The ASA Section on Statistical Computing's mission is to promote computational applications that solve problems arising in statistics and data science. Through these efforts, we advocate efficient and user-friendly computational applications arising from methodological and software developments. In addition, we encourage the joint application of computational statistical and data science techniques in other fields, and act as a focal point for computational activities within the ASA. The importance of these activities is becoming even more critical with the advance of data technologies that challenge us with new problems.
The ASA Section on Statistical Graphics's mission is to foster understanding and proper use of statistical graphics in statistics, in other scientific fields, in the greater data visualization community, in the mass media, and among the general public. In addition, we encourage the teaching of statistical graphics in universities, colleges, secondary schools, and primary schools and we encourage research in statistical graphics and data visualization to provide a focus within the Association for it. The importance of these activities is becoming even more critical with the advent of enormous datasets of extremely high dimensionality.
If these activities interest you, please consider adding either or both sections to your ASA membership.
2023 Student Awards announced!
The review panel of the John M. Chambers Statistical Software Award consisted of Stephen Berg (Section on Statistical Computing), Yixuan Qiu (Section on Statistical Computing) and Samantha Tyler (Section on Statistical Computing; chair of the review panel). The 2023 John M. Chambers Statistical Software Award goes to:
Haiyang Huang and Yingfan Wang (for python package PaCMAP, https://github.com/YingfanWang/PaCMAP), Duke University.
The review panel also selected two honorable mentions:
Junhao Huang and Jin Zhu (for package abess, https://github.com/abess-team/abess), National University of Singapore and Sun Yat-Sen University;
Yelie Yuan (for R package wdnet, https://gitlab.com/wdnetwork/wdnet), University of Connecticut.
The review panel of the Student Paper Award consisted of Achraf Cohen (Section on Statistical Computing), Lucy D'Agostino McGowan (Section on Statistical Graphics), Linglong Kong (Section on Statistical Computing), Kiegan Rice (Section on Statistical Graphics) and Raymond Wong (both sections; chair of the review panel). The 2023 Student Paper Awards go to:
June Choe, University of Pennsylvania, "Sub-layer modularity in the Grammar of Graphics";
Haoyu Jiang, Duke University, "The Stochastic Proximal Distance Algorithm";
Subrata Pal, Iowa State University, "Fast matrix-free methods for model-based personalized synthetic MR imaging";
Wenjia Wang, University of Pittsburgh, "Accurate and Ultra-efficient P-value Calculation for Higher Criticism Tests".
The student award recipients will present their work in a topic-contributed session of the 2023 Joint Statistical Meetings. They will also receive their certificate and cash prize at the mixer of the Section on Statistical Computing
and the Section on Statistical Graphics.
2023 ASA Statistical Computing and Graphics Award
The Joint Statistical Computing and Statistical Graphics Sections of the American Statistical Association (ASA) are pleased to announce that the 2023 ASA Statistical Computing and Graphics Award goes to Dr. Douglas Bates:
"For his fundamental contributions to statistical computing infrastructure, developments of S, R, Julia, and mixed-effects models, and their applications in statistical research and practice."
Dr. Bates is currently an Emeritus Professor in the Department of Statistics at the University of Wisconsin-Madison. He received his Ph.D. in Statistics from Queen's University at Kingston in 1978. After being on the faculty of Mathematics at University of Alberta, he joined the University of Wisconsin-Madison in 1980, where he chaired the Department from 1991 to 1994. Throughout his career, he has published two books and over 40 papers. He has served on the editorial board of the SIAM Journal of Scientific and Statistical Computing (1983-1984), The American Statistican (1989), the Journal of Computational and Graphical Statistics (1990-1993), and the Current Index to Statistics (1998-2003). He became a Fellow of the American Statistical Association in 1992. Dr. Bates has contributed significantly to the development of S and R languages since early days. He is a founding member of the R Development Core Team. Besides, he is well known for his impressive contribution to the development and implementation of mixed-effects models. He is one of the major developers of the three widely used packages for mixed-effects models: "nlme" (for S and R), "lme4" (for R) and "MixedModels" (for Julia).
The ASA Statistical Computing and Graphics Award is the most prestigious award bestowed by the Section on Statistical Computing and the Section on Statistical Graphics. It recognizes an individual or team for innovation in computing, software, or graphics that has had a significant impact on statistical practice or research. The past awardees are Howard Wainer (2021), Luke Tierney (2019), Bill Cleveland (2016), and Robert Gentleman and Ross Ihaka (2010).
The award committee consisted of the past and present chairs of the Section on Statistical Computing (Usha Govindarajulu and Jun Yan) and the Section on Statistical Graphics (Simon Urbanek and Ed Mulrow).
The award will be presented at the two Sections' mixer at the 2023 Joint Statistical Meeting (JSM). An invited session honoring Dr. Douglas Bates, organized by Dr. Yazhen Wang, is reserved for the 2023 JSM.
Congratulations 2022 Data Challenge Expo Winners!
Demographic Profile and Factors of Homeownership Disparity in the United States
Rachel Richardson, Pacific Northwest National Laboratory - Battelle; David Degnan, Pacific Northwest National Laboratory - Battelle; Anastasiya Prymolenna, Pacific Northwest National Laboratory - Battelle; Natalie Winans, Pacific Northwest National Laboratory - Battelle; Lisa Bramer, Pacific Northwest National Laboratory - Battelle
2023 The Annual Data Challenge Expo
The Computing, Government, and Graphics sections of the ASA are proud to sponsor the annual Data Challenge Expo at the JSM 2023 meetings to be held in Toronto, Canada from August 5 – 10, 2023 (community.amstat.org/dataexpo/home). For instructors in statistics or data science, the challenge could be integrated into the classroom as a final project.
Participation is open to students and professionals from the private or public sector. Using statistical and visualization tools and methods, contestants will analyze the given data set(s). Awards will be given in two categories – Professional (one $500 award) and Student (three awards $1,500, $1,000, and $500). Instructions for entry can be found at community.amstat.org/dataexpo/home.