Automating Procedurally Fair Feature Selection in Machine Learning. - Clara Belitz; Lan Jiang; Nigel Bosch (AIES, 2021)

Constructing categories: Moving beyond protected classes in algorithmic fairness. - Clara Belitz; Jaclyn Ocumpaugh; Steven Ritter 001; Ryan S. Baker 001; Stephen E. Fancsali; Nigel Bosch (J. Assoc. Inf. Sci. Technol., 2023)

Bridging Informational Divides: A Community-Centered Analysis of "Public Safety" Surveillance Technology. - Gowri Saini Balasubramaniam; Clara Belitz; Anita Say Chan (CHI Extended Abstracts, 2024)

Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. - Clara Belitz; Haejin Lee; Nidhi Nasiar; Stephen E. Fancsali; Steven Ritter 001; Husni Almoubayyed; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (LAK, 2024)

Synthetic Dataset Generation for Fairer Unfairness Research. - Lan Jiang; Clara Belitz; Nigel Bosch (LAK, 2024)

Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data. - Clara Belitz; Haejin Lee; Nidhi Nasiar; Stephen E. Fancsali; Frank Stinar; Husni Almoubayyed; Steven Ritter 001; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (AIED (5), 2025)

Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability. - Frank Stinar; Haejin Lee; Clara Belitz; Nidhi Nasiar; Stephen Fancsali; Steve Ritter 001; Husni Almoubayyed; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (EDM, 2025)

XAI Reveals the Causes of Attention Deficit Hyperactivity Disorder (ADHD) Bias in Student Performance Prediction. - Haejin Lee; Clara Belitz; Nidhi Nasiar; Nigel Bosch (LAK, 2025)