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Real time network, text, and speaker analytics for combating organized crime

Periodic Reporting for period 1 - ROXANNE (Real time network, text, and speaker analytics for combating organized crime)

Reporting period: 2019-09-01 to 2021-02-28

ROXANNE (Real Time Network, Text, and Speaker Analytics for Combating Organized Crime) is a research and innovation project funded under the EU Horizon2020 Programme that was officially launched on 3-4 September 2019 in Martigny, Switzerland. The three-year project led by the IDIAP research institute brings together 25 partners, including 11 Law Enforcement Agencies (LEAs), SMEs and representatives of industry and academia from 16 countries.
ROXANNE focuses on privacy-aware link analysis and speaker data mining to provide LEAs with an efficient legal framework and technical tools to track and uncover criminals. INTERPOL’s participation will safeguard the developed tools’ compliance with applicable legislation in the area, including with the INTERPOL Rules on the Processing of Data, and explore the potential use of its existing global communications and storage mechanisms to facilitate the speedy exchange of criminal evidence among its 194 member countries.
The technological developments provided in the ROXANNE analytical platform will enable LEAs to achieve a significant increase in the speed of investigation processes and an improvement in the identification of individuals in the scope of criminal cases where large amounts of lawfully intercepted communications are analysed.
The work performed over the first 18 months of the project include:
- analysis of requirements from LEAs related to the investigation of (cross-border)large criminal cases
- analysis of ethical, societal and data privacy concerns related to the technological developments in ROXANNE
- analysis of existing data (i.e. fabricated, simulated or real-data from LEAs) to carry our R&D in AI related tasks
- research and development of audio, video, text processing technologies applicable in the project platform interfaced with the network analysis
- integration aspects including analyses of existing platforms
- new developmnents in construction and analysis of criminal networks, taking into account the prior knowledge and the evidence extracted using AI-related algorithms
- organisation of 1st field-test event, together with several stakeholder board meetings
- communication and dissemination activities in several directions (e.g. close collaboration with existing FCTprojects such as FORMOBILE and LOCARD)
ROXANNE has already published (or prepared for publication) 34 scientific (peer-reviewed) documents that are directly or indirectly related to the project objectives. More specifically, this includes audio, text processing and (criminal) network analysis related publications. ROXANNE's primary goal is to substantially speed up the casework investigation (by moving tiring and time-consuming tasks to machines), thus limiting the time the criminals have for planning further strategies, and making them more vulnerable. Our goal is therefore to make high-level evaluations of the technologies developed in the project as it would be expected by the police practitioners. Performance analyses are planned to be done on material which is as close as possible to the real casework of LEAs.
Example of a criminal network analysis in ROXANNE project
Extract from ROXSD (simulation data) collected in ROXANNE project
Snapshot of the current light version of ROXANNE platform