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Welcome to my personal webpage!

Hello! I am Gian Maria Campedelli, Research Scientist in the MobS Lab at Fondazione Bruno Kessler, in Italy.

Interested in crime and computational sciences? You might be in the right place then.

In February 2020, I obtained a Ph.D. in Criminology at Università Cattolica del Sacro Cuore (Milan).

From 2020 to 2023, I was a Postdoctoral Research Fellow in Computational Sociology at the University of Trento, funded by the Department of Excellence initiative of the Italian Ministry of University and Research.

I am also a former researcher at Transcrime and former visiting research scholar at Carnegie Mellon University (Institute for Software Research - Center for Computational Analysis of Social and Organizational Systems), under the supervision of Prof. Kathleen M. Carley.

Any curiosity? Write at:

gcampedelli AT fbk.eu

You can find my works/projects also on Google Scholar (https://scholar.google.com/citations?user=7n4yK_0AAAAJ&hl=it) and ResearchGate (https://www.researchgate.net/profile/Gian_Maria_Campedelli)

NEWS & HIGHLIGHTS:

November 2025: I was invited as a speaker at TEDx Geneva! I will talk about how AI can help us fighting corruption.
October 2025: can we use AI to effectively mitigate the consequences of crises, natural disasters and violent attacks? Check out our new pre-print, entitled "CrisiText: A dataset of warning messages for LLM training in emergency communication". (co-authored with Giacomo Gonella, Stefano Menini and Marco Guerini): Link
September 2025: Very happy that the article "Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales", co-authored with Ariadna Albors Zumel (whom I advise as PhD student) and Michele Tizzoni has been published (open access) at the Journal of Quantitative Criminology. Read it here: Link
October 2024: Pre-print out: "I want to break free! Persuasion and anti-social behavior of LLMs in multi-agent settings with social hierarchy". Co-authored with a bunch of brilliant computer scientists and computational linguists! Check it here: Link
August 2024: WONDERFUL NEWS! I am honored to share that I won the 2024 Early Career Award from the European Society of Criminology! 🎉 Read the jury motivations here.
August 2024: New working paper out with Gianmarco Daniele and Marco Le Moglie. Can we use machine learning to predict mafia infiltration in local politics? "Mafia, Politics and Machine Predictions" has the answer: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4912204.
March 2024: My solo paper "Homicides involving Black victims are less likely to be cleared in the United States" is finally out in Criminology! Read it here: https://onlinelibrary.wiley.com/doi/abs/10.1111/1745-9125.12362 . (Check out also what The Guardian says about it!).
November 2023: The article "Organized Crime, Violence and Support for the State", co-authored with Gianmarco Daniele, Andy Martinangeli and Paolo Pinotti has been published in the Journal of Public Economics (See: https://www.sciencedirect.com/science/article/abs/pii/S0047272723002116 )
September 2023: Exciting news! The article "Reducing cartel recruitment is the only way to lower violence in Mexico", a joint work with Rafael Prieto-Curiel and Alejandro Hope, is now out in Science! Here's the open access article: https://www.science.org/doi/10.1126/science.adh2888
June 2023: The article "Evidence on the impact of the Prudential Center on crime in downtown Newark", co-authored with Eric Piza (Northeastern), Alex Piquero (U Miami) and Justin Kurland has been published in the Journal of Experimental Criminology. Read the paper here (open access): https://link.springer.com/article/10.1007/s11292-023-09576-8

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