestability-case-studies-and-data-access-remedies/
- 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. https://doi.org/10.1287/mnsc.2017.3012
Kooperationsangebot für die Wirtschaft / Praxis:
Bevorzugte Form der Kooperation:
- Beratung
- FuE
- Bachelor-/Master-/Diplomarbeit
- Doktorarbeit
- Bildung
Bestehende Kooperationen:
Mit Hochschulen:
FAU Erlangen-Nürnberg
Konsortialprojekt DataDonations4SustainableChange
2023-2026
LMU Münchhen
Konsortialprojekt DataDonations4SustainableChange
2023-2026
Mit anderen Institutionen:
Bayerisches Forschungsinstitut für Digitale Transformation
Forschungsprojekt DataDonations4SustainableChange
2023-2026
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