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A new way of seeing the essential systems hidden inside our walls, under our streets, and all around us

Infrastructure is a marvel, meeting our basic needs and enabling lives of astounding ease and productivity that would have been unimaginable just a century ago. It is the physical manifestation of our social contract—of our ability to work collectively for the public good—and it consists of the most complex and vast technological systems ever created by humans.

A soaring bridge is an obvious infrastructural feat, but so are the mostly hidden reservoirs, transformers, sewers, cables, and pipes that deliver water, energy, and information to wherever we need it. When these systems work well, they hide in plain sight. Engineer and materials scientist Deb Chachra takes readers on a fascinating tour of these essential utilities, revealing how they work, what it takes to keep them running, just how much we rely on them—but also whom they work well for, and who pays the costs.

Across the U.S. and elsewhere, these systems are suffering from systemic neglect and the effects of climate change, becoming unavoidably visible when they break down. Communities that are already marginalized often bear the brunt of these failures. But Chachra maps out a path for transforming and rebuilding our shared infrastructure to be not just functional but also equitable, resilient, and sustainable. The cost of not being able to rely on these systems is unthinkably high. We need to learn how to see them—and fix them, together—before it’s too late.

The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginning with dramatic advances in quantitative investing and precision medicine, this book explores how predictive technology is quietly reshaping our world in fundamental ways, from crime fighting and warfare to monitoring individual health and elections.

As prediction grows more robust, it also alters the nature of the accompanying risk, setting up unintended and unexpected consequences. The Age of Prediction details how predictive certainties can bring about complacency or even an increase in risks—genomic analysis might lead to unhealthier lifestyles or a GPS might encourage less attentive driving. With greater predictability also comes a degree of mystery, and the authors ask how narrower risks might affect markets, insurance, or risk tolerance generally. Can we ever reduce risk to zero? Should we even try? This book lays an intriguing groundwork for answering these fundamental questions and maps out the latest tools and technologies that power these projections into the future, sometimes using novel, cross-disciplinary tools to map out cancer growth, people’s medical risks, and stock dynamics.