December 23, 2019

193 words 1 min read

Design for reproducibility

Design for reproducibility

Lorena Barba explores how to build the ability to support reproducible research into the design of tools like Jupyter and explains how better insights on designing for reproducibility might help extend this design to our research workflows, with the machine as our active collaborator.

Talk Title Design for reproducibility
Speakers Lorena Barba (George Washington University)
Conference JupyterCon in New York 2017
Conf Tag
Location New York, New York
Date August 23-25, 2017
URL Talk Page
Slides Talk Slides
Video

Stanford professor and reproducible research grand master Jon Claerbout argued that “interactive programs are slavery unless they include the ability to arrive in any previous state by means of a script.” Jupyter was born out of IPython (where the I stands for “interactive”) to offer a solution for creating reproducible computational narratives. The tool is both interactive and supports reproducible research, even if there is tension between the two attributes. Lorena Barba explores how to build the ability to support reproducible research into the design of tools like Jupyter and explains how better insights on designing for reproducibility might help extend this design to our research workflows, with the machine as our active collaborator.

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