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).

Seeking Nominations

The Statistical Computing and Graphics Award recognizes an individual or team for innovation in computing, software, or graphics that has had an impact on statistical practice or research. Past honorees include Howard Wainer (2021), Luke Tierney (2019), Bill Cleveland (2016), and Robert Gentleman and Ross Ihaka (2010). The prize carries a cash award of $5,000, plus an allowance of up to $1,000 for travel to JSM 2023, where the award will be presented.

Qualifications

• The prize-winning contribution will have had a significant and lasting impact on statistical computing, software, or graphics.
• The nominee should be a member of the ASA.

The Statistical Computing and Graphics Award Committee will review the nominations and make the final determination of who, if anyone, should receive the award. The award may not be given to a sitting member of the awards committee or executive committee of the Section on Statistical Computing or Section on Statistical Graphics.

Nomination and Award Dates
Nominations are due by May 31. Nominations should be submitted as a complete packet, consisting of the following:

• A nomination letter, no longer than four pages, addressing points in the selection criteria
• The nominee’s curriculum vita(e)
• A minimum of three (and no more than four) supporting letters, each no longer than two pages

Selection Process
The Awards Committee will consist of the chairs and past chairs of the Statistical Computing and Statistical Graphics sections. The committee will meet at JSM 2022 to select the recipient(s) of the award.

Nominations and questions should be sent to Wong.