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Volume 2, 2020

Volume 1, 2019

Foundations of Data Science

Foundations of Data Science: Special Issue
Data Science Education Research

special issue on Data Science Education Research will be featured in Foundations of Data Science. Its aim will be to collect a set of research-based papers that discuss issues specific to data science education. This issue will present papers on data science education at all levels of academia and industry, including K-12, undergraduate, graduate, and professional development. Of particular interest are papers that discuss data science education beyond the introductory level. Expressions of interest (including abstract of max. 250 words and list of authors with affiliation and email address) to contribute to this Special Issue should be sent as a pdf file to Chad Higdon-Topaz at cmt6@williams.edu by March 15th 2021. Full papers are expected to be submitted by July 7, 2021.

Guest Editors:
Brittney Bailey, Stacey Hancock, Orit Hazzan, Chad Higdon-Topaz, and Amelia McNamara.




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