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BIG DATA APPLICATIONS FOR MIGRATION - FEASIBILITY STUDY

ESA Open Invitation To Tender AO8644
Open Date: 28/09/2016
Closing Date: 16/12/2016 13:00:00


Status: ISSUED
Reference Nr.: 16.1AA.03
Prog. Ref.: ARTES 20 Phase II
Budget Ref.: E/0520-01C - ARTES 20 Phase II
Special Prov.: BE+DK+FR+DE+IT+NL+CH+GB+IE+AT+NO+FI+PT+LU+CZ+RO+PL
Tender Type: C
Price Range: 100-200 KEURO
Products: Non Space Procurement/Services
Technology Domains: Others
Establishment: ESTEC
Directorate: Directorate Telecom & Integrated Applica
Department: Integrated & Telecom-related Application Department
Division: Applications Demonstration Projects Office
Contract Officer: Melliger, Erich
Industrial Policy Measure: N/A - Not apply
Last Update Date: 28/09/2016
Update Reason: Tender issue

Europe is being confronted with the most significant influxes of migrants and refugees in its history. One burning issue is the lack of timely information on migration trends, flows and rates. This information gap shall be bridged through an holistic approach based on the collection, analysis and integration of any relevant direct and indirect indicators of migration flows. In this context, big data processing applications have been widely recognised as a potentially very powerful tool. The utilisation of big data in support to identifying migration trends is a topic of rapidly increasing interest. Their exploitation in the human migration domain depends on a number of technical and non-technical factors. The objective of the feasibility study is to carry out an analysis of the technical feasibility and commercial viability of big data processing applications in combination with space-based services in order to support the identification of migration flows, and to propose a roadmap for their implementation and demonstration. The activities of the study are the following: 1) Identify the main information and technological gaps at national and EU level relevant to the mitigation, preparedness and response phases of human migration management, 2) Assess the contribution of big data and space-based services / technology to address the identified gaps, 3) Identify services using big data and two or more space assets and define a high-level architecture of the system, 4) Assess the viability of the proposed services, including both economic and non-economic factors, and define a business model and business plan, 5)Propose a roadmap for the implementation and demonstration of the proposed services.

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