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Strategic Crime and Immigration Information Management System

Strategic Crime and Immigration Information Management System

Objective

People trafficking and People Smuggling has long been a problem for European Governments, adversely affecting the security of their citizens. In many cases women and children are exploited for the sex trade and labour exploitation. In formulating the SCIIMS project the consortium will focus upon an overarching question from which the developed system, demonstration and experimentation will answer: In the European Union context how can new capabilities improve the ability to search, mine, and fuse information from National, trans-national, private and other sources, to discover trends and patterns for increasing shared situational awareness and improving decision making, within a secure infrastructure to facilitate the combating of organised crime and in particular people trafficking to enhance the security of citizens? The programme objectives are: 1) Development and application of information management techniques enabling information to be fused, and shared nationally and trans-nationally within a secure information infrastructure in accordance with EU Crime and Immigration Agencies information needs; 2) Development and application of tools to assist in decision making in order to predict, analyse and intervene with likely people trafficking and smuggling sources, events, and links to organised crime. The SCIIMS Consortium will utilise State of the Art products which will form the platform to develop new innovative capabilities and technologies. This approach is designed to provide the EU with an early exploitation opportunity by the consortium & User Groups. Capabilities and technologies will include: - Data Mining of large data sets utilising a data stream approach. - Information Management, and fusion techniques in order to analyse relationships between different pieces of information. - Web/database semantics tools to provide comprehensive search and retrieval of information. - Decision aids based on self learning probabilistic tools.
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Coordinator

BAE SYSTEMS INTEGRATED SYSTEM TECHNOLOGIES LTD

Address

Warwick House, Po Box 87, Farnborough Aerospace Centre
Gu14 6yu Farnborough

United Kingdom

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 665 427

Administrative Contact

Claire Dance (Ms.)

Participants (8)

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INDRA SISTEMAS SA

Spain

EU Contribution

€ 359 405

COLUMBA GLOBAL SYSTEMS LIMITED

Ireland

DENODO TECHNOLOGIES SL

Spain

EU Contribution

€ 338 869,25

ELSAG DATAMAT S.P.A.

Italy

MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET

Hungary

EU Contribution

€ 252 726,25

UNIVERSIDADE DA CORUNA

Spain

EU Contribution

€ 164 943,20

SELEX SISTEMI INTEGRATI SPA

Italy

EU Contribution

€ 247 707,50

GREEN FUSION LIMITED

Ireland

EU Contribution

€ 289 918,25

Project information

Grant agreement ID: 218223

Status

Closed project

  • Start date

    1 November 2009

  • End date

    31 October 2012

Funded under:

FP7-SECURITY

  • Overall budget:

    € 3 595 562,80

  • EU contribution

    € 2 318 996,45

Coordinated by:

BAE SYSTEMS INTEGRATED SYSTEM TECHNOLOGIES LTD

United Kingdom