Predicting Mafia Infiltration: How Machine Learning is Used to Combat Organized Crime in Italy скачать в хорошем качестве

Predicting Mafia Infiltration: How Machine Learning is Used to Combat Organized Crime in Italy

This video explores how researchers are using machine learning to predict mafia infiltration in Italian local governments. By analyzing data on local elections, municipal budgets and public spending, the researchers were able to create a model that accurately predicts which municipalities are most at risk of being infiltrated by the mafia. This information can then be used by law enforcement agencies to prevent infiltration and to disrupt mafia activities. The video also discusses the potential implications of this research for combating organized crime in other countries. 🔍 Source: Campedelli, Gian Maria and Daniele, Gianmarco and Le Moglie, Marco, Mafia, Politics and Machine Predictions (July 01, 2024). Available at SSRN: https://ssrn.com/abstract=4912204 ⚠️ Disclaimer: This podcast is generated by an artificial intelligence. While we strive to provide accurate and up-to-date information, please note that the content is created by an AI and may not always reflect the most current research or developments. These videos are intended for entertainment purposes, focusing on scientific topics and technological innovations. We encourage listeners to verify the information and consult additional sources for a comprehensive understanding.