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.
In his chapter “European Data Regulation: Between Data Protection and Free Flow of Data in a Global Digital Economy” of the newly published book “Regulatory Competition in the Digital Economy”, Daniel Schnurr examines the implications of European data regulation. More...
The issue paper “Effective Implementation of Requirements for High-Risk AI Systems Under the AI Act” by Daniel Schnurr analyzes the AI Act’s requirements for transparency and appropriate accuracy of high-risk AI systems and provides recommendations for their technical implementation. More...
On February 4, 2025, CERRE Research Fellows Pierre Larouche and Daniel Schnurr will present their research online (13:30-14:45) on the key institutional, procedural, and technical issues underlying the effective implementation of the AI Act. More information...
At the International Conference on Information Systems (ICIS) in Bangkok, Andreas Schauer presented his paper ‘In the Eyes of the User: A Systematic Literature Review of User Perceptions in Human-XAI Interaction’. The project was funded by the Schöller Research Centre. The ICIS is regarded as the world's most important conference in the field of information systems and this year's theme was ‘Digital Platforms for Emerging Societies’. More...
The paper "Data Donations for Digital Contact Tracing: Short- and Long-Term Effects of Monetary Incentives" by Victoria Fast and Daniel Schnurr has been accepted for publication at the journal Information Systems Research.
Daniel Schnurr has been selected to participate in the drafting process of the General Purpose AI (GPAI) Code of Practice by the AI Office of the European Commission. The Code of Practice will detail the AI Act rules for providers GPAI models and GPAI models with systemic risks. More...
The recommendations resulting from the report by Sally Broughton Micova, Daniel Schnurr, Andrea Calef and Bryn Enstone set out a research agenda for the European Commission and the Digital Services Board (DSB) as well as academics and other relevant stakeholders to contribute directly to the assessment of systemic risk in practice and to broader debates on the governance of digital services. More...
At this year's European Conference on Information Systems, Daniel Schnurr presented at the workshop "Regulation, Governance and Digital Responsibility: Research Frontiers" on the topic of "Regulating data-driven market power in the digital economy". More...
At this year's Data Donations Symposium, Philipp Hartl presented on the topic "Yet Another Privacy Paradox? Stated intention and actual willingness for data donations". He also contributed to the presentation by Leonie Manzke (FAU) on "Understanding the Potential of Data Donations: Evaluating Platform Compliance for Impactful Insights". More...
The Electronic Markets Journal announced that Daniel Schnurr will contribute to the Call for Papers Special Issue on "Regulatory Competition and Global Governance in Digital Markets" as Guest Editor. More...
In the recently published CERRE Report "Systemic Risk in digital Services: Benchmarks for Evaluating the Management of Risks to electoral Processes", Sally Broughton Micova and Daniel Schnurr, propose benchmarks and a framework for evaluating the negative impact on electoral processes that VLOP and VLOSE providers should mitigate.
On March 22, experts from the fields of law, computer science and economics discussed various issues relating to AI regulations and AI regulation at the "Regulatory Competition in the Digital Economy" conference at Lingnerschloss Dresden. Daniel Schnurr spoke on the topic of "Regulatory Competition in the Data Economy".
Andreas Schauer presented the research paper on "Competition and Collaboration between Human and Artificial Intelligence in Digital Markets" at this year's Digital Economy Workshop.
At the University of East Anglia in Norwich, Daniel Schnurr gave a lecture at the Centre for Policy Reasearch Seminar on "Competition and Collaboration between Human and Artificial Intelligence".
On February 22, 2024 Daniel Schnurr (UR) and Antonio Manganelli (LUMSA University) presented in Brussels their recently published CERRE Report "Competition and Regulation of Cloud Computing Services: Economic Analysis and Review of EU Policies". More...
In the report "Competition and Regulation of Cloud Computing Services: Economic Analysis and Review of EU Policies", Daniel Schnurr and Antonio Manganelli provide an overview and assessment of recent policy initiatives and legislation in the EU with a particular focus on potential competition issues.
At this year's Workshop on Information Systems and Economics, Andreas Schauer presented the joint research paper (with Prof. Dr. Daniel Schnurr) on "Competition and Collaboration between Human and Artificial Intelligence".
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.
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.
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
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).
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.
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?"
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."
We are currently looking for student assistants to support us in research and teaching.
If you are studying at the University of Regensburg and are interested in working with us at the chair, please contact Andreas Schauer directly by e-mail.
Daniel Schnurr - 18.03.2025 16:13
+49 941 943-68508
[email protected]