![]() ![]() June Choe, University of Pennsylvania, "Sub-layer modularity in the Grammar of Graphics" 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). Yelie Yuan (for R package wdnet, wdnet ), University of Connecticut. Junhao Huang and Jin Zhu (for package abess, abess ), National University of Singapore and Sun Yat-Sen University The review panel also selected two honorable mentions: Haiyang Huang and Yingfan Wang (for python package PaCMAP, YingfanWang/PaCMAP ), Duke University. Chambers Statistical Software Award goes to: 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). ![]() If these activities interest you, please consider adding either or both sections to your ASA membership. The importance of these activities is becoming even more critical with the advent of enormous datasets of extremely high dimensionality. 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 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. The importance of these activities is becoming even more critical with the advance of data technologies that challenge us with new problems. 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. Through these efforts, we advocate efficient and user-friendly computational applications arising from methodological and software developments. The ASA Section on Statistical Computing's mission is to promote computational applications that solve problems arising in statistics and data science.
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