Skip to main content
What is the Book Club?
  • an ongoing reading group initiative for accredited members;
  • to support professional development by creating a collaborative space for applied statisticians to explore key topics and resources;
  • monthly sessions; to join any or all sessions based on their availability.

 

How to Join

  • Visit the Professional Development Resources >> Book Club section of MySSC by logging into your profile at ssc.ca. 

    Session details, including dates, topics, and reading materials, and the registration link are posted there each year.

    Non-accredited members may also participate upon request to the organizers (bookclub@ssc.ca)

List of Book Club series

 

2025-2026 

For 2025–2026, the reading group will take a direction by focusing on a curated series of academic articles. Discussions will explore topics ranging from how statisticians can integrate AI into their applied work, to the critical role statisticians play in strengthening AI through validation, transparency, and methodological rigor.

Nov 7    Use of generative AI in the practice of data analysis, Part I.  

             Reading: Applied statistics in the era of artificial intelligence: A review and vision, Min, Jie, et al.

Dec 5    Use of generative AI in the practice of data analysis, Part II. 

Jan 9     The role of statisticians in AI, Part I: Validation and application. 

Feb 6    The role of statisticians in AI, Part II: Ethics and responsibilities.    

Mar 6    Case study and/or guest speaker. TBD

Apr 3     Case study and/or guest speaker. TBD

Organizers

Dr. Kathryn Morrison, A.Stat. (Precision Analytics Inc)

Dr. Fernando Camacho, P.Stat. (DAMOS Inc)

2024-2025

The book selected for this year is Mark J. van der Laan and Sherri Rose. “Target Learning: Causal Inference for Observational and Experimental Data”, Springer Series in Statistics, 2011.

 

The first two sessions will be given by guest speakers to give us an introduction of Target Learning (TL) and then we will have group discussions based on Part I of the book that covers the basics of TL. 

Organizers

Dr. Kathryn Morrison, A.Stat. (Precision Analytics Inc)

Dr. Fernando Camacho, P.Stat. (DAMOS Inc)

2023-2024

The book selected for this year is Hernán MA, Robins JM (2020) “Causal Inference: What If”. Boca Raton:
Chapman & Hall/CRC. 

The book is available free online: https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ 

Organizers

Dr. Kathryn Morrison, A.Stat. (Precision Analytics Inc)

Dr. Fernando Camacho, P.Stat. (DAMOS Inc)