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Machine Learning for Criminology and Crime Research

At the Crossroads
TaschenbuchKartoniert, Paperback
194 Seiten
Englisch
Taylor & Franciserschienen am29.01.2024
Machine Learning for Criminology and Crime Research reviews the roots of the intersection between machine learning, Artificial Intelligence, 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.mehr
Verfügbare Formate
BuchGebunden
EUR182,50
TaschenbuchKartoniert, Paperback
EUR51,50
E-BookEPUB0 - No protectionE-Book
EUR53,99
E-BookPDF0 - No protectionE-Book
EUR53,99

Produkt

KlappentextMachine Learning for Criminology and Crime Research reviews the roots of the intersection between machine learning, Artificial Intelligence, 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.
Details
ISBN/GTIN978-1-032-10928-2
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2024
Erscheinungsdatum29.01.2024
Seiten194 Seiten
SpracheEnglisch
Gewicht306 g
Illustrationen7 SW-Abb., 7 SW-Zeichn., 7 Tabellen
Artikel-Nr.13050993

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1: The "Novelty Narrative": An Unorthodox IntroductionChapter 2: A Collective Journey: A Short Overview on Artificial IntelligenceChapter 3: Criminology at the Crossroads? Computational PerspectivesChapter 4: To Reframe and Reform: Increasing the Positive Social Impact of Algorithmic Applications in Research on CrimeChapter 5: Causal Inference in Criminology and Crime Research and the Promises of Machine LearningChapter 6: Concluding Remarksmehr

Autor

Gian Maria Campedelli is a Postdoctoral Research Fellow in Computational Sociology and Criminology at the University of Trento, Italy. In 2020, he earned a PhD in Criminology from Catholic University in Milan, Italy. From 2016 to 2019 he worked as a researcher at Transcrime, the Joint Research Center on Transnational Crime of Catholic University, University of Bologna, and University of Perugia. In 2018 he was also a visiting research scholar in the School of Computer Science at Carnegie Mellon University, in Pittsburgh, the United States. His research addresses the development and application of computational methods - especially machine learning and complex networks - to the study of criminal and social phenomena, with a specific focus on organized crime, violence, and terrorism.
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Campedelli, Gian Maria