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.
