Early Identification of Violent Criminal Gang Members

This week I spoke with Elham Shaabani and Paulo Shakarian (@PauloShakASU) about their recent paper Early Identification of Violent Criminal Gang Members (also available on arXiv). In this paper, they use social network analysis techniques and machine learning to provide early detection of known criminal offenders who are in a high risk group for committing violent crimes in the future. Their techniques outperform existing techniques used by the police.

Guests

Elham Shaabani: Researcher who worked on computational approaches to social networks and criminal-gang analysis, including methods for inferring relationships and group structure from data.

Paulo Shakarian: KG Tan Endowed Professor of Artificial Intelligence at Syracuse University whose research includes logic programming, neurosymbolic AI, machine learning, data mining, metacognition, and AI security.