Veridical Data Science Online Workshop
Monday, April 28, 2025 10:00 – 17:00
Dalla Lana School of Public Health, Toronto
The Division of Biostatistics in the Dalla Lana School of Public Health at the University of Toronto is pleased to host the 2025 SORA-TABA Annual Workshop. The event brings together statistical communities who are interested in biostatistics, artificial intelligence, data science, financial statistics, and other applied areas of statistics.
Professor Rebecca Barter from University of Utah, Division of Epidemiology, will lead the Veridical Data Science Online Workshop on Monday, April 28th, 10:00am-5:00pm.
Program:
Module 1: Introduction to Veridical Data Science
- Introducing Veridical Data Science
- The PCS (Predictability, Computability, and Stability) framework
- Motivating example(s)
Module 2: Predictability assessments
- Types of predictability assessments for trustworthiness evaluation
- Predictability case study
Module 3: Stability
- Types of stability assessments for trustworthiness evaluation
- Prediction perturbation intervals and stability plots
- Stability assessment case study
Module 4: Full veridical data science case study and best practices
Speaker Bio:
Dr. Rebecca Barter is a Research Assistant Professor in the Division of Epidemiology at the University of Utah. As a statistician, data scientist, and educator, Dr Barter specializes in data science education and the analysis of complex healthcare data. Dr. Barter earned her PhD in Statistics from the University of California, Berkeley, in 2019, where she co-authored the book Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making with her advisor, Professor Bin Yu. In addition to her academic work, Dr. Barter shares data science resources and insights on her blog, www.rebeccabarter.com.
To register and learn more about the workshop, please visit: 2025 SORA-TABA Annual Workshop
Workshop registration fees range from $75 to $230 plus HST. If you have any questions, please email Yeonkyung Namkoong at biostat.dlsph@utoronto.ca.
Previous workshops:
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- 2024 workshop – Correlated data analysis using R
- 2023 workshop – Fundamentals of Causal Inference: with R
- 2022 workshop – Regression Diagnostics with John Fox
- 2020 DLSPH Biostatistics Research Day Poster Presentations
- 2020 workshop
- 2019 workshop
- 2018 workshop
- 2017 workshop
- 2016 workshop
- 2014 workshop