Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Campedelli, Gian Maria"'
Autor:
Campedelli, Gian Maria, Penzo, Nicolò, Stefan, Massimo, Dessì, Roberto, Guerini, Marco, Lepri, Bruno, Staiano, Jacopo
As Large Language Model (LLM)-based agents become increasingly autonomous and will more freely interact with each other, studying interactions between them becomes crucial to anticipate emergent phenomena and potential risks. Drawing inspiration from
Externí odkaz:
http://arxiv.org/abs/2410.07109
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 address this puzzle by leveraging data on the number of homicides, missin
Externí odkaz:
http://arxiv.org/abs/2307.06302
Autor:
Luca, Massimiliano, Campedelli, Gian Maria, Centellegher, Simone, Tizzoni, Michele, Lepri, Bruno
Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summarized in the United Nations' Sustainable Development Goals (SDGs). Th
Externí odkaz:
http://arxiv.org/abs/2212.07676
Autor:
Campedelli, Gian Maria
Publikováno v:
Journal of Criminal Justice, 79 (2022)
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 States. Methods: First, nine algorithmic approaches are compared to asse
Externí odkaz:
http://arxiv.org/abs/2203.04768
Publikováno v:
Terrorism and Political Violence, 0(0), 1-20 (2021)
Capturing dynamics of operational similarity among terrorist groups is critical to provide actionable insights for counter-terrorism and intelligence monitoring. Yet, in spite of its theoretical and practical relevance, research addressing this probl
Externí odkaz:
http://arxiv.org/abs/2112.07998
Publikováno v:
Sci Rep 11, 8533 (2021)
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-world data on attacks occurred in Afghanistan and Iraq from 2001 to 2018,
Externí odkaz:
http://arxiv.org/abs/2104.10398
Publikováno v:
PLOS ONE, 16(4), e0250433 (2021)
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 strain between authorities and citizens, leading to waves of social unrest
Externí odkaz:
http://arxiv.org/abs/2101.06458
Publikováno v:
Crime Sci 9, 21 (2020)
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 at the community-level in Chicago, this work aims to advance our unders
Externí odkaz:
http://arxiv.org/abs/2011.05658
Publikováno v:
Am J Crim Just (2020)
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 time-series and focuses on nine crime categories and on the overall crime
Externí odkaz:
http://arxiv.org/abs/2003.11021