Bright: an augmented reality assistive platform for visual impairment. - Ashish M. Bakshi; Jan Simson; Cesar de Castro; Charlene Chenyang Yu; Andreas Dias (GEM, 2019)

What If? Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness. - Jan Simson; Florian Pfisterer; Christoph Kern 001 (EWAF, 2023)

Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness. - Jan Simson; Florian Pfisterer; Christoph Kern 001 (HHAI, 2023)

Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness. - Jan Simson; Florian Pfisterer; Christoph Kern 001 (CoRR, 2023)

occupationMeasurement: A Comprehensive Toolbox for Interactive Occupation Coding in Surveys. - Jan Simson; Olga Kononykhina; Malte Schierholz (J. Open Source Softw., 2023)

Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets. - Jan Simson; Alessandro Fabris; Christoph Kern 001 (EWAF, 2024)

Lazy Data Practices Harm Fairness Research. - Jan Simson; Alessandro Fabris; Christoph Kern 001 (FAccT, 2024)

One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions. - Jan Simson; Florian Pfisterer; Christoph Kern 001 (FAccT, 2024)

Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback. - Niklas Ippisch; Anna-Carolina Haensch; Jan Simson; Jacob Beck; Markus Herklotz; Malte Schierholz (CoRR, 2024)

Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse. - Jan Simson; Fiona Draxler; Samuel Mehr; Christoph Kern 001 (CHI, 2025)