AI studied as tool to analyze radicalization drivers

A doctoral dissertation defended on June 29 examined the potential of artificial intelligence to illuminate the multifaceted process of radicalization, a phenomenon shaped by a wide array of interacting variables. The research, conducted by AI scientist Mijke van den Hurk, sought to determine whether machine‑learning techniques could map and analyze the complex interplay of social, psychological, and environmental factors that contribute to extremist pathways.

Van den Hurk’s work, which earned a cum laude distinction, demonstrates that advanced computational models can identify patterns and correlations previously obscured by the sheer volume and heterogeneity of relevant data. By integrating diverse datasets—from online activity logs to demographic indicators—the study provides a methodological framework for scholars and policymakers aiming to develop more nuanced prevention strategies. The successful defense underscores the growing relevance of interdisciplinary approaches that combine AI expertise with social‑science inquiry in addressing contemporary security challenges.