Artículo: AMZ-B0FXD5JC3M

Lone Wolf Logic: Decoding Domestic Terrorism Through AI and Data Science

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  • Lone Wolf Logic: Decoding Domestic Terrorism Through AI and Data Science by Joe B. Williams, PhDLone-wolf terrorism has become the dominant face of modern extremism—accounting for more than ninety percent of recent fatal attacks in the West. These actors operate in operational solitude, leaving almost no traditional intelligence footprints: no co-conspirators, no chatter, and no centralized network to monitor.Lone Wolf Logic bridges the gap between counterterrorism and data science, revealing how big data, machine learning, and real-time analytics can uncover the hidden signals of radicalization. Dr. Williams combines quantitative precision with social-science insight, showing how psychology, sociology, and policy can merge with AI-driven models to anticipate and prevent violence before it occurs.Drawing on real-world case studies, emerging technologies, and ethical frameworks, this groundbreaking work outlines a data-informed roadmap for policymakers, analysts, and communities. It is both a technical guide and a moral call—to use the tools of the data age without losing sight of liberty, privacy, and human context.Insightful, urgent, and deeply interdisciplinary, Lone Wolf Logic redefines how nations confront the most elusive threat of our time.
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