Data and Tools to Counter Terrorism

Analysis of security-related event data

In an interconnected world, ideas and experience of emerging threats are quickly shared through propaganda, publications and social media. Event-based assessment of security incidents can help decision-making in quantifying threat levels.

JRC research in this domain focuses on the application of Machine Learning (ML) approaches and use of Large Language Models to data gathered through the Europe Media Monitor (EMM) portal. It covers the areas of terrorism- and extremism-related events and incidents.

Furthermore, in line with the Counter-terrorism agenda for the EU (2022) and the EU's policy on countering the potential threats from non-cooperative unmanned aircraft systems (UAS), it supports the Commission's counter-drone expert group with a specific UAS Incident Database.