Shaping the European Big Data landscape:
from i-Spaces and Centers of Excellence to
Big Data Digital Innovation Hubs
Wednesday 14th / 10:30h - 12:30h
Siemens Conference Center Vienna
Meeting Room to be confirmed
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…).
Univ.-Prof. Dr Stefanie Lindstaedt is the Head of the Institute for Interactive Systems & Data Science (ISDS) at Graz University of Technology and CEO of Know-Center (www.know-center.at), Austria‘s leading Research Center for Data-driven business and Big Data Analytics. By annually undertaking more than 50 applied science projects Know-Center effectively bridges the gap between science and industry, already since 2001.
Edward Curry is currently a research leader at the Insight Centre for Data Analytics and at LERO The Irish Software Research Centre. His research interests are predominantly in open distributed systems, particularly in the areas of incremental data management, approximation, and unstructured event processing, with a special interest in applications for smart environments and data ecosystems. His research work is currently focused on engineering adaptive systems that are a foundation of smart and ubiquitous computing environments. He is a Vice President of the Big Data Value Association—a non-profit industry-led organization with the objective of increasing the competitiveness of European Companies with data-driven innovation. He is a Lecturer in Informatics at the National University of Ireland Galway.
Daniel Alonso received the B.S. in Telecommunications Engineering from the Universidad Politécnica de Madrid, Spain, in 1994, and the M.Sc. in Electrical Engineering from the Universidad de Valencia, in 2011 (Master Special Award). Daniel has worked as a project and business manager in different companies in the fields of communications and information systems, and as a researcher at the University of Valencia and the University of Agder, participating in several national and European projects. Daniel is currently working as Project Manager at the Technological Institute of Valencia (ITI), in the Strategic and Competitive Intelligence (SCI) department.