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Foundations of Data Science (FoDS) invites submissions focusing on advances in mathematical, statistical, and computational methods for data science. Results should significantly advance current understanding of data science, by algorithm development, analysis, and/or computational implementation which demonstrates behavior and applicability of the algorithm. Expository and review articles are welcome. 


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June 2023 Vol. 5, No. 2

Special Issue on data science education

Guest Editors: Chad M. Topaz 1,2,3 , Brittney E. Bailey 4 , Stacey A. Hancock 5 , Orit Hazzan 6 , Amelia McNamara 7

1 Williams College, USA
2 Institute for the Quantitative Study, of Inclusion, Diversity, and Equity, USA
3 University of Colorado-Boulder, USA
4 Amherst College, USA
5 Montana State University, USA
6 Technion - Israel Institute of Technology, Israel
7 University of St Thomas, USA

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