Shaping the European Big Data landscape: from i-Spaces and Centers of Excellence to Big Data Digital Innovation Hubs (Workshop 1.3)
SESSION DESCRIPTION & OBJECTIVES
BDVA Data Innovation Spaces and Big Data Centers of Excellence are consolidated initiatives at European level aimed at providing an ecosystem that guarantees companies, especially SMEs and start-ups, access to latest knowledge, expertise and technology in the fields of Big Data and Artificial Intelligence. More specifically, BDVA i-Spaces are cross-organizational and cross-sectorial hubs aimed at ensuring that research on BDV technologies and novel BDV applications are quickly tested, piloted and exploited in a pre-competitive context, bringing technology and application development together, and fostering skills, competence, and best practices on Big Data, while Big Data Centers of Excellence are organisations or organisational units within a national system of research and education that provide leadership in research, innovation and training for Big Data technologies.
On the other hand, Digital Innovation Hubs are the mechanisms that the European Commission has devised to foster the digital transformation within the existing industry, with the aim of being considered as the one-stop-shop to provide services to companies at regional level through a multi-partner cooperation.
In this workshop, we will explore ways of collaboration between BDVA Data Innovation Spaces, Big Data Centers of Excellence and other existing initiatives, so they can offer companies a complete ecosystem to improve their business, production processes, products and services on Big Data and Artificial Intelligence, keeping them aligned with the concept and objectives with the DIH in Big Data, and with the ultimate objective of building a federation between the different initiatives at European level.
More specifically, the following questions will be addressed during the session:
- Building the community: from a federation of EU Data i-Spaces and CoEs to a network of DIHs.
- Beating the barriers: how to overcome barriers for constructing the network?
Boosting the impact: how to maximize and measure the impact of a federated network?
- The session will be planned to foster the participation of the audience in an interactive format that allow to gather their insights, experiences and comments.
The outcome of the session will be three-fold: conclusions could be used as contributions for future calls (specially the topic DT-ICT-05-2020 Big Data DIHs), the session will reinforce several of the pillars that BDVA has identified as crucial in a post-H2020 scenario, and contribute to the update of the BDVA SRIA, and participants will exchange ideas on how to establish an European network / federation of initiatives linking different capacities (experimentation, incubation, skills, etc …) and technologies (Big Data, HPC, AI, IoT…).
- Stefanie Lindstaedt (Know-Center)
- Edward Curry (Insight, BDVe project)
- Julia Palma (Eurecat, BDVA TF4-SG1)
- Daniel Alonso (ITI, BDVA TF4-SG1)