Prof. Dr. Daniel Schnurr

Professor für Maschinelles Lernen, insbes. Uncertainty Quantification, Universität Regensburg

Leiter Nachwuchsforschungsgruppe Data Neutrality & Open Access

Publikationen

  • Schnurr, Daniel (2023)

    Global Data Economics: Principles, Strategies and Policies

    Beitrag in ...
    ISBN: 9783406782947
  • Schauer, Andreas; Schnurr, Daniel (2022)

    Competition between Human and Artificial Intelligence in Digital Markets: An Experimental Analysis

    Zeitschriftenaufsatz
    Projekt: NWG-Data Neutrality
  • Krämer, Jan; Schnurr, Daniel (2022)

    Big Data and Digital Markets Contestability; Theory of Harm and Data Access Remedies

    Zeitschriftenaufsatz
    Projekt: NWG-Data Neutrality
  • Fast, Victoria; Schnurr, Daniel; Wohlfarth, Michael (2022)

    Regulation of Data-driven Market Power in the Digital Economy: Business Value Creation and Competitive Advantages from Big Data

    Zeitschriftenaufsatz
    Projekt: NWG-Data Neutrality
  • Haberer, Bastian; Schnurr, Daniel (2020)

    Open Government Data for Digital Services: Effects on Innovation, Competition and Societal Benefits

    Zeitschriftenaufsatz
    Projekt: NWG-Data Neutrality
  • Haberer, Bastian; Kraemer, Jan; Schnurr, Daniel (2020)

    Standing on the Shoulders of Web Giants: The Economic Effects of Personal Data Brokers

    Zeitschriftenaufsatz