The WeHealth Project (Widening Research on Pervasive eHealth) will enable research exchanges and training activities on the topic of Pervasive and eHealth. The overarching goal of the project is to enable a new generation of researchers in the Widening Countries to develop and adapt novel eHealth technologies exploitable in the longer run in their different healthcare contexts. Also, the project will establish a sustainable network of knowledge research and dissemination across Europe in the Pervasive Health topic. The knowledge of requirements and available technologies for eHealth will be shared and become complementary between early-stage researchers and researchers in the target institutions involved in the twinning. This will allow researchers in Widening Countries to get trained and put this knowledge to use in their own context, improving potential of digitally enabled healthcare provisioning and impacting on both preventative medicine and alternative means of treatment. In particular, the project will address the following three research aspects: (i) data driven healthcare, (ii) human factors in pervasive health, (iii) federated machine learning. Additionally, WeHealth will include training of administrative staff to improve their skills on project management and administration of research funding. This way, the project will improve management and administration skills mainly for the coordinator UKIM, which is an important barrier to participating and obtaining European funding. The consortium includes partners from three Widening countries: UKIM - the coordinator - from North Macedonia, JSI from Slovenia, and FC.ID from Portugal. FC.ID - despite being from a Widening country - is a highly ranked university, so it will have a hybrid role, both receiving and providing expertise. The leading Institutions in this project are FBK in Italy and HPI in Germany, both of them recognized with high visibility in the Pervasive Health international research community.

There are three main reasons for an immediate innovation action to apply big data technologies in Healthcare. Firstly, a Healthy nation is a Wealthy nation! An improvement in health leads to economic growth through long-term gains in human and physical capital, which ultimately raises productivity and per capita GDP. Secondly, Healthcare is one of the most expensive sectors, which accounts for 10% of the EU’s GDP continuously becoming more expensive. Thirdly, as healthcare is traditionally very conservative with adopting ICT, while big healthcare data is becoming available, the expected impact of applying big data technologies in Healthcare is enormous. BigMedilytics will transform Europe’s Healthcare sector by using state-of-the-art Big Data technologies to achieve breakthrough productivity in the sector by reducing cost, improving patient outcomes and delivering better access to healthcare facilities simultaneously, covering the entire Healthcare Continuum – from Prevention to Diagnosis, Treatment and Home Care throughout Europe. BigMedilytics produces: • A Big Data Healthcare Analytics Blueprint (defining platforms and components), which enables data integration and innovation spanning all the key players across the Healthcare Data Value Chains • Instantiations of the Blueprint which implement BigMedilytics concepts across 12 large-scale pilots accounting for an estimated 86% of deaths and 77% of the disease burden in Europe • The Best “Big Data technology and Healthcare policy” Practices related to big data technologies, new business models and European and national healthcare data policies and regulations. BigMedilytics will maximize the impact by using its Big Data Healthcare Analytics Blueprint and the Best Practices to scale-up the concepts demonstrated in the 12 pilots, to the whole Healthcare sector in Europe. It will use health records of more than 11 million patients across 8 countries and data from other sectors such as insurance and public sector.

SEPTON aims to address the gap in the generic technologies and processes referring to the IT network infrastructure with a holistic approach towards reinforcing NMD security within the healthcare centre premises. The project will advance cutting-edge solutions in healthcare cybersecurity targeting the aforementioned health providers and particularly focusing on networked medical devices (NMDs). The SEPTON approach will result in a comprehensive cybersecurity toolkit providing tools and mechanisms to be used in hospitals and care centres for a) the protection of networked medical devices, including wearable and implantable devices, and using techniques such as polymorphism b) the secure and privacy preserving data exchanges between NMDs, utilising techniques such as blockchain, differential privacy and encryption c) behavioural anomaly detection, utilising a cybersecurity analytics framework coupled with machine learning techniques and hardware acceleration for increased performance and d) NMD vulnerability assessment. The usability of the proposed solutions will be tested in a realistic setup via extensive pilot trials, facilitated by the participation of two healthcare organisations

The SSICLOPS project will focus on techniques for the management of federated private cloud infrastructures, in particular cloud networking techniques (within software-defined data centres and across wide-area networks). Key deliverables from the project will include a meta data description language for workloads, resources and policies, a flexible scheduling system using meta data, workload-specific adaptations to TCP/IP stacks, and data center performance analysis tools. Addressing topics, such as dynamic configuration, automated provisioning and orchestration of cloud resources the SSICLOPS projects will investigate high-performance, vertically integrated network stacks for intra/inter-cloud communication and efficient, scalable, and secure intra/inter-DC and client-facing transport mechanisms. The project will design, implement, demonstrate, and evaluate three specific use cases, namely a cloud-based in-memory database, the analysis of physics experiment data, and the prototypical extension of network stacks for a telecom provider in the SSICLOPS testbed.

We live in a crucial historical moment, with tremendous challenges ahead, from climate change to the energy crisis. ELIAS emerges from the belief that AI will be a key discipline to help us tackle these challenges. At the same time, the development of AI entails deep ethical and societal concerns that need to be addressed. As for fundamental research, ELIAS will address key scientific questions about how AI can reduce computational costs, serves to model effects of policy decisions on society, and impacts individuals. ELIAS will strive for a deep integration of the fundamental research that takes place in academia and the more applications-focused research from industry. ELIAS builds on and expands the highly successful and internationally recognized European Laboratory for Learning and Intelligent Systems (ELLIS). ELIAS will further develop the excellence criteria and the pillars in ELLIS and implement actions that will support AI researchers and young talents at different stages of their careers. Furthermore, ELIAS will develop a Sciencentrepreneurship track, with the purpose of attracting and empowering talents at the interface of scientific innovation and business and establish original AI solutions that move towards a sustainable long-term future for our planet, contribute to a cohesive society, and respect individual rights. The outcome of ELIAS will be to establish Europe as a leader in AI research in which impact on the environment, society and the individual are integral considerations during development. We will measure the success of this endeavor in terms of key indicators, including the number of new cross-institutional collaborations, the number of cross-disciplinary collaborations, the number of industry-academic partnerships, publications in top conferences and journals, patents, and the number of projects that have resulted in deployed technologies.