The Statistical Computing and Statistical Graphics sections sponsor the John M. Chambers Statistical Software Award and Student Paper Award. The winner of the 2022 Chambers Award is Hubert Baniecki of Warsaw University of Technology for DALEX, a Python package for machine learning with interactive explainability and fairness.
The panel also selected an honorable mention, Vittorio Orlandi of Duke University, for FLAME, an R package for interpretable matching methods for performing causal inference on observational data with discrete covariates.
Student Paper Award winners are the following:
- Mengyu Li of Renmin University of China for “Core-Elements for Least Squares Estimation”
- Emily A. Robinson of the University of Nebraska, Lincoln for “Eye Fitting Straight Lines in the Modern Era”
- Abhishek Shetty of the University of California, Berkeley for “Distribution Compression in Near-Linear Time”
- Xinkai Zhou of the University of California, Los Angeles for “Bag of Little Bootstraps for Massive and Distributed Longitudinal Data”
The student award winners will present their work in a topic-contributed session during the 2022 Joint Statistical Meetings (JSM) and receive their certificates and cash prizes at the section mixer, also during JSM.
Raymond Wong, award chair for the two sections, managed the review process for the awards.
The John M. Chambers Statistical Software Award review panel included Yixuan Qiu, Samantha Tyler (chair), and Philip Waggoner.
The Student Paper Award review panel included Linglong Kong, Israel Almodovar, Inyoung Kim, Kiegan Rice, and Raymond Wong (chair).
Leave a Reply