More publications of this project

Daria Szafran, Ruben L. Bach
2024
“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making
S. 1-37
Ruben L. Bach
2024
Book Review: Applied Statistical Learning—With Case Studies in Stata
S. 854–855
Frederic Gerdon, Daria Szafran, Jakob Kappenberger, Ruben L. Bach, Christoph Kern
2023
Using survey experiments and agent-based modeling to simulate mobility behavior in smart cities
Milan
Frederic Gerdon, Leah von der Heyde, Frauke Kreuter
2023
Using survey experiments to longitudinally study privacy as contextual integrity
Milan
Ruben L. Bach, Christoph Kern, Hannah Mautner, Frauke Kreuter
2023
The impact of modeling decisions in statistical profiling
S. (article-no. e32), pp. 1-19
Christoph Kern, Frederic Gerdon, Ruben L. Bach, Florian Keusch, Frauke Kreuter
2023
Humans vs. Machines: Who is Perceived to Decide Fairer? An Experiment about Citizens’ Attitudes
Munich
Ruben L. Bach, Henning Silber, Matthias Schonlau, Jette Schröder, Frederic Gerdon, Florian Keusch
2023
To share or not to share – Using open-ended survey questions to understand data sharing decisions
Milan
Florian Keusch, Frauke Kreuter
2022
Digital trace data. Modes of data collection, applications, and errors at a glance
S. 100-118
London
Routledge
Matthias Kuppler, Christoph Kern, Ruben L. Bach, Frauke Kreuter
2022
From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making
S. (article no. 883999), pp. 1-18
Frederic Gerdon, Ruben L. Bach, Christoph Kern, Frauke Kreuter
2022
Social impacts of algorithmic decision-making: A research agenda for the social sciences
S. 1-13 (e-only)
Jakob Kappenberger, Kilian Theil, Heiner Stuckenschmidt
2022
Evaluating the Impact of AI-Based Priced Parking with Social Simulation
S. 54-75
Cham
Springer
Paul C. Bauer, Frederic Gerdon, Florian Keusch, Frauke Kreuter, David Vannette
2022
Did the GDPR Increase Trust in Data Collectors? Evidence from Observational and Experimental Data
S. 2101-2121
Patrick Kaiser, Christoph Kern, David Rügamer
2022
Uncertainty-aware predictive modeling for fair data-driven decisions
S. 11
Ithaca, NY
Cornell University
Matthias Kuppler, Christoph Kern, Ruben L. Bach, Frauke Kreuter
2021
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
S. 22
Ithaca, NY
Cornell University
Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter
2021
Fairness in Algorithmic Profiling: A German Case Study
S. 33
Ithaca, NY
Cornell University
Christoph Kern
2020
Machine Learning Interpretation Tools
S. 1-12 (e-only)
London
SAGE
Frauke Kreuter
2019
Analyzing Administrative Data with Privacy Protection in Place
Berkeley
Frauke Kreuter
2019
Will Differential Privacy Transform Social Science
Frankfurt
Frauke Kreuter, Rayid Ghani, Julia Lane
2019
Change Through Data: A Data Analytics Training Program for Government Employees
S. (e-only)
Frauke Kreuter
2019
The Social Survey Statistician's Perspective on (Differential)
Berkeley