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The Prize Award Contest on the Copernicus Border Surveillance Service Evolution is now open

The Prize Contest aims at developing Copernicus-based solutions for the provision of a Digital Twin (DT) of the external borders, enabling the virtual representation of specific areas and its associated processes to support the European Border and Coast Guard community in scenario simulations.

The Prize Contest aims at developing Copernicus-based solutions for the provision of a Digital Twin (DT) of the external borders, enabling the virtual representation of specific areas and its associated processes. The Digital Twin is expected to support the European Border and Coast Guard community in scenario simulations, for operational exercises and technical equipment deployment planning.

 

During this Prize Contest, participants shall present creative solutions which will be evaluated to assess their suitability for bridging gaps or improving the capabilities of current CBSS such as timelines, access to data, new paradigms in data fusion, automation, and inclusion of wider sets of complementary, non-EO and EO data. Solutions are expected to also demonstrate their viability for better security and emergency threats monitoring at regional or local level through the exploitation of simulation scenarios.

 

The Prize Contest focuses on developing a Digital Twin model of specific EU border areas to simulate and assess border permeability and efficiency of border surveillance equipment under diverse environmental and seasonal conditions. Participants will use this model to optimise and evaluate the deployment of surveillance equipment, ensuring maximum coverage, effectiveness, and scalability across various terrains. The Prize Contest aims to integrate high-resolution geospatial data and advanced simulation techniques to enhance border management strategies and equipment efficiency.

Deadline for submission of applications: 25 February 2025.

Image Credit: FRONTEX

Kontakt

Anne Birgitte Klitgaard
Fuldmægtig
Tlf.: 72318242
Email: ak@ufm.dk

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Senest opdateret 17. december 2024