Ragnhild Nordås and her teammate, Jule Krüger (Center for Political Studies), win the MIDAS 2021 Reproducibility Challenge. The team’s submission, Data Processing Principles for Auditable and Reproducible Research, was noted to “provide a template for a principled approach to organize, document and share a computational project.” 

Through the 2020 and 2021 Reproducibility Challenges, MIDAS seeks exemplary work from our researchers to make data science projects more reproducible and research outcomes more robust. MIDAS promotes a diverse and inclusive data science community by giving the spotlight to women and underrepresented minorities by organizing training and social events specifically for these underrepresented groups.