- National Institute of Justice-funded researchers developed a new analytical method using machine learning to understand how individuals move toward violent extremism.
- The method identifies clusters of traits associated with possible pathways to terrorist acts, challenging common assumptions about violent extremism and homegrown individuals motivated to support violent jihadist ideologies.
- The study departs from profiling based on demographic profiles of extremist individuals and uses a “Human-in-the-Loop” system to assist in data analysis and code data faster, transforming textual data into a graph database.
- The research validates the premise that radicalization is a product of deepening engagements that occur incrementally, leading to violent extremist actions marked by violence in the name of ideology. Read More
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