RAI 3 TGR-Leonardo highlights Campedelli, Daniele, and Le Moglie’s research on predicting Mafia infiltration

The RAI 3 science news program TGR-Leonardo recently featured research on a predictive algorithm designed by our economists, to identify Italian municipalities at risk of mafia infiltration.

The segment focuses on the paper Mafia, Politics and Machine Predictions by Gian Maria Campedelli, Gianmarco Daniele, and Marco Le Moglie. This study combines machine learning techniques and financial data from local administrations to detect early signs of organized crime infiltration. The feature highlights how academic research and data-driven tools can contribute to the fight against organized crime.

Watch the full segment (in Italian) here: RAI TGR-Leonardo