152 citations · 278 across the 6 of their papers we have counts for
8 papers
Explainable Machine Learning for Predicting Homicide Clearance in the United States
Gian Maria Campedelli
Purpose: To explore the potential of Explainable Machine Learning in the prediction and detection of drivers of cleared homicides at the national- and state-levels in the United St…
Learning future terrorist targets through temporal meta-graphs
Gian Maria Campedelli, Mihovil Bartulovic, Kathleen M. Carley
In the last 20 years, terrorism has led to hundreds of thousands of deaths and massive economic, political, and humanitarian crises in several regions of the world. Using real-worl…
Temporal Clustering of Disorder Events During the COVID-19 Pandemic
Gian Maria Campedelli, Maria Rita D'Orsogna
The COVID-19 pandemic has unleashed multiple public health, socio-economic, and institutional crises. Measures taken to slow the spread of the virus have fostered significant strai…
Disentangling Community-level Changes in Crime Trends During the COVID-19 Pandemic in Chicago
Gian Maria Campedelli, Serena Favarin, Alberto Aziani +1
Recent studies exploiting city-level time series have shown that, around the world, several crimes declined after COVID-19 containment policies have been put in place. Using data a…
Exploring the Effects of COVID-19 Containment Policies on Crime: An Empirical Analysis of the Short-term Aftermath in Los Angeles
Gian Maria Campedelli, Alberto Aziani, Serena Favarin
This work investigates whether and how COVID-19 containment policies had an immediate impact on crime trends in Los Angeles. The analysis is conducted using Bayesian structural tim…
A Policy-oriented Agent-based Model of Recruitment into Organized Crime
Gian Maria Campedelli, Francesco Calderoni, Mario Paolucci +4
Criminal organizations exploit their presence on territories and local communities to recruit new workforce in order to carry out their criminal activities and business. The abilit…