Gian Maria Campedelli is a postdoctoral research fellow in Computational Sociology and Criminology at the University of Trento. He holds a Ph.D. in Criminology from Università Cattolica in Milan, and from 2016 to 2019 he worked as a research fellow at Transcrime – the Joint Research Centre on Transnational Crime of Università Cattolica, University of Bologna and University of Perugia. In 2018 he also held a visiting research scholar position at Carnegie Mellon University – School of Computer Science. His research interests focus on the development and application of computational methods for the study of terrorism and organized crime, with specific expertise in complex networks and machine learning.
Scientific articles on COVID-19 and crime
• Campedelli, G. M., Favarin, S., Aziani, A., & Piquero, A. R. (2020) Disentangling community-level changes in crime trends during the COVID-19 pandemic in Chicago, Crime Science, 9 (21): 1-18
https://link.springer.com/article/10.1186/s40163-020-00131-8
• Campedelli, G. M., Aziani, A., & Favarin, S. (2020) Exploring the Immediate Effects of COVID-19 Containment Policies on Crime: an Empirical Analysis of the Short-Term Aftermath in Los Angeles, American Journal Of Criminal Justice, https://doi.org/10.1007/s12103-020-09578-6 https://link.springer.com/article/10.1007/s12103-020-09578-6
• Campedelli,G. M., & D’Orsogna, M. R. (2021). Temporal clustering of disorder events during the COVID-19 pandemic. PLOS ONE, 16(4), e0250433. https://doi.org/10.1371/journal.pone.0250433