Workshops
Wednesday, January 13, 2027
8:00 a.m. – 10:00 a.m.
WK01: Causal Effects and Propensity Scores in 2026 (Beginner)
Instructor(s): Thomas Love, Case Western Reserve University
WK02: Fixing Medicare Advantage: Better Risk Adjustment, Machine Learning, and AI for Payment and Accountability (Intermediate)
Instructor(s): Arlene Ash, University of Massachusetts Medical School
10:15 a.m. – 12:15 p.m.
WK03: From Dependence to Policy Decisions: Copula-Based Causal Inference (Beginner)
Instructor(s): Yi Qian, University of British Columbia; Hui Xie
WK04: The Statistician’s Storybook: Crafting Accessible and Engaging Presentations (Beginner)
Instructor(s): Sarah Lotspeich, Wake Forest University, and Ana Maria Ortega-Villa, National Institutes of Health
WK05: AI in Healthcare: From Data, Insights, Policies, to Impact (Intermediate)
Instructor(s): Sonali Shah, AI4Purpose, and Kelly Zou, AI4Purpose
1:30 p.m. – 3:30 p.m.
WK06: Doing Meta-Analysis with R: A Hands-On Introduction for Health Policy and Population Health Researchers (Intermediate)
Instructor(s): Kamal Chawla, University of Maine
WK07: From Linkage to Inference: Estimating Associations and Causal Quantities with Linked Data (Intermediate)
Instructor(s): Roee Gutman, Brown University
WK08: Making Evidence Visible: Data Visualization and AI Workflows for Health Policy Impact (Intermediate)
Instructor(s): Rho Olaisen, HHS/AHRQ/CFACT
For full workshop course descriptions, visit the ICHPS program.
