R&D Projects

Number of projects: 83


ongoing

  • Hellenic Network for Precision Medicine - Hellenic Network for Precision Medicine, Subproject 5: «Infrastructures, Tools, and Systems for Organization, Processing, and Analysis of Biomedical Data

    This subproject will develop the overall infrastructure, the platform, and the tools for collection, management and analysis of biomedical data that will support the scale up of the number of diagnostic analysis that can be provided for medical applications as well as for pilot studies and demonstration efforts related to precision medicine research.

    NSRF / ΕΣΠΑ (ΕΠΑΝ ΙΙ)
  • DARE - Delivering Agile Research Excellence on European e-Infrastructures

    DARE (Delivering Agile Research Excellence on European e-Infrastructures) aims to provide scientific communities with a unifying hyper-platform and development context to allow for user-friendly and reproducible carrying out of huge data-driven experiments, and rapid prototyping. DARE specifically addresses the requirements of innovating teams of research developers and scientists, who work on the intersection of software engineering and scientific domains, and on data, complexity and computing extremes.

    H2020
  • Track and Know - Big Data for Mobility Tracking Knowledge Extraction in Urban Areas

    Track&Know will research, develop and exploit a new software framework that aims at increasing the efficiency of Big Data applications in the transport, mobility, motor insurance and health sectors. Stemming from industrial cases, Track&Know will develop user friendly toolboxes that will be readily applicable in the addressed markets, and will be also investigated in additional domains through liaison activities with running ICT-15 Lighthouse projects.

    H2020
  • BigMedilytics - Big Data for Medical Analytics

    There are three main reasons for an immediate innovation action to apply big data technologies in Healthcare. Firstly, a Healthy nation is a Wealthy nation! An improvement in health leads to economic growth through long-term gains in human and physical capital, which ultimately raises productivity and per capita GDP. Secondly, Healthcare is one of the most expensive sectors, which accounts for 10% of the EU’s GDP continuously becoming more expensive.

    H2020
  • SYNTELESIS - Innovative Technologies and Applications Based on Internet of Things and Cloud Computing NSRF / ΕΣΠΑ (ΕΠΑΝ ΙΙ)
  • MSc in Data Science

    This MSc (Master of Science) in Data Science program is the result of a collaboration between the National Centre for Scientific Research "Demokritos" (link is external) and the University of the Peloponnese (link is external).

  • iASiS - Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients

    The vision of IASIS is to turn the wave of data heading our way into actionable knowledge for decision makers. This will be achieved by integrating data from disparate sources, including genomics, electronic health records and bibliography, and applying advanced analytics methods to discover useful patterns. Big Data in healthcare is in its early days, and most of the potential for value creation is being unclaimed. One of the main challenges is the analysis of acquired data.

    H2020
  • ΑΠOΛΛΩΝΙΣ - Εθνική Υποδομή για τις Ψηφιακές Ανθρωπιστικές Τέχνες και Επιστήμες και για την Γλωσσική Έρευνα και Καινοτομία.

    Το υποέργο αφορά στην αναβάθμιση των υπηρεσιών του clarin:el μέσω της επικαιροποίησης/αναβάθμισης των υπαρχόντων εργαλείων και των υπηρεσιών που έχουν ενταχθεί από το ΕΚΕΦΕ ΔΗΜΟΚΡΙΤΟΣ (ΕΚΕΦΕ-Δ), και μέσω του εμπλουτισμού του clarin:el με νέους γλωσσικούς πόρους, υπηρεσίες και πιλοτικές εφαρμογές. Αξιοποιώντας τα αποτελέσματα και τις τεχνολογίες που έχουν αναπτυχθεί από το ΕΚΕΦΕ-Δ σε μια σειρά από ερευνητικά έργα, όπως το «Εθνική Ερευνητική Υποδομή CLARIN EL», το «SentIMAGi», το «YourDataStories»
    και το «BigDataEurope», το ΕΚΕΦΕ-Δ θα υλοποιήσει τις ακόλουθες δράσεις:

    NSRF / ΕΣΠΑ (ΕΠΑΝ ΙΙ)
  • datACRON - Big Data Analytics for Time Critical Mobility Forecasting

    datACRON is a research and innovation collaborative project introducing novel methods for threat and abnormal activity detection in very large fleets of moving entities spread across large geographical areas.

    H2020
  • HOBBIT - Holistic Benchmarking of Big Linked Data

    Linked Data has gained significant momentum over the last years. It is now used at industrial scale in many sectors in which an increasingly large amount of rapidly changing data needs to be processed. HOBBIT is an ambitious project that aims to push the development of Big Linked Data (BLD) processing solutions by providing a family of industry-relevant benchmarks for the BLD value chain through a generic evaluation platform. We aim to make open deterministic benchmarks available to test the performance of existing systems and push the development of innovative industry-relevant solutions.

    H2020

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