1st Edition
Machine Learning for Criminology and Crime Research At the Crossroads
Chapter 1: The "Novelty Narrative": An Unorthodox Introduction
Chapter 2: A Collective Journey: A Short Overview on Artificial Intelligence
Chapter 3: Criminology at the Crossroads? Computational Perspectives
Chapter 4: To Reframe and Reform: Increasing the Positive Social Impact of Algorithmic Applications in Research on Crime
Chapter 5: Causal Inference in Criminology and Crime Research and the Promises of Machine Learning
Chapter 6: Concluding Remarks
Biography
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.
