Open Source Software for Data Science

Open-source software is fundamentally necessary to ensure that the tools of data science are broadly accessible, and to provide a reliable and trustworthy foundation for reproducible research.

Open Source Software for Data Science

February 1, 2020

Open-source software is fundamentally necessary to ensure that the tools of data science are broadly accessible, and to provide a reliable and trustworthy foundation for reproducible research. This talk will delve into why open source software is so important and discuss the role of corporations as stewards of open source software. I'll also talk about how RStudio is structured and organized to pursue its mission of creating open source software for data science.

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About the speaker

J.J. Allaire

JJ Allaire is a software engineer and entrepreneur who has created a wide variety of products including ColdFusion Open Live Writer Lose It! and RStudio.