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INSPIRATION. KNOWLEDGE TRANSFER.

Economists | Mathematicians | Speakers

Prof. Dr. Alicia von Schenk

Alicia von Schenk wurde 2022 mit 26 Jahren zur Juniorprofessorin (Tenure-Track) für Angewandte Mikroökonomie, insbesondere Mensch-Maschine-Interaktion, an der Julius-Maximilians-Universität Würzburg ernannt. Nach einem Vollstudium der Mathematik sowie der Wirtschaftswissenschaften promovierte sie 2021 an der Goethe-Universität Frankfurt und war anschließend als Postdoktorandin am Zentrum für Mensch und Maschine (Max-Planck-Institut) in Berlin tätig. Ihre Forschung verbindet Verhaltens- und Organisationsökonomik sowie experimentelle Methoden mit aktuellen, gesellschaftlich relevanten Themen wie Technologieakzeptanz und dem Einfluss von Algorithmen auf Präferenzen und Entscheidungen. 2023 zählte Capital sie zu den Top 40 unter 40 in Wissenschaft und Gesellschaft, 2024 die WirtschaftsWoche zu den Top 30 bis 2030.

Prof. Dr. Victor Klockmann

Victor Klockmann is Junior Professor of Microeconomics, esp. Economics of Digitalization, at the Julius-Maximilians-Universität Würzburg. Previously, he was a postdoctoral researcher at the Center for Humans and Machines at the Max Planck Institute for Human Development in Berlin, where he is still affiliated as an Associate Research Scientist. His research interests include organizational economics, behavioral economics, artificial intelligence and theoretical and applied game theory. He completed his doctorate in economics (Dr. rer. pol.) at Goethe University Frankfurt with a dissertation on “Human Biases and the Economics of New Technologies”. He holds a master's degree in quantitative economics as well as bachelor's and master's degrees in mathematics.

Keynotes, (Short) Talks

We offer inspiring presentations on a variety of topics - in either German or English. You will find examples below. We are happy to consider individual requests and adapt our presentations to your target group or related topics.

Whether you are a public institution, ministry, school or company - our lectures are tailored to your needs. They combine scientific depth with a clear, accessible presentation, providing valuable insights that are both academically sound and practically relevant.

A behavioral economic perspective on AI

  • Human-machine interaction
  • Decision-making with technology support
  • Technology acceptance vs. aversion
  • Bias and fairness in AI systems
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Artificial intelligence: Economic and social implications for the future

  • Concept: Machine learning
  • Opportunities and risks of using AI
  • Acceptance of AI systems
  • Structural transformation in the workplace

The path into academia

  • Pathways to an academic career
  • Strategies and challenges
  • Research, teaching, networks
  • Work-life balance in academia
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Contact

Talks are possible from 2025 onwards!

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