Editorial Advisory Board

Alexander Schliep, Brandenburg Technical University Cottbus-Senftenberg, Germany
Andreas Daniel Matt, IMAGINARY gGmbH, Berlin, Germany
Antonio Araujo, Universidade Aberta, Portugal
Benjamin Itza-Ortiz, Universidad Autónoma del Estado de Hidalgo, Mexico
Harry R. Lewis, Harvard University, USA
Hyungrul Baik, KAIST, South Korea
Scott Lindstrom, Curtin University, Australia
Urban Larsson, IIT-B, Mumbai India
Vanja Dukic, University of Colorado-Boulder, USA
Xin-She Yang, Middlesex University London, England 

Testimonials

The Handbook of Visual, Experiment and Computational Mathematics is a tremendous resource for both researchers and teachers.  The variety of applications demonstrates how mathematics is done in this age of collaboration and computation, and the thoughtful and well-prepared graphics illustrate the theoretical principles from various subfields of mathematics.  It is worth noting that many students are among the authors, and teachers looking for student projects, from undergraduate research to graduate dissertations, will find that the chapters encourage further exploration and alternate approaches. 

• Rick Cleary, Weissman Professor of Business Analytics, Babson College

The Handbook of Visual, Experimental, and Computational Mathematics-Bridges through Data offers a timely and compelling view of how modern mathematics is practiced at the intersection of computation, visualization, and data. Spanning topics from abstract theoretical mathematics to pressing real-world applications, the volume highlights a unifying theme: data is not merely an input, but a bridge connecting theory, computation, and visualization.

The sports analytics section exemplifies the book's breadth and approach. Sports provide a natural laboratory for data-driven mathematics, where predictive modeling, visualization, machine learning, and linear algebra converge on questions of performance, strategy, and decision-making. The wide-ranging chapters illustrate how mathematical structure, statistical reasoning, and thoughtful visualization can yield insights that are both practically relevant and mathematically rich.

Beyond sports, the handbook spans fields including epidemiology, life sciences, climate science and ecology, information theory, and pure mathematics. Taken as a whole, it offers a rich collection of examples demonstrating how mathematical thinking informs data-driven inquiry in contemporary society.

• Tim Chartier, Joseph R. Morton Professor of Mathematics and Computer Science, Davidson College