Economists | Mathematicians | Speakers

Prof. Dr. Alicia von Schenk

Alicia von Schenk was appointed Junior Professor (tenure-track) of Applied Microeconomics, esp. Human-Machine Interaction, at the Julius-Maximilians-Universität Würzburg in 2022 at the age of 26. After completing a full degree in mathematics and economics, she received her doctorate from Goethe University Frankfurt in 2021 and then worked as a postdoctoral researcher at the Center for Humans and Machines (Max Planck Institute) in Berlin. Her research combines behavioral and organizational economics as well as experimental methods and causal inference with current, socially relevant topics such as technology acceptance and the influence of algorithms on preferences and decisions. In 2023, the business magazine Capital ranked her among the top 40 under 40 for Germany in the category science and society. 

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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Talks are possible from 2025 onwards!

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