Deutsch Intern
Junior Professorship of Applied Microeconomics, esp. Human-Machine Interaction

Research

The goal of the junior professorship is (applied) microeconomic and interdisciplinary research, with a special focus on the topic of interaction between humans and machines. 

Would we be willing to accept an institution led by an algorithm if it could enable us to cooperate more efficiently? Can we increase the acceptance of algorithmic systems by involving the end user in their design? How does the use of people analytics affect employee satisfaction, does it offer us the opportunity for more personalized and targeted management? Are our social preferences changing as a result of "Big Data"?

But also more classical economic questions belong to the research topics, such as whether groups succeed in organizing themselves endogenously in hierarchies or what influence communication has on motivated beliefs, i.e. a distorted perception to one's own advantage.

Publications (with peer review)

  • Klockmann, Victor, Alicia von Schenk, & Ferdinand A. von Siemens. "Division of Labor and the Organization of Knowledge in Production: A Laboratory Experiment." Games and Economic Behavior 130 (2021): 196-210. https://doi.org/10.1016/j.geb.2021.08.002
     
  • Klockmann, Victor, Alicia von Schenk, & Marie Claire Villeval. "Artificial Intelligence, Ethics, and Intergenerational Responsibility." Journal of Economic Behavior & Organization 203 (2022): 284-317. https://doi.org/10.1016/j.jebo.2022.09.010
     
  • Eibelshäuser, Steffen, Victor Klockmann, David Poensgen, & Alicia von Schenk. "The Logarithmic Stochastic Tracing Procedure: A Homotopy Method to Compute Stationary Equilibria of Stochastic Games." INFORMS Journal on Computing 35.6 (2023): 1511-1526. https://doi.org/10.1287/ijoc.2022.0360
     
  • von Schenk, Alicia, Victor Klockmann, & Nils Köbis. "Social Preferences Toward Humans and Machines: A Systematic Experiment on the Role of Machine Payoffs". Perspectives on Psychological Science (2023): Online First. https://doi.org/10.1177/17456916231194949
     
  • Klockmann, Victor, & Alicia von Schenk. "Patronizing Behavior in Heterogeneous Teams: A Laboratory Experiment". Journal of Behavioral and Experimental Economics 107 (2023): 102113. https://doi.org/10.1016/j.socec.2023.102113 
     
  • von Schenk, Alicia, Victor Klockmann, Jean-François Bonnefon, Iyad Rahwan, & Nils Köbis. "Lie Detection Algorithms Disrupt the Social Dynamics of Accusation Behavior." iScience 27.7 (2024): 110201. https://doi.org/10.1016/j.isci.2024.110201


Manuscripts submitted for peer review

  • Klockmann, Victor, Alicia von Schenk, & Marie Claire Villeval. "Artificial Intelligence, Distributional Fairness, and Pivotality." Revise & Resubmit, European Economic Review. https://ssrn.com/abstract=4003065 
     
  • von Schenk, Alicia. "Predictably Satisfied? Using Data-Driven Management to Promote Personalized Work Environments." Under Review. https://ssrn.com/abstract=3856479
     
  • Grunewald, Andreas, Victor Klockmann, & Ferdinand von Siemens. "Are Biases Contagious? The Influence of Communication on Motivated Beliefs." Under Review. https://ssrn.com/abstract=4508834
     
  • Bauer, Kevin, Oliver Hinz, Victor Klockmann, Alicia von Schenk, & Jan Zacharias. "Can Less Be More? Opt-Out Features and Targeting with ML-based Recommender Systems." Under Review.


Work in progress

  • Transparency in Algorithmic Credit Scoring: Evidence from meineSCHUFA (with Oliver Hinz, Victor Klockmann)
     
  • Algorithmic Institutions (with Levin Brinkmann, Nils Köbis, Iyad Rahwan)
     
  • Human and Algorithmic Cooperation: Parameters Matter! (with Matthias Blonski, Steffen Eibelshäuser, Hendrik Hegemann, Victor Klockmann)


Book chapter

  • von Schenk, Alicia. "Fairness und Transparenz von KI-Anwendungen." KI-Revolution in der Arbeitswelt: Perspektiven für Management, Organisation & HR, edited by Michael Groß & Jörg Staff, Haufe Verlag, 2024, pp. 93-105.