The Impact of the 'Right to Be Forgotten' on Algorithmic Fairness. - Julian Sengewald; Richard Lackes (BIR, 2021)

Drawing Attention on (Visually) Competitive Online Shopping Platforms - An Eye-Tracking Study Analysing the Effects of Visual Cues on the Amazon Marketplace. - Alper Beser; Julian Sengewald; Richard Lackes (BIR, 2022)

Fair Engineering of Machine Learning Systems - Lessons Learned from a Literature Review. - Julian Sengewald; Richard Lackes (HICSS, 2022)

Prescriptive Analytics in Procurement: Reducing Process Costs. - Julian Sengewald; Richard Lackes (Wirtschaftsinformatik, 2022)

Early Product Cost Estimation by Intelligent Machine Learning Algorithms. - Richard Lackes; Julian Sengewald (ICAIIC, 2023)

Human perceptions of fairness: a survey experiment. - Julian Sengewald; Anissa Schlichter; Markus Siepermann; Richard Lackes (Wirtschaftsinformatik, 2023)

Bike-Sharing Station Placement: Spatial Analysis and Data Mining of Network Design Characteristics. - Julian Sengewald; Richard Lackes (AMCIS, 2024)

Robo-Advisory and Algorithmic Trading via Evolutionary Discretization and Rule-Mining. - Julian Sengewald; Richard Lackes (AMCIS, 2024)

AI-Assisted Learning Feedback: Should Gen-AI Feedback Be Restricted to Improve Learning Success? A Pilot Study in a SQL Lecture. - Julian Sengewald; Mathis Wilz; Richard Lackes (ECIS, 2024)

A Multi-objective Particle Swarm Optimization Framework for Operations Management. - Julian Sengewald; Richard Lackes (WHICEB (3), 2024)

Price jumps on the intraday energy market - design and implementation of an alarm system with machine learning methods. - Richard Lackes; Julian Sengewald; Mathis Wilz (PACIS, 2025)

A Tailored NSGA-II Approach for Responsible Managerial ML Optimization on Imbalanced Data. - Julian Sengewald; Richard Lackes (PACIS, 2025)