Chair of Machine Learning and Uncertainty Quantification

Welcome to the Chair of Machine Learning and Uncertainty Quantification at the Faculty of Informatics and Data Science of the University of Regensburg.

The chair is dedicated to the analysis of data as a central resource for machine learning applications and as a decisice competitive factor and innovation driver in digital markets. Research focuses on the economic effects of AI-based systems, the strategic implications of data-driven business models, the interaction between humans and AI, the explainability and acceptance of machine learning methods, empirical data protection issues and the technical and economic regulation of artificial intelligence. The measurement of uncertainty and its impact on machine learning methods are of central importance in these reserach fields.

News

Kick-Off-Workshop to DataDonations4SustainableChange

As part of the bidt research project "DataDonations4SustainableChange", the project team around Prof. Daniel Schnurr (UR), Dr. Jörg Haßler (LMU) & Prof. Verena Tiefenbeck (FAU) will welcome the participants to the kick-off event in Munich on 24.11.2023.

Publication in the CPI TechREG Chronicle

Prof Dr. Daniel Schnurr and Andreas Schauer have published an article on data brokers for the October issue of the CPI TechREG Chronicle. The article highlights the challenges for data markets and data brokers that arise from the special characteristics of data as an economic asset.

Presentation on "Regulation of Artificial Intelligence"

Prof. Dr. Daniel Schnurr was invited to give a a joint presentation with Prof. Dr. Thomas Setzer (KU) on "Regulation of Artificial Intelligence" at this year's Ignaz Kögler Research Summer Camp "Bridging Sustainability & Digital Transformation" at the Catholic University of Eichstätt-Ingolstadt

Keynote on "Harms and Risks from Data Collection and Analysis"

Daniel Schnurr was invited to give a keynote presentation on September 6 in the "Virtual Series on Policies and Tools for Improving Digital Economy and Competition in Digital Markets: Current Issues" organized by Mexico and the Asia-Pacific Economic Cooperation Forum (APEC).

Handbook "Global Data Strategies" published

The interdisciplinary handbook "Global Data Strategies" highlights different data strategies and their implications. In the chapter "Global Data Economics: Principles, Strategies and Policies", Daniel Schnurr discusses the dual policy challenge of data concentration and data fragmentation.

How to build a Single Data Market?

As part of a panel at the EU Digital Summit on June 21, 2023, Daniel Schnurr and other international experts will discuss the question "How to build a Single Data Market?"

Lecture at the Bentham House Conference 2023, London

Daniel Schnurr presented his paper at this year's Bentham House Conference on "Competition Law and Policy in a Data-Driven Economy" on "Data Access Remedies: Regulatory Approaches, Economic Trade-Offs and Information Technology Design."

BEREC-Workshop zu "Switching & Interoperability of Data Processing Services"

Daniel Schnurr was invited as a scientific expert to present the results of the CERRE report "Switching and Interoperability Between Data Processing Services in the Proposed Data Act" at the workshop of the European regulators BEREC.

‹ ›

Open Positions

We are currently looking for student and research assistants to support us in research and teaching. If you are studying at the University of Regensburg and are interested in joining our team, please contact Andreas Schauer directly by e-mail.

In addition, we regularly have open PhD positions. We welcome applications by e-mail (including the ususal documents) to sekretariat.schnurr@ur.de.