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Machine Learning for Criminology and Crime Research

- At the Crossroads
Af: Gian Maria Campedelli Engelsk Paperback

Machine Learning for Criminology and Crime Research

- At the Crossroads
Af: Gian Maria Campedelli Engelsk Paperback
Tjek vores konkurrenters priser
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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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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Produktdetaljer
Sprog: Engelsk
Sider: 176
ISBN-13: 9781032109282
Indbinding: Paperback
Udgave:
ISBN-10: 1032109289
Kategori: Årsager & forebyggelse af kriminalitet
Udg. Dato: 29 jan 2024
Længde: 15mm
Bredde: 233mm
Højde: 156mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 29 jan 2024
Forfatter(e): Gian Maria Campedelli
Forfatter(e) Gian Maria Campedelli

Kategori Årsager & forebyggelse af kriminalitet

ISBN-13 9781032109282

Sprog Engelsk

Indbinding Paperback

Sider 176

Udgave

Længde 15mm

Bredde 233mm

Højde 156mm

Udg. Dato 29 jan 2024

Oplagsdato 29 jan 2024

Forlag Taylor & Francis Ltd