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May 2018 Cover College Mathematics Journal

Scatterplot publishes pedagogy and best teaching practices for courses related to data science, case studies for teaching, data science for non-majors (gen ed), examples of math topics in data science, student submissions that describe experience with applications, data science in the first two years, intersections with other disciplines, social justice and ethics, development of a data science program in math departments, and exposition of the mathematical idea behind Data Science tools.

Rick Cleary, Editor


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About Scatterplot

Scatterplot: The MAA Journal of Data Science serves the mathematics community by providing content at the intersection of mathematics, data science and educational practice. It will provide a space that specifically addresses using data science in the mathematics classroom as well as a roadmap for instructors to incorporate data science into their courses or programs. We aim to provide an opportunity for mathematicians interested in modern applications to share their experiences with the MAA community. Scatterplot will not be limited to traditional articles. We will also publish video interviews with data science practitioners, articles that provide links to data resources, and other more dynamic content. We are especially interested in have recent graduates now in the workforce describe how their mathematical courses prepared them for careers.

Scatterplot encourages submissions from all backgrounds regardless of career stage, geography, gender, or any other defining characteristic. Scatterplot aims to be a truly inclusive journal.

Proposals for high-quality special issues are welcome and should be discussed with the Editor-in-Chief in the first instance.

Peer Review Policy

All submitted manuscripts are subject to Crossref similarity checks and initial appraisal by the Editor-in-Chief and/or one of the Associate Editors. If found suitable for further consideration, manuscripts are subject to double blind peer review by at least two independent, anonymous expert referees.

Rick Cleary, Editor



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