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Datafication books examine how people, organizations, and the physical world are increasingly turned into data—and how that data is collected, traded, analyzed, and used to shape decisions. This category spans the infrastructures that generate data (sensors, platforms, biometrics, digital exhaust), the business models and ecosystems that monetize it, and the analytics and AI systems that act on it. It probes the social, legal, and ethical stakes—privacy, power, labor, bias, equity, and democratic accountability—through case studies across domains such as health, finance, education, policing, media, and smart cities. Titles range from technical and managerial guides to history, reportage, and critical theory, offering both practical playbooks for data-driven practice and rigorous critiques of surveillance and platform capitalism.

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