The setup of scientific training programs in different education institutions is very fragmented, heterogeneous, and characterised by a lack of technological support for scientists, trainees, and students.

All the steps in preparing courses and workshops require manual work, which is repeated each time a new course is held. These steps, in fact, need the training environment to be reset and reconfigured for the next course. Available data processing services and models come under heterogeneous programming languages, which usually require installing complex software on users’ computers. Furthermore, executing models on users’ data usually demands a long phase of data preparation and powerful hardware not always available in the institutions’ laboratories. Sharing data, parameters, and results of experiments is difficult, and collaboration between teachers and students is limited to the duration of the physical course. Furthermore, no instrument exists that currently bridges the scientific and training environments.

BlueBRIDGE boosts education by reducing trainers’ effort in preparing platforms for practical experimentation in courses organised by universities, institutions, and companies that require multidisciplinary data access, curation, and analytics.

Think about the benefits of having a VRE that easily sets up a training environment where students can run experiments and calculations in parallel on a huge amount of datasets, saving their results. Other students can benefit of their research and build upon it! This is not a dream; through the BlueBRIDGE VREs and its underlying powerful infrastructure, this can happen in a matter of hours.

Already, many organisations are using the BlueBRIDGE VREs to set up scientific trainings, among them the International Council for the Exploration of the Sea (ICES), the Italian National Council for Research (CNR), and the Food and Agriculture Organisation of the United Nations (FAO).


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