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

Team

Prof. Dr. Alicia von Schenk

Julius-Maximilians-Universität
Sanderring 2
97070 Würzburg
Deutschland
Gebäude: Neue Universität
Raum: 391
Telefon: +49 931 31-86107

Sprechzeiten nach Anmeldung per E-Mail

Curriculum Vitae

 

  • Junior Professorship of Applied Microeconomics (Tenure Track) at the University of Würzburg since 09/2022
  • Postdoctoral Researcher, Center for Humans and Machines, Max Planck Institute for Human Development Berlin (2021-2022)
  • Ph.D. (Dr. rer. pol.) Economicssumma cum laude, Goethe University Frankfurt (2021)
        Thesis title: "Economics of Organizations and the Impact of Artificial Intelligence"
  • M.Sc. Quantitative Economics, Goethe University Frankfurt (2018)
  • M.Sc. Mathematics, Goethe University Frankfurt (2016)
  • B.Sc. Economics and Business Administration, Goethe University Frankfurt (2016)
  • B.Sc. Mathematics, Goethe University Frankfurt / Heidelberg University (2014)

  • Member of the Committee for Organizational Economics, German Economic Association (seit 2022)
  • Associate Research Scientist, Center for Humans and Machines, Max Planck Institute for Human Development Berlin (seit 2022)
  • FLEX: Frankfurt Laboratory for Experimental Economic Research (seit 2021)

Publikationen (mit Peer-Review-Verfahren)

  • 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


Zum Peer-Review eingereichte Manuskripte

  • 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)


Buchkapitel

  • 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.

Economics of Artificial Intelligence, Behavioral Economics, Organizational Economics, Experimental Economics, Technology Ethics, Game Theory


Franziska Müller

Wissenschaftliche Mitarbeiterin
Juniorprofessur für Angewandte Mikroökonomie,
insb. Mensch-Maschine-Interaktion
Sanderring 2
97070 Würzburg
Deutschland
Gebäude: Neue Universität
Raum: 401
Telefon: +49 931 31-81193