In this discussion, Justin Wang Ngai Yeung, a PhD candidate at the Network Science Institute in London, delves into the intersection of network science and crime. He reveals how graph-based models can uncover key figures in criminal organizations and optimize law enforcement strategies. Key topics include the challenges of inaccurate data, innovative interventions to dismantle networks, and the role of machine learning in revealing hidden connections. Justin also highlights the need for improved data collection methods to better understand organized crime.