2022 Toronto Workshop on Reproducibility

A two-day workshop focusing on reproducibility in data-centric analysis. [Thursday and Friday 25-26 February 2022]. [Location TBD]. All welcome! Register [Link here].


The CANSSI Ontario, the Data Sciences Institute, the Faculty of Information, and the Department of Statistical Sciences at the University of Toronto are excited to host the second annual Toronto Workshop on Reproducibility. A two-day conference bringing together academic and industry participants on the critical issue of reproducibility in applied statistics and related areas. The conference is [free] and will be hosted [location/hybrid] on Thursday and Friday 25-26 February 2022. Everyone is welcome, you don’t need to be affiliated with a university, and you can register [Link]

The conference has three broad areas of focus:

  • Evaluating reproducibility: Systematically looking at the extent of reproducibility of a paper or even in a whole field is important to understand where weaknesses exist. Does, say, economics fall flat while demography shines? How should we approach these reproductions? What aspects contribute to the extent of reproducibility.
  • Practices of reproducibility: We need new tools and approaches that encourage us to think more deeply about reproducibility and integrate it into everyday practice.
  • Teaching reproducibility: While it is probably too late for most of us, how can we ensure that today’s students don’t repeat our mistakes? What are some case studies that show promise? How can we ensure this doesn’t happen again?

We intend to record the presentations and will add links here after the conference. Again, the conference is [free] and [Hybrid], everyone is welcome – you don’t need to be affiliated with a university. If you would like to attend, then please sign up [Link here].


We gratefully acknowledge the support of the Faculty of Information and the Department of Statistical Sciences at the University of Toronto, and CANSSI Ontario; in particular Dean Wendy Duff, Chair Radu Craiu, and Professor Lisa Strug for their support.

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Local Time

  • Timezone: America/New_York
  • Date: Feb 24 - 25 2022
  • Time: 9:00 am - 6:00 pm