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REMEDIA ITALIA SRL

Country: Italy

REMEDIA ITALIA SRL

2 Projects, page 1 of 1
  • Funder: EC Project Code: 101006275
    Overall Budget: 311,625 EURFunder Contribution: 311,625 EUR

    InnEO’Space_PhD project aims at preparing post-graduate candidates and early stage researchers for a successful career through modernised and transferable PhD courses based on innovation skills and employers’ needs. To achieve this, the project will enhance and develop researchers’ innovation-oriented mind-sets and skills through Earth Observation, that offers a multidisciplinary approach and numerous applications in various sectors (environment, climate change, crisis management…). By converging to a joint PhD profile, synergies between universities will be enhanced to promote exchanges and mobility. The project will also create new synergies between: - PhD students and researchers and potential employers, and, - the universities and the private sector. Indeed, the consortium will collaborate with companies, SMEs and clusters to develop the activities, enhance PhD students and early sThe aim of the Open Science innovation in PhD programme through Earth Observation is to prepare young researchers for a successful career by developing modernised PhD courses based on innovation skills and employers’ needs. By implementing four pilots at a large scale and across Europe in the multidisciplinary case of Earth-Observation science applications, the consortium will get a broad mapping of best practices to develop a e-learning course and a PhD career tool kit that will remain accessible after the end of the project. The e-learning course will then be a useful tool for any university, which wants to foster new careers for PhD students and researchers from any domain by providing them with transferable skills to fit the European industry and stakeholder needs other than academic labs. The InnEO’Space_PhD shall stand for a special academic excellence for future scientific leaders in any field related to EO, enlarging their training and experience with soft skills, environment monitoring, open science and entrepreneurship, that are needed elements for innovation at any level.

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  • Funder: EC Project Code: 101021673
    Overall Budget: 6,065,820 EURFunder Contribution: 4,997,560 EUR

    Maritime Domain Awareness is the combination of activities, events and threats in the maritime environment that could have impact on marine activities and EU territory. During the past decades, advances in Information and Communication Technologies have provided better means to monitor and analyse vessel activity. Today private and public source of data such the Automatic Identification System or space related data can be combined with Vessel Traffic Services, Vessel Traffic Management Systems and Vessel Traffic Monitoring & Information Systems data enabling the development of value added information resulted by the combination of such data. European waters are navigated daily by some 12,000 vessels, which share their positions to avoid collisions, generating a huge number of positional messages every month. It is important that this overabundance of information will not overwhelm the marine operator in charge for decision-making. The challenge is twofold: on one side encourage the exchange of heterogeneous data among administration valorising the CISE network currently in place, on the other exploit at the best these datasets by means of automated processing in a way to minimise false alert that might results by an incorrect processing or interpretation of the results. PROMENADE will improve solutions for the vessel tracking, behaviour analysis and automatic anomaly detection by means of the application Artificial Intelligence (AI) and Big Data (BD) technologies, and to promote collaborative exchange of information between maritime surveillance authorities, shortening the time to market and assuring the compliance with legal and ethical regulations. An open, service-based toolkit implementing “state of art” AI / BD techniques also benefiting of HPC (High Performance Computing) platform is the core activity of the project. The project’s developments will be demonstrated and evaluated in 3 operational scenarios and 1 simulated defined by Border Guards Authorities.

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