Terrorism, organised crime and cybercrime are interlinked cross-border challenges in which coordinated EU action is necessary. There is a growing need for Law Enforcement Agencies (LEAs) to analyse multiple heterogeneous data streams and to integrate sociological, psychological and linguistic models with practical ICT tools to better monitor, predict and assess threats.
The mission of PREVISION is to empower the analysts and investigators of LEAs with tools and solutions not commercially available today, to handle and capitalize on the massive heterogeneous data streams that must be processed during complex crime investigations and threat risk assessments.
Trilateral Research’s role in PREVISION is to monitor the development and testing activities to ensure compliance with the relevant ethical and legal requirements, including human rights standards.
PREVISION will provide to LEAs
PREVISION will integrate these developments into a common platform that will be made available for thorough validation and evaluation by real end-users (the ten LEAs and practitioners of the PREVISION consortium) in operational conditions. The integrated PREVISION Platform will be installed into practitioners’ facilities to allow hands-on experimentation under realistic cases, datasets and conditions.
The project aims to establish PREVISION as an open and future-proof platform for providing cutting-edge practical support to LEAs and practitioners in the fight against terrorism, organised crime and cybercrime. PREVISION has the ambition to create extended collaboration between public and private organisations, providing dependable access to trustworthy forensics and threat risk assessment information in compliance with data security and privacy laws.
Please contact our team for more information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833115
You can view the Executive Summary and Table of contents of the Project Solebay Risk Assessment Methodology Report.
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