Society for Industrial and Applied Mathematics (SIAM) has a new book series on Data Science, a fast-moving and rapidly expanding research area.
What is Data Science?
This research area covers mathematics and computational methods in data science that includes machine learning and data mining, intertwined with other key areas such as statistics, computer science, network science, and signal processing - all within the context of data science as well as applications of mathematical methods in data/information processing to science and engineering problems.
Mission of the Book Series
The mission of the book series is to provide state-of-the-art research and to explicate the insight and intuition behind the spectacular success of data science. We’re aiming for a wide audience and plan to publish monographs, in-depth essays on emerging trends, tutorials with a broad reach, state-of-the-art surveys, scholarly research retrospectives, and textbooks that focus on the mathematical foundations of the subject.
As the Book Series Editor-in-Chief, Ilse Ipsen, notes:
“There’s a ton of work on data science out there, but people need help finding it, understanding it, making sense of it, and figuring out how to apply it. The goal is to publish state-of-the-art research with exposition tailored to specific groups within the vast data science audience: hands-on textbooks for students, focused monographs for researchers, tutorials for do-it-yourselfers, and state-of-the-art surveys for those just wanting to glimpse the lay of the land.”
SIAM is well-positioned to achieve these goals, according to Ipsen, because “SIAM embraces a wide variety of computational research areas and its members come from diverse employment situations. This makes for a huge pool of authors who have a vast amount of expertise and experience to draw from.” Of course, the series will likely draw authors and readers from outside the SIAM membership too.
Do You Have Book Ideas?
Please contact Ilse Ipsen ([email protected]) or Elizabeth Greenspan ([email protected]), with your book ideas. Learn more about this emerging area with SIAM’s data science resources, and by getting involved with SIAM Activity Groups and student chapters. Subscribe to the SIAM newsletter to be kept up-to-date as the series develops.