216 citations · 547 across the 16 of their papers we have counts for
16 papers
Generative AI collective behavior needs an interactionist paradigm
Laura Ferrarotti, Gian Maria Campedelli, Roberto Dessì +7
In this article, we argue that understanding the collective behavior of agents based on large language models (LLMs) is an essential area of inquiry, with important implications in…
A Criminology of Machines
Gian Maria Campedelli
While the possibility of reaching human-like Artificial Intelligence (AI) remains controversial, the likelihood that the future will be characterized by a society with a growing pr…
Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales
Ariadna Albors Zumel, Michele Tizzoni, Gian Maria Campedelli
Objectives: To develop a deep learning framework to evaluate if and how incorporating micro-level mobility features, alongside historical crime and sociodemographic data, enhances…
Reducing Cartel Violence: The Mexican Dilemma Between Social and Security Spending
Rafael Prieto-Curiel, Dieter Grass, Stefan Wrzaczek +3
Organised crime in Mexico threatens societal stability and public safety, driving pervasive violence and economic disruption. Despite security investments and social programs desig…
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy
Gian Maria Campedelli, Nicolò Penzo, Massimo Stefan +4
As LLM-based agents become increasingly autonomous and will more freely interact with each other, studying the interplay among them becomes crucial to anticipate emergent phenomena…
Reducing cartel recruitment is the only way to lower violence in Mexico
Rafael Prieto-Curiel, Gian Maria Campedelli, Alejandro Hope
Every year, Mexican cartels lose many members due to conflict with other cartels and arrests. Yet, despite their losses, cartels have managed to increase violence for years. We add…
Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science
Massimiliano Luca, Gian Maria Campedelli, Simone Centellegher +2
Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summ…
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…
Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations
Gian Maria Campedelli, Iain J. Cruickshank, Kathleen M. Carley
Capturing dynamics of operational similarity among terrorist groups is critical to provide actionable insights for counter-terrorism and intelligence monitoring. Yet, in spite of i…
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…
A Complex Networks Approach to Find Latent Clusters of Terrorist Groups
Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley
Given the extreme heterogeneity of actors and groups participating in terrorist actions, investigating and assessing their characteristics can be important to extract relevant info…
Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Research on Crime
Gian Maria Campedelli
Research on Artificial Intelligence (AI) applications has spread over many scientific disciplines. Scientists have tested the power of intelligent algorithms developed to predict (…