Architectures and organizations, big data and data analytics for customs risk management

of the international goods supply chain trade movements

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Domaine de recherche :
Sécurité
Type de financement :
H2020
Type d'instrument :
Recherche & Innovation Action
Budget indicatif :
5M€
Budget total :
10M€
Code de l'appel : SEC-17-BES-2017
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Scope:

Risk management of the movement of goods through the international supply chain requires identifying, evaluating and analysing the full range of largely diverse threats and risks associated with goods and their movements, at the EU, national, and intercontinental levels. It starts with the identification, by the custom authorities themselves, of the most serious risks, so that necessary controls are carried out at the most appropriate time and place.

Strategies and tools are needed for the timely submission to customs authorities of relevant high-quality and comprehensive data on goods moving and crossing borders, whilst taking into consideration the national and EU legal, procedural and IT systems where they exist. Realistic methodologies and organisations need to develop, that facilitate collaboration among the relevant authorities (not only customs but also law enforcement, transport, security and border control agencies). Data governance policies and mechanisms for data sharing need to be agreed internationally.

Common repositories that take advantage of existing instruments such as the Advance Cargo Information System (advance electronic notification of cargo coming into EU before it leaves the third country) which are under-utilised and under-exploited for risk management purpose, can support the intelligent use and management of complex and large amount of data, exploiting unstructured data, supporting operational and situational awareness of customs authorities, adding intelligence (trends analysis, correlation analysis, etc.) by means of state-of-the-art technologies including in the fields of Big Data, Data Analytics, Data mining, Visualization, Intelligent User's Interfaces, Insight knowledge and knowledge representation, artificial intelligence, automatic language translation. The governance of access to such repositories need to be addressed.

 

Présence de partenaires internationaux indispensable