More publications of this project

Jakob Kappenberger, Heiner Stuckenschmidt, Frederic Gerdon
2025
Pricing parking for fairness — A simulation study based on an empirically calibrated model of parking behavior
S. (article no. 104389) pp. 1-29
Frederic Gerdon
2024
How are public preferences relevant to the ethical use of AI? Theoretical considerations and empirical findings
Wiesbaden
Daria Szafran, Ruben L. Bach
2024
“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making
S. (article no. 24) pp. 1-37
Patrick Oliver Schenk, Christoph Kern
2024
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production
S. 131-184
Frederic Gerdon, Ruben L. Bach, Christoph Kern, Frauke Kreuter
2024
Research Avenues for Studying Effects of Algorithmic Decision-Making Systems on Social Inequality
Paris
Ruben L. Bach
2024
Book Review: Applied Statistical Learning—With Case Studies in Stata
S. 854–855
Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt
2024
What fairness metrics can really tell you: A case study in the educational domain
S. 792-799
Kyoto
Association for Computing Machinery
Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt
2024
Combining fairness and causal graphs to advance both
S. 1-14
Aachen
RWTH Aachen
Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter
2024
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes
S. (article no. 24), pp. 1-30
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
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
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
Frederic Gerdon, Leah von der Heyde, Frauke Kreuter
2023
Using survey experiments to longitudinally study privacy as contextual integrity
Milan
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)
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
Jakob Kappenberger, Kilian Theil, Heiner Stuckenschmidt
2022
Evaluating the Impact of AI-Based Priced Parking with Social Simulation
S. 54-75
Cham
Springer
Patrick Kaiser, Christoph Kern, David Rügamer
2022
Uncertainty-aware predictive modeling for fair data-driven decisions
S. 11
Ithaca, NY
Cornell University
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
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
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
Frauke Kreuter
2019
Analyzing Administrative Data with Privacy Protection in Place
Berkeley