MIDAS promotes reproducible data science together with researchers in our community through raising awareness, celebrating best practices, enabling the scholarly investigation of reproducible research, and developing tools that can be widely adopted.

Read our article in Harvard Data Science Review

Reproducibility Challenge

The Reproducibility Challenge highlights high-quality, reproducible work.

Reproducibility Showcase

The Reproducibility Showcase features a series of online presentations and tutorials.

Reproducibility Resources

This page features resources submitted by U-M data science researchers.