06/17/2026
Yu’s Paradigm-Shifting Veridical Data Science Impacts Research and Health Applications
Over the last decade, Professor Bin Yu and her research group have pioneered and refined a new data science paradigm called Veridical Data Science (VDS), beginning with a 2020 PNAS paper co-authored by Yu and her former PhD. student K. Kumbir. VDS is designed to set up operational guardrails for the entire data science cycle towards "truthful" results by relying on three core principles: Predictivity, Computability, and Stability (PCS).
https://statistics.berkeley.edu/about/news/yus-paradigm-shifting-veridical-data-science-impacts-research-and-health-applications
photo via David Apilado, Jr.