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CDSL awarded two new H2020 research projects

  • January 23, 2020


CDSL has been awarded, and will be participating soon as project partner, in two new H2020 research projects:


  • METICOS – A Platform for Monitoring and Prediction of Social Impact and Acceptability of Modern Border Control Technology – METICOS


METICOS aims to introduce Big Data Analysis of border control information systems, in order to provide a step-change towards more modern and efficient Smart Border management and towards gaining societal and political acceptance of modern control technologies of EU borders such as “no gate solutions”. It is therefore positioned as an initiative to create a real-time decision-support system with regard to different Smart Border control technologies that empowers three major stakeholder groups within the European border control sector (i.e., travellers and border control authorities & service providers) to ensure user acceptance, secure positive societal impact and maximize border control process efficiency. To this end, the METICOS project will develop a platform that integrates information systems and networks of data sources in order to validate the efficiency and users’ acceptance of border control technologies like fingerprint and iris scanners. The proposed platform will provide metrics and KPIs to authorities and decision makers, based on a number of independent variables: performance expectancy, effort expectancy, facilitating conditions, physical privacy, accuracy, information privacy, as well as ethical and societal perceptions. To maximize impact of the project, METICOS will join the European Initiative for Smart Borders and contribute aforementioned cross-border and cross-cultural Big Data Analysis and decision support systems that feature harvesting of multi-lingual and cross-sectorial data from heterogeneous sources, different analytics approaches and risk assessment methods.

METICOS will be demonstrated and validated under real operating conditions. This will involve two pilot implementations executed at five different countries involving actors playing the role of real travellers and staff (actors playing the role of border officers). Furthermore, the METICOS ecosystem aims to work closely with other border control research initiatives to demonstrate its operational performance improvements by means of combined validation with these solutions.




  • Search and Rescue: Emerging technologies for the Early location of Entrapped victims under Collapsed Structures and Advanced Wearables for risk assessment and First Responders Safety in SAR operations


Apart from earthquakes that usually result to catastrophic structural collapses, with many people entrapped or killed (e.g. Indonesia 2018, Japan 2011, Haiti 2010, Italy 2009, Greece 1999), there are also other causes that may result into a building’s collapse, such as an accidental explosion or a terrorist attack (e.g. 9/11) in public areas or critical infrastructures (airports etc.). Moreover, natural disasters like earthquakes may trigger technological disasters, such as industrial chemical release or even fires; this dynamic or “domino effect”, as it is called may pose tremendous risks to the countries and communities and hence it is a great challenge to cope with by the first responders and relevant organizations of civil protection.  First responders and rescuers need specialized instrumentations, available to all times, easily accessible that meet stringent requirements in terms of detection accuracy, quick localization, and reduction of false alarms. The S&R project will design, implement and test through a series of large scale pilot scenarios a highly interoperable, modular open architecture platform for first responders’ capitalising on expertise and technological infrastructure from both COncORDE and IMPRESS FP7 projects. The governance model of S&R will be designed to operate more effectively and its architectural structure will allow to easily incorporate next generation R&D and COTS solutions which will be possibly adopted in the future disaster management systems. The Model will also support a unified vision of the EU role and will provide a common framework to assess needs and integrate responses. The framework will enable supportive approach using a wider range of decisional support features and monitoring systems and will also give to first responders an effective and unified vision of (a) the dynamic changes going on during event’s lifetime and (b) the capabilities and resources currently deployed in the field.