Full RAPIDS 2018 schedule and tickets available here

A crazy little thing called reproducible science - Dr Tania Allard

Abstract

We have access to more data than we have ever had in all human history. This data availability has lead to a fundamental change in how we interact with and understand the world that surrounds us. As a consequence, science has become more and more computationally driven over the last few decades.

However, this shift in research and scientific approaches has also shed light on the lack of reproducible studies. But what exactly does reproducibility mean in a data-intensive context? What is more, how can an individual or an organization work towards reproducible science?

This talk will provide an introduction to the basis of reproducibility and why this is important to both the academic and industrial sector. It will follow with some tool agnostic recommendations to make data analysis pipelines and studies more robust, transparent, and reproducible.

Bio

Tania works as a Research Software Engineer at the University of Leeds, where she acts as a consultant in data engineering and reproducibility in (data) science. She works with a number of groups across all scientific disciplines to help them make better use of their data. She also consults research groups and SMEs on how to make the most of their data and to build robust data analysis pipelines. Her main focus is complex analysis workflows, scalable data science, and reproducibility and replicability in computationally intensive areas. She is passionate about mentoring, open source, and its community and is involved in a number of initiatives aimed to build more diverse and inclusive communities.

Get your free ticket

Code of Conduct

Please note that by attending the conference you agree to the following code of conduct .