Webinar 019: Popper: Creating Reproducible Computational and Data Science Experimentation Pipelines
Channel: IDEAS Productivity
Date: 26/06/2018

Presenter: Ivo Jimenez, UC Santa Cruz
Presented: 2018-06-13

Current approaches used in computational and data science research may require significant time without necessarily advancing scientific understanding. For example, researchers may spend countless hours reformatting data and writing code to attempt to reproduce previously published research. What if the scientific community could find a better way to create and publish workflows, data, and models that are easy to reproduce, thus streamlining scientific analysis? Popper is a protocol and command language interpreter (CLI) tool for implementing scientific exploration pipelines following a DevOps approach of unifying software development and operation in order to handle complexity in large codebases. Popper repurposes DevOps practices in the context of scientific explorations, so that researchers can leverage existing tools and technologies to enable reproducibility. This webinar will introduce the Popper protocol, including a demo of the CLI tool and HPC examples.

For more information about the HPC Best Practices webinars, including slides and Q&A archives for this presentation, other presentations in the series, and a mailing list for announcements of future webinars, please visit https://ideas-productivity.org/events/hpc-best-practices-webinars/