We foster collaboration and partnership among European innovation programs and initiatives. We organize bilateral events with European partners and contribute to the European Network of National Big Data Centers of Excellence. Furthermore, we provide information on further European initiatives.
European Network of National Big Data Center of Excellence
As part of our European activties, we co-initiated the European Network of Big Data Centers of Excellence. The idea is to foster collaboration and find synergies among the big data competencies in Europe.
Have a look at the overview map for Big Data competencies in Europe!
If you are interested to know more about the European landscape, here you can find a short selection of the most prominent European initiatives and platforms:
The Big Data Value Association (BDVA) is a fully self-financed nonprofit organisation under Belgian law. BDVA wants to establish a Public Private Partnership with the European Commission to develop and implement a strategic roadmap for research, technological development and innovation in the Big Data Value. It also aims at ensuring industrial leadership of providers and users of Big Data Value technologies and establish the excellence of the science base of value creation from Big Data.
Big Data Europe (BDE) sets its focus on big data projects in social key sectors and believes that innovative technologies, strategies and competencies are necessary for the beneficial use of Big Data to adress societal needs. The initiative wants to undertake the foundational work for enabling European companies to build innovative multilingual products and services under a variety of licenses and business models. BDE therefore strives to design and implement and architecture for an infrastructure that meets the requirements of data-intensive science practitioners and takes advantage of the latest European RTD developments, including multilingual data harvesting, data analytics, and data visualization.
The European Data Market Study aims at defining, assessing and measuring the European data economy, supporting the achievement of the Data Value Chain policy of the European Commission. This strategy is focused on developing a vibrant and innovative data ecosystem of stakeholders driving the growth of this innovative market by moving from disparate communities to a genuine stakeholders’ ecosystem. The main results of this study will feed into the annual reviews of the Digital Agenda Scoreboard providing valuable data and information.
The Horizon 2020 EDISON project aims at establishing the data scientist as a profession. This will be achieved by aligning industry needs with available career paths, and supporting academies in reviewing their curricula with respect to expected profiles, required expertise and professional certification.
EDISON Data Science Framework (EDSF)
The EDFS is a collection of documents that define the Data Science profession. Freely available, these documents have been developed to guide educators and trainers, employers and managers, and Data Scientists themselves.
The European Data Science Academy (EDSA) will establish a virtuous learning production cycle for Data Science, and will analyse the sector specific skillsets for data analysts across Europe’s main industrial sectors. It aims at developing modular and adaptable curricula to meet these Data Science needs and delivering training supported by multiplatform and multilingual learning resources based on these curricula. As part of EDSA, initiatives will be structured into integrated learning pathways, translated into European languages, and expanded to meet the requirements for specific sectors.
The European Association for Data Science (EuADS) aims at providing a forum for research, scientific conduct, promoting transparent access to data, policy making as well as supporting young scientists. Scientifically, the Association promotes the development of models, methods and instruments of data science and provides a unique environment for the presentation and discussion of new methods and models in this field. With regard to networking, it aims at bringing together stakeholders and decision makers in this field to address the challenges of data science in the 21st century. Future activities will include conferences, summer schools and thematic workshops.
CLAIRE stands for “Confederation of Laboratories for Artificial Intelligence Research in Europe” and is the coalition of leading research institutes and researchers for artificial intelligence in Europe. CLAIRE was initiated by Phillip Slusallek, scientific director at German Research Center for Artificial Intelligence, as well as by Holger Hoos (Universiteit Leiden) and Morten Irgens (Oslo Metropolitan University). They soon garnered the support of more than 1000 AI experts and can build upon a letter of intend, signed by 25 European countries, which agreed to strengthen research and foster collaborations.
Although CLAIRE is not a formally structured organisation yet, the strong support from the european research community shows that it hast the potential to become a major hub for AI research in Europe.
Many of today’s debates about AI are based on opinions, hearsay andassumptions – not always on facts and science. To ensure quality input and to inform policy-making, the Commission has set up this knowledge service, AI Watch, to monitor the development, uptake and impact of Artificial Intelligence for Europe.
It will monitor and assess European AI landscapes from driving forces to technology developments, from research to market, from data ecosystems to applications.