Risk Prediction Workshop Series on Algorithmic Fairness: Workshop 1
Thursday, January 22, 2026
12:00 pm - 1:30 pm
01/22/26 - 12:00pm to 01/22/26 - 1:30pm
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.
January 22 session will cover fundamental concepts and a review of the current literature:
- Time: 12:00–1:30 p.m.
- Location: 3600CCB 05-031
- Capacity: Space is limited to 25 participants - lunch will be provided.
- Co-sponsored by: CCEB and ACC
Remaining session dates:
(All sessions will be held at the same time and location.)
- February 26, 2026
- March 26, 2026
- April 23, 2026
- TBD