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Stat is delighted to present the first-ever peer-reviewed compilation of work presented at the Symposium for Data Science and Statistics, an annual conference that brings together data scientists, statisticians, computer scientists, and others interested in the interface between computing and statistics.

This virtual special issue of 18 articles collects the work of a variety of presenters at the conference, representing all six of the subject tracks that organized the symposium: Computational Statistics, Data Visualization, Education, Machine Learning, Practice & Applications, and Software & Data Science Technology.

The issue is co-edited by Hao Helen Zhang, David R. Hunter, and Lingzhou Xue.