Team
Prof. Dr. Alicia von Schenk
Julius-Maximilians-Universität
Sanderring 2
Sanderring 2
97070
Würzburg
Deutschland
Gebäude:
Neue Universität
Raum:
391
Telefon:
+49 931 31-86107

- 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.) Economics, summa 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.". Articles in Advance, INFORMS Journal on Computing (2023). 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". Accepted for publication, Perspectives on Psychological Science (2023). https://doi.org/10.1177/17456916231194949
- Klockmann, Victor, and Alicia von Schenk. "Patronizing Behavior in Heterogeneous Teams: A Laboratory Experiment". Journal of Behavioral and Experimental Economics 107: 102113 (2023). https://doi.org/10.1016/j.socec.2023.102113
Zum Peer-Review eingereichte Manuskripte
- von Schenk, Alicia. "Predictably Satisfied? Using Data-Driven Management to Promote Personalized Work Environments." Major Revisions at Journal of Economics & Management Strategy (2022). https://ssrn.com/abstract=3856479
- Klockmann, Victor, Alicia von Schenk, & Marie Claire Villeval. "Artificial Intelligence, Ethics, and Pivotality." Submitted, The Economic Journal (2021). https://ssrn.com/abstract=4003065
- Bonnefon, Jean-François, Victor Klockmann, Nils Köbis, Iyad Rahwan, & Alicia von Schenk. "Lie Detection Algorithms Attract Few Users but Vastly Increase Accusation Rates." (2023). https://arxiv.org/abs/2212.04277
Arbeitspapiere/Work in Progress
- The Effect of Echo Chambers on Biased Beliefs (with Andreas Grunewald, Victor Klockmann, Ferdinand von Siemens)
https://ssrn.com/abstract=4508834
- Algorithmic Institutions (with Levin Brinkmann, Jean-François Bonnefon, Amir Dezfouli, Nils Köbis, Iyad Rahwan)
- Can Less Be More? User-Driven Data Selection and Targeting in AI Recommender Systems (with Kevin Bauer, Victor Klockmann, Jan Zacharias)
- Transparency in Algorithmic Credit Scoring: Evidence from meineSCHUFA (with Oliver Hinz, Victor Klockmann)
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
insb. Mensch-Maschine-Interaktion
Sanderring 2
97070 Würzburg
Deutschland
Gebäude:
Neue Universität
Raum:
401
Telefon:
+49 931 31-81193
