Student-led Reproducibility Challenge

Reproducibility is a key Thematic Program for the Data Sciences Institute. The goal of this challenge is to encourage and raise awareness of reproducibility amongst students. The process of reproducing published analytic research is often difficult as the original process for conducting that work may not be explicit. The Challenge brings together students from across courses, across different fields, to investigate the reproducibility of published papers and verify their empirical results and claims by reproducing the computational methods.  Students will present how they approached reproducing a paper in their teams and share learnings and challenges. 

Event Venue & Nearby Stays

Data Sciences Institute, 10 floor, 700 University Avenue, Toronto, Canada