Projects about Building a European data economy

The EU-funded project INSENSION is designing and developing an ICT platform that enables persons with profound and multiple learning disabilities to use digital services. To do so, it uses advanced technologies such as artificial intelligence and the internet of things.

Cutting-edge software technology developed by the European project CLASS is now being tested on connected cars in the Modena Automotive Smart Area (MASA), a real urban laboratory in northern Italy. The CLASS framework is powering compelling smart city applications, from digital traffic signs and smart parking to air pollution simulation and pedestrian avoidance applications.

In 2019, 10 public research organisations from 7 EU countries completed the EU funded Helix Nebula Science Cloud pre-commercial procurement (HNSciCloud) and kick-started the uptake of new cloud-based systems with big data storage and analysis tools needed by large scientific projects. The HNSciCloud consortium won the 2019 Procura+ Award ‘outstanding innovation procurement in ICT’. May 2020, an extended buyers group of 40 countries started buying the larger rollout across Europe of cloud research services based on the HNSciCloud results.

Research and education communities should take full benefit of already existing fastest data networks and trusted identity services provided by Géant.

The EU-funded project HiPEAC has released its annual vision report, which analyses the challenges that the computing sector faces and how technologies will evolve in the future.

International collaboration is a driving force behind innovation, but for cooperation to occur effectively researchers must be able to securely and efficiently share resources, data and knowledge. An EU-funded project is proposing technical solutions and guidance to achieve unprecedented international interoperability between research communities.

The call 5 of the FP7 Information and Communication Technology Research Programme was published in June 2009. The objective entitled "Internet of services, Software and Virtualisation" had a total budget of 109.9 million euros that allowed selecting twenty eight proposals.

Digital technologies have transformed nearly every aspect of how research is conducted, how scientists think, and how research data are used and shared. To make the most of this evolution, the EU-funded EDISON project has developed tools to boost data science education and encourage the emergence of the profession of data scientist.

The Research Data Alliance (RDA) aims to build the social and technical bridges that enable open sharing and re-use of data on a global level, which will certainly boost the EU Open Science Strategy. To do so, the participation of students and early career professionals are strongly encouraged as they bring alternative perspectives enriching the discussion.

The EU-funded MAESTRA project invented a solution to big data complexity in machine learning (ML) systems, which was up to now an untameable challenge. Structured big data-based predictions can generate wonderful answers to questions in medicine, sociology, natural resources and energy, biology and many more disciplines. However, large raw data fed to the machines often comes from different sources, are unstructured, streaming at rates too high for the machine to deal with, or all of the above. Newly published results of Sašo Džeroski's MAESTRA project team offer a solution.