JASA Reproducibility Awardees

The JASA Editorial Board and Associate Editors for Reproducibility would like to congratulate the winners on their exceptional contributions to computational reproducibility within the statistical field! 🏅

These awards are selected by the JASA Associate Editors of Reproducibility (AERs) and a description of the JASA Reproducibility Award is described here.

2026

• Greg Ridgeway (2026). A Conditional Ordinal Stereotype Model to Estimate Police Officers’ Propensity to Escalate Force. Journal of the American Statistical Association, DOI: 10.1080/01621459.2025.2597050

  • Code to reproduce results: https://github.com/gregridgeway/COS-police-use-of-force

2025

• Zihang Wang, Irina Gaynanova, Aleksandr Aravkin, Benjamin B. Risk (2024) Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism. Journal of the American Statistical Association, DOI: 10.1080/01621459.2024.2370593

  • Code to reproduce results: https://github.com/gnawgnahiz/SparseICA-repo

• Wentao Zhan, Abhirup Datta (2025). Neural Networks for Geospatial Data. Journal of the American Statistical Association, DOI: 10.1080/01621459.2024.2356293

  • Code to reproduce results: https://github.com/WentaoZhan1998/NN-GLS-article-code

2024

• Yabo Niu, Yang Ni, Debdeep Pati, Bani K. Mallick (2023). Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data, Journal of the American Statistical Association, DOI: 10.1080/01621459.2023.2233744

  • Code to reproduce results: https://www.tandfonline.com/doi/suppl/10.1080/01621459.2023.2233744?scroll=top

• Stéphane Guerrier, Christoph Kuzmics, Maria-Pia Victoria-Feser (2024). Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information, Journal of the American Statistical Association, DOI: 10.1080/01621459.2024.2313790

  • R software package: https://github.com/stephaneguerrier/pempi
  • Code to reproduce results: https://stephaneguerrier.github.io/pempi/articles/reproducibility.html

2023

• Lucy L. Gao, Jacob Bien, Daniela Witten (2022). Selective Inference for Hierarchical Clustering, Journal of the American Statistical Association, DOI: 10.1080/01621459.2022.2116331

  • R software package: http://lucylgao.com/clusterpval
  • Code to reproduce results: https://github.com/lucylgao/clusterpval-experiments

• Cecilia Balocchi, Sameer K. Deshpande, Edward I. George, Shane T. Jensen (2023). Crime in Philadelphia: Bayesian Clustering with Particle Optimization, Journal of the American Statistical Association, DOI: 10.1080/01621459.2022.2156348

  • R software package: https://github.com/cecilia-balocchi/particle-optimization/tree/master/PARTOPT
  • Code to reproduce results: https://github.com/cecilia-balocchi/particle-optimization