More publications of this project
2025
Pricing parking for fairness — A simulation study based on an empirically calibrated model of parking behavior
S. (article no. 104389) pp. 1-29
2024
How are public preferences relevant to the ethical use of AI? Theoretical considerations and empirical findings
Wiesbaden
2024
“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making
S. (article no. 24) pp. 1-37
2024
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production
S. 131-184
2024
Research Avenues for Studying Effects of Algorithmic Decision-Making Systems on Social Inequality
Paris
2024
What fairness metrics can really tell you: A case study in the educational domain
S. 792-799
Kyoto
Association for Computing Machinery
2024
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes
S. (article no. 24), pp. 1-30
2023
Humans vs. Machines: Who is Perceived to Decide Fairer? An Experiment about Citizens’ Attitudes
Munich
2023
To share or not to share – Using open-ended survey questions to understand data sharing decisions
Milan
2023
Using survey experiments and agent-based modeling to simulate mobility behavior in smart cities
Milan
2022
Social impacts of algorithmic decision-making: A research agenda for the social sciences
S. 1-13 (e-only)
2022
Did the GDPR Increase Trust in Data Collectors? Evidence from Observational and Experimental Data
S. 2101-2121
2022
Evaluating the Impact of AI-Based Priced Parking with Social Simulation
S. 54-75
Cham
Springer
2022
Uncertainty-aware predictive modeling for fair data-driven decisions
S. 11
Ithaca, NY
Cornell University
2022
Digital trace data. Modes of data collection, applications, and errors at a glance
S. 100-118
London
Routledge
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
2021
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
S. 22
Ithaca, NY
Cornell University
2021
Fairness in Algorithmic Profiling: A German Case Study
S. 33
Ithaca, NY
Cornell University
2019
Change Through Data: A Data Analytics Training Program for Government Employees
S. (e-only)