Members of the Journal of the American Statistical Association editorial board recently announced the winners of the inaugural JASA Reproducibility Award, which recognizes papers that demonstrate excellence in implementing reproducible analyses, generating open data sets and software, and developing end-to-end workflows.

This year’s winning papers are the following:

• “Selective Inference for Hierarchical Clustering,” by Lucy Gao, Jacob Bien, and Daniela Witten
• “Crime in Philadelphia: Bayesian Clustering with Particle Optimization,” by Cecilia Balocchi, Sameer Deshpande, Edward George, and Shane Jensen

Authors of the winning papers will be presented with their awards at the Statistical Computing and Statistical Graphics section’s joint meeting during the Joint Statistical Meetings in Toronto, Ontario. Each award comes with a $500 honorarium.

To be eligible for the award, papers must be accepted into JASA by December 31 of the previous year. Up to three papers are selected annually.