- ROXANNE: Real time netwOrk, teXt, and speaker ANalytics for combating orgaNized crime
- Privacy and data protection regulations are a key element of the project
- The project started in September 2019 and will run for 36 months.
The ROXANNE project is led by the Idiap Research Institute and involves a consortium of 24 partners across 16 countries, including 10 law enforcement agencies, as well as representatives from industry and academia.
ROXANNE seeks to efficiently identify and track criminals via speech, text and video data, combined with the analysis of organized crime networks. The end product will be an advanced technical platform which uses new tools to uncover and track organized criminal networks, underpinned by a strong legal framework.
The project’s mission is based on six objectives:
- The development of an analytical platform which will enhance investigation capabilities;
- Improved identification of persons of interest through the development of innovative speaker identification technologies and criminal network analysis;
- Enhanced criminal network analysis technology, resulting in actionable decision-making;
- A dashboard to enable the visualization of investigative output;
- The deployment and evaluation of the ROXANNE platform on real criminal cases;
- Compliance with EU and INTERPOL legal and ethical frameworks.
The main target audience and beneficiaries of the ROXANNE project are law enforcement agencies in the EU and around the world.
The project will:
- Develop privacy-aware technologies and legal tools for fighting both old and new forms of crime;
- Reduce investigative costs by reducing the amount of data investigators must analyze and review;
- Improve criminal network analysis, leading to a more refined identification of persons of interest;
- Enhance the usability of technical tools developed within the scope of the project;
- Generate greater information exchange between INTERPOL member countries.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833635.