MIDAS Reproducibility Challenge

By | February 20, 2020
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MIDAS | Michigan Institute For Data Science

The first of its kind at U-M, the MIDAS Reproducibility Challenge aims to highlight high-quality, reproducible work at U-M by collecting examples of best practices across diverse fields. There will be a prize pool of up to $15,000 cash award for the winning teams.

Besides incentivizing reproducible workflows and enabling a deeper understanding of issues of reproducibility, the results of the challenge will aim to provide templates that others can follow if they wish to adopt more reproducible approaches to disseminating their work.

U-M research teams in any field that make use of data, broadly construed, are welcome to enter. One of the PIs/co-PIs on the submitted project should be from U-M. Submissions are due by March 15. See the challenge webpage for details.