Reproducible data science: How hard can it be?

Episode 15 of the The Turing Podcast podcast, hosted by The Alan Turing Institute, titled "Reproducible data science: How hard can it be?" was published on September 24, 2020 and runs 65 minutes.

September 24, 2020 ·65m · The Turing Podcast

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Summary

The ability to reproduce the research that other scientists have done to see whether the same results are obtained (or the same conclusions are reached) is an integral part of the scientific process, but are we doing it right and how difficult is it to do? This week, Ed is joined by Dr Kirstie Whittaker and Dr Sarah Gibson for a discussion about the reproducibility of scientific research, why this is such an important topic and what The Alan Turing Institute is doing to promote best practices in reproducible data science. Kirstie is the Programme Lead for Tools, Practices and Systems at The Alan Turing Institute and Sarah is a Research Software Engineer at the Institute who is also a fellow of the Software Sustainability Institute. Check out some of the projects mentioned in the interview such as The Turing Way at https://the-turing-way.netlify.app/ and Binder at https://mybinder.org/

Episode Description

The ability to reproduce the research that other scientists have done to see whether the same results are obtained (or the same conclusions are reached) is an integral part of the scientific process, but are we doing it right and how difficult is it to do? This week, Ed is joined by Dr Kirstie Whittaker and Dr Sarah Gibson for a discussion about the reproducibility of scientific research, why this is such an important topic and what The Alan Turing Institute is doing to promote best practices in reproducible data science. Kirstie is the Programme Lead for Tools, Practices and Systems at The Alan Turing Institute and Sarah is a Research Software Engineer at the Institute who is also a fellow of the Software Sustainability Institute. Check out some of the projects mentioned in the interview such as The Turing Way at https://the-turing-way.netlify.app/ and Binder at https://mybinder.org/

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