Customer Lifetime Value under Complex Contract Structures. - Christoph Heitz; Andreas Ruckstuhl; Marcel Dettling (IESS, 2010)

Modelling customer lifetime value in contractual settings. - Christoph Heitz; Marcel Dettling; Andreas Ruckstuhl (Int. J. Serv. Technol. Manag., 2011)

Internet of Services. - Javier Soriano 001; Christoph Heitz; Hans-Peter Hutter; Rafael Fernández; Juan José Hierro; Jürgen Vogel 001; Andy Edmonds 001; Thomas Michael Bohnert (Evolution of Telecommunication Services, 2013)

User-Based Redistribution in Free-Floating Bike Sharing Systems. - Christoph Heitz; Roman Etschmann; Raoul Stoeckle; Thomas Bachmann; Matthias Templ (OR, 2018)

Towards an Ethical Code for Data-Based Business. - Michele Loi; Christoph Heitz; Andrea Ferrario; Anita Schmid; Markus Christen (SDS, 2019)

A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data. - Michele Loi; Christoph Heitz; Markus Christen (SDS, 2020)

On the Moral Justification of Statistical Parity. - Corinna Hertweck; Christoph Heitz; Michele Loi (FAccT, 2021)

A Systematic Approach to Group Fairness in Automated Decision Making. - Corinna Hertweck; Christoph Heitz (SDS, 2021)

Service Customization: Optimizing Value Creation and Capture by Designing the Customer Journey. - Jürg Meierhofer; Christoph Heitz (SDS, 2021)

Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency. - Joachim Baumann 002; Anikó Hannák; Christoph Heitz (FAccT, 2022)

Is calibration a fairness requirement?: An argument from the point of view of moral philosophy and decision theory. - Michele Loi; Christoph Heitz (FAccT, 2022)

People are not coins: Morally distinct types of predictions necessitate different fairness constraints. - Eleonora Viganò; Corinna Hertweck; Christoph Heitz; Michele Loi (FAccT, 2022)

Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation. - Joachim Baumann 002; Christoph Heitz (SDS, 2022)

On the Value of Data: Multi-Objective Maximization of Value Creation in Data-Driven Industrial Services. - Jürg Meierhofer; Rodolfo Benedech; Christoph Heitz (SDS, 2022)

A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs. - Corinna Hertweck; Joachim Baumann 002; Michele Loi; Eleonora Viganò; Christoph Heitz (CoRR, 2022)

Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics. - Joachim Baumann 002; Corinna Hertweck; Michele Loi; Christoph Heitz (CoRR, 2022)

Fair Machine Learning Through Post-processing: The Case of Predictive Parity. - Joachim Baumann 002; Anikó Hannák; Christoph Heitz (EWAF, 2023)

Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making. - Joachim Baumann 002; Corinna Hertweck; Michele Loi; Christoph Heitz (EWAF, 2023)

FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit. - Corinna Hertweck; Joachim Baumann 002; Michele Loi; Christoph Heitz (EWAF, 2023)

What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate Justice. - Corinna Hertweck; Christoph Heitz; Michele Loi (AIES (1), 2024)

On Prediction-modelers and Decision-makers: Why Fairness Requires More Than a Fair Prediction Model. - Teresa Scantamburlo; Joachim Baumann 002; Christoph Heitz (EWAF, 2024)

Fairness in Online Ad Delivery. - Joachim Baumann 002; Piotr Sapiezynski; Christoph Heitz; Aniko Hannak (FAccT, 2024)

Group Fairness Refocused: Assessing the Social Impact of ML Systems. - Corinna Hertweck; Michele Loi; Christoph Heitz (SDS, 2024)

Message from the General Chair; SDS 2025. - Christoph Heitz (SDS, 2025)