The majority of books in this issue are devoted to modeling in one form or another. The featured review by Thomas Wick discusses a new book by an internationally renowned expert in the field of numerical modeling. It is the book A Primer on Mathematical Modelling, by Alfio Quarteroni and Paola Gervasio. Wick talks enthusiastically about the book and recommends it for undergraduate and graduate students. The second book reviewed here is also aimed primarily at students and deals with modeling in a broader sense. Jürgen Müller praises Henry Ricardo's book on A Modern Introduction to Differential Equations for its many instructive examples. This is followed by a review by Lars Grüne of the book Mathematical Control Theory by Jerzy Zabczyk. Grüne emphasizes the joint treatment of finite- and infinite-dimensional systems as a unique feature. The book Mathematical Models in Epidemiology, by Fred Brauer, Carlos Castillo-Chavez, and Zhilan Feng, covers a very timely topic that has become even more important currently than it was when it was printed two years ago. Reviewer Roslyn Hickson appreciates it as a book she “will likely be referring to \dots for useful examples” in her own teaching. Mathematical Modeling and Computation in Finance, by Cornelis Oosterlee and Lech Grzelak, also deals with modeling. It is reviewed by Alfio Borzì, who emphasizes the interplay of stochastic modeling, probability theory, and numerical analysis as leitmotif. The section is concluded by a review by Anita Layton and Mehrshad Sadria on the book Mining of Massive Datasets, by Jure Leskovec, Anand Rajaraman, and Jeffrey David Ullman. They praise in particular the extensive exercises found in almost every section.