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The MAA Journal of Data Science, published on behalf of Mathematical Association of America (MAA), serves the mathematics community by providing research and expository resources covering all areas of mathematical data science. The journal combines the expertise of leaders in mathematics and data science education with input from working professionals to ensure that published works represent current practice in this rapidly changing field of study.

The journal welcomes pedagogy and teaching practice, development of curricula that combine mathematics and data science at the course or program level, intersections with other disciplines, social justice and ethics, and exposition of mathematical ideas used in data science applications. Teaching approaches that help grow and diversify the population of students in these fields are especially encouraged, as are contributions describing the experience of current students or recent graduates in applications and careers.

Rick Cleary teaches at Babson College where he is Weissman Family Professor of Business Analytics. He has previously taught at Bentley University, Harvard University, Cornell University (College of Engineering) and St. Michael’s College, giving him experience teaching mathematics and statistics in many environments and at all levels of the curriculum.

He consults as an applied statistician in various fields, with publications and consulting work related to sports, fraud detection in accounting, measuring creativity in business students, and biomechanics.

Rick has long been active in the leadership of the Mathematical Association of America, having served six years on the Executive committee and working on several initiatives including the MAA’s Instructional Practices Guide.