I (Lauren not Andrew writing) will be speaking at an upcoming online workshop on reproducibility (free and open). More details here. Looking at the talk outlines, I’m really looking forward to it. I think we can generally agree that reproducibility is a good thing, and something we want to strive for, but in practice there’s a lot of complexity to a real world reproducibility workflow. I’m by no means an expert, so I’m hoping to pick up so new tips, tricks and reproducible perspectives!

The Faculty of Information and the Department of Statistical Sciences at the University of Toronto are excited to host 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 online on Thursday and Friday 25-26 February 2021. Everyone is welcome, you don’t need to be affiliated with a university, and you can register here.

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 online via Zoom, everyone is welcome – you don’t need to be affiliated with a university. If you would like to attend, then please sign up here.