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Machine Learning for Criminology and Crime Research - At the Crossroads (Hardcover)
Loot Price: R4,139
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Machine Learning for Criminology and Crime Research - At the Crossroads (Hardcover)
Series: Routledge Advances in Criminology
Expected to ship within 12 - 17 working days
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Machine Learning for Criminology and Crime Research: At the
Crossroads reviews the roots of the intersection between machine
learning, artificial intelligence (AI), and research on crime;
examines the current state of the art in this area of scholarly
inquiry; and discusses future perspectives that may emerge from
this relationship. As machine learning and AI approaches become
increasingly pervasive, it is critical for criminology and crime
research to reflect on the ways in which these paradigms could
reshape the study of crime. In response, this book seeks to
stimulate this discussion. The opening part is framed through a
historical lens, with the first chapter dedicated to the origins of
the relationship between AI and research on crime, refuting the
"novelty narrative" that often surrounds this debate. The second
presents a compact overview of the history of AI, further providing
a nontechnical primer on machine learning. The following chapter
reviews some of the most important trends in computational
criminology and quantitatively characterizing publication patterns
at the intersection of AI and criminology, through a network
science approach. This book also looks to the future, proposing two
goals and four pathways to increase the positive societal impact of
algorithmic systems in research on crime. The sixth chapter
provides a survey of the methods emerging from the integration of
machine learning and causal inference, showcasing their promise for
answering a range of critical questions. With its transdisciplinary
approach, Machine Learning for Criminology and Crime Research is
important reading for scholars and students in criminology,
criminal justice, sociology, and economics, as well as AI, data
sciences and statistics, and computer science.
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