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“Mathematization” is a category for books that explore or enact the translation of ideas, systems, and real-world phenomena into mathematical form—through abstraction, formalization, measurement, and modeling. It spans accessible narratives and technical works alike, including introductions and case studies in model building, statistics, dynamical systems, networks, optimization, game theory, and machine learning; histories and philosophies of how fields such as physics, biology, economics, and the social sciences became mathematized; and practical guides to constructing, analyzing, and validating models and simulations. These books illuminate both the power of mathematics to explain, predict, and design and the limits, assumptions, uncertainties, and ethical implications that accompany quantification. The category showcases how equations, algorithms, and data reshape understanding and decision-making across science, engineering, policy, and everyday life.

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