Our participation to European projects.
- Program: HORIZON-CL4-2022-HUMAN-02-02
Project acronym: dAIedge (September 2023 – August 2026)
Project title: A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge
The dAIEDGE Network of Excellence seeks to strengthen and support the development of the dynamic European edge AI ecosystem under the umbrella of the European AI Lighthouse and to sustain the advanced research and innovation of distributed AI at the edge as essential digital, enabling, and emerging technology in an extensive range of industrial sectors.
- Program: H2020-MSCA-RISE
Project acronym: TESTBED2 (February 2020 – June 2025)
Project title: Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD DeploymentGlobal Coordinator: Durham University (UK)
Local Coordinator: Inria (France)
Abstract: TESTBED2 is a major interdisciplinary project that combines techniques from three academic disciplines – Electronic & Electrical Engineering, Computing Sciences and Macroeconomics, for developing new techniques to improve the scalability of smart grid services, particularly considering the joint evolution of decarbonised power, heat and transport systems. Within this project, new experimental testbeds will be created to evaluate scalable smart grid solutions. Overall, the main objective of this project is to coordinate the action of 12 Universities and 5 enterprises (3 SMEs and 2 large enterprises) with complementary expertise to develop and test various promising strategies for ensuring the scalability of smart grid services, thereby facilitating successful deployment and full roll-out of smart grid technologies.
- Program: EU COST
Project acronym: COSTNET (May 2016 – April 2020)Project title: European Cooperation for Statistics of Network Data ScienceCoordinator: Ernst Wit (NL), Gesine Reinert (UK)
Other partners: see http://www.cost.eu/COST_Actions/ca/CA15109
Abstract: A major challenge in many modern economic, epidemiological, ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed how preventing epidemics relies on a keen understanding of random interactions in social networks, whereas progress in curing complex diseases is aided by a robust data-driven network approach to biology.
Although analysis of data on networks goes back to at least the 1930s, the importance of statistical network modelling for many areas of substantial science has only been recognized in the past decade. The USA is at the forefront of institutionalizing this field of science through various interdisciplinary projects and networks. Also in Europe there are excellent statistical network scientists, but until now cross-disciplinary collaboration has been slow.
This Action aims to facilitate interaction and collaboration between diverse groups of statistical network modellers, establishing a large and vibrant interconnected and inclusive community of network scientists. The aim of this interdisciplinary Action is two-fold. On the scientific level, the aim is to critically assess commonalities and opportunities for cross-fertilization of statistical network models in various applications, with a particular attention to scalability in the face of Big Data. On a meta-level, the aim is to create a broad community which includes researchers across the whole of Europe and at every stage in their scientific career and to facilitate contact with stakeholders.
- Program: EU COST
Project acronym: ACROSS (November 2013 – November 2017)Project title: Autonomous Control for a Reliable Internet of Services
Coordinator: Rob Van Der Mei (CWI) and J.L. Van Den Berg (TNO), The Netherlands
Other partners: see http://www.cost-across.nl/
Abstract: Currently, we are witnessing a paradigm shift from the traditional information-oriented Internet into an Internet of Services (IoS). This transition opens up virtually unbounded possibilities for creating and deploying new services. Eventually, the ICT landscape will migrate into a global system where new services are essentially large-scale service chains, combining and integrating the functionality of (possibly huge) numbers of other services offered by third parties, including cloud services. At the same time, as our modern society is becoming more and more dependent on ICT, these developments raise the need for effective means to ensure quality and reliability of the services running in such a complex environment. Motivated by this, the aim of this Action is to create a European network of experts, from both academia and industry, aiming at the development of autonomous control methods and algorithms for a reliable and quality-aware IoS.