A significant challenge across scientific fields is the reproducibility of research results, and third-party assessment of such reproducibility.

The Michigan Institute for Data Science (MIDAS) is pleased to announce the 2020 Reproducibility Challenge.  Our goal is to highlight high-quality, reproducible work at the University of Michigan by collecting examples of best practices across diverse fields.  Besides incentivizing reproducible workflows and enabling a deeper understanding of issues of reproducibility, we hope the results of the challenge will provide templates that others can follow if they wish to adopt more reproducible approaches to disseminating their work.

There will be a prize pool of up to $15,000 cash award for the winning teams.

Submissions are due by March 15, 2020.

Winners will be announced on April 15, 2020.

All of the details can be found here.