Registration is now open for the first session of the second Risk Prediction Workshop Series, taking place during the Spring 2026 semester.
This series, Algorithmic Fairness: Concepts, Evaluation, and Real-World Case Studies, explores fairness considerations in statistical, machine learning, and AI algorithms used in clinical and biomedical applications. Across the series, we will cover foundational concepts, emerging methodological advances, and real-world PSOM case studies, including evaluations of fairness in lung cancer screening.
