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Innovation 2: Command and control systems in border and customs domains
Price
Duration
CONNECTOR will design and deliver an integration platform, which will emulate the existing Command & Control (C2) systems used by Customs and Border Authorities. The project will develop further a system, which has already been tested in both maritime and land environments and is fully compatible with CISE and e-CISE.
The overall goal of the CONNECTOR solution is to showcase the potential of CISE across all of the different sectors, demonstrating that it will be possible for it to be embedded in any C2 system, regardless of the area of operation. Most important of all is that this will pave the way for existing Customs practitioners to join the CISE network with minimal effort.

Innovation 3: Common Risk Assessment tools & Natural Language Processing (NLP)
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Duration
Authorities responsible for Integrated Border Management (IBM) in the EU already have risk assessment processes and systems in place to protect citizens from a set of risks, although they are owned and operated separately.
CONNECTOR will introduce a shared risk assessment mechanism, correlating different risk indicators that will enable the automatic exchange of data and sharing of risk assessment outcomes. The ultimate scope of CONNECTOR will be to design, adapt and integrate the necessary elements for the Risk Assessment and Natural Language Processing (NLP) components into the final technological solution.

Innovation 4: Decision Support System dedicated to Customs and Border Guards
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Duration
National customs administrations in the EU form the operational backbone of the EU Customs Union. Currently, the Union Customs Code (UCC) is in place and there are defined specifications for the IT systems implemented by all countries.
CONNECTOR is developing a Decision Support System that will help Customs officers to make better-informed decisions with improved information and greater situational awareness. The benefits of the system mean that Customs will be able to (i) facilitate legal trade and the free movement of people by reducing waiting times at the border, (ii) help officers to allocate resources to identified key areas and (iii) utilise machine learning to continually auto-improve the system.