The NextGEM vision is to assure safety for EU citizens when employing existing and future EMF based telecommunication technologies. This will be accomplished by generating relevant knowledge that ascertains appropriate prevention and control/actuation actions of EMF exposure in residential, public, and occupational settings. Fulfilling the vision will provide a healthy living and working environment, under safe EMF exposure conditions, that can be trusted by people and be in line with the regulations and laws of the public authorities. For that, NextGEM will provide a framework for the generation of health-relevant scientific knowledge and data on new scenarios of exposure to EMF in multiple frequency bands, and develop and validate tools for evidence based risk assessment. NextGEM will also create the NextGEM Innovation and Knowledge Hub (NIKH) for EMF and Health offering a standardised way for European regulatory authorities and the scientific community to store and assess project outcomes, and provide access to FAIR data.. NextGEM is part of the European cluster on EMFs and health.

Phoenix aims to develop a fundamentally novel computational model for reconstructing complex software systems, following some massive internal failure or external infrastructure damage. Recovering system operations is a challenging problem as it may require excessive system reconstruction using a different infrastructure (i.e., computational and communication devices named system cells) from the one that the system was originally designed for. Thus, software functionality may have to be remodularised and allocated onto devices with very different characteristics than the ones originally used but with some generic capabilities. Phoenix aims to develop a bio-inspired paradigm for reconstructing nearly extinct complex software systems based on a novel computational DNA (co-DNA) oriented systems modelling approach. The co-DNA will encapsulate logic and program code and will enable the use of analogues of biological processes for transmitting, transforming, combining, activating and deactivating it across computational and communication devices. The purpose of encoding the co-DNA of a system, and computational analogues of biological processes using it, is to enable other computational devices receiving the co-DNA to act as parts of the system that needs to be reconstructed, realise chunks of its functionality, and spread further the system reconstruction process. The Phoenix approach will bring a breakthrough in the current software system design and engineering paradigm. This will be through, not only a fundamentally new way of engineering mechanisms to support the resilience, continuity and recovery of software systems, but also the initiation of a new paradigm of designing and implementing software systems, based on the encoding of a system co-DNA that can trigger processes of self-regulated and incrementally expanding system functionality.

AERAS aims to develop a realistic and rapidly adjustable cyber range platform for systems and organisations in the critical healthcare sector, to effectively prepare stakeholders with different types of responsibility and levels of expertise in defending high-risk, critical cyber-systems and organizations against advanced, known and new cyber-attacks, and reduce their security risks. The platform will be a virtual cyberwarfare solution enabling the simulation of the operation and effects of security controls and offering hands-on training on their development, assessment, use and management. The platform will be based on an evidence-based approach where virtual cyberwarfare and simulations are configured according to evidence regarding: (i) the occurrence of cyber threats, and (ii) the effectiveness of the operation of the internal and external system defence mechanisms. Evidence will be collected by multi- faceted real-time monitoring and assessed according to Cyber Range Security Assurance (CRSA) models specifying potential cyber-attacks, the security mechanisms used against them, and the methods for assessing their effectiveness. The AERAS solution will be delivered at TRL-7 and validated through two different pilots in the healthcare sector: (i) a hospital medical systems pilot; and (ii) a public health systems pilot.

We live in an era of information overload that impairs objective decision making, especially in time-sensitive contexts. Information Visualization (InfoVis) systems have been used to mitigate information overload, yet they have not yet unlocked their potential in critical decision-making scenarios. From emergency rooms and autonomous cars to operational command centres, a clear understanding and rapid assessment based on the available data can make the difference between life and death. SYMBIOTIK envisions an effortless interaction dialogue between human and InfoVis systems to support decision making processes, inspired by known biological principles and guided by artificial intelligence (AI). Critically, this dialogue requires AI solutions with context awareness, emotion sensing, and expressing capabilities. We propose a novel framework where both the human and the machine cooperate towards a common goal and evolve together. Awareness principles will allow us to engineer complex systems, making them more resilient and more human-centric. We will define an integrative approach for awareness engineering and propose a specific open source implementation. Finally, we will demonstrate and validate the role and added-value of such an awareness framework in two scenarios: supporting novice-to-expert transitions and critical decision making. The awareness principles to be developed in this project can support learning, adaptation, and self-development of intelligent systems over long periods of time, not only in the InfoVis domain. Therefore, SYMBIOTIK has potential to achieve the real breakthroughs needed to bring awareness and emotional intelligence for decision-making tasks in computing systems. The results of the project will benefit a range of stakeholders, from human vision and brain researchers, computer scientists, citizens, as well as research funding bodies and policy makers.

PHOENi²X aims to design, develop, and deliver a Cyber Resilience Framework providing Artificial Intelligence (AI) - assisted orchestration, automation & response capabilities for business continuity and recovery, incident response, and information exchange, tailored to the needs of Operators of Essential Services (OES) and of the EU Member State (MS) National Authorities entrusted with cybersecurity. Through the deployment PHOENi²X Cyber Resilience Centres (PHOENi²X CRCs), OES will gain: (i) enhanced Situational Awareness with AI-assisted Prediction, Prevention, Detection & Response capabilities, and business risk impact assessment-based prioritisation; (ii) proactive and reactive Resilience Automation, Orchestration, and Response (ROAR) mechanisms, providing Business Continuity, Recover and Cyber & Physical Incident Response; (iii) Increased Preparedness through relevant Serious Games and realistic Resilience Cyber Range (RCR) Assessment & Training; (iv) timely and actionable Information Exchange between OES, National Authorities and EU actors, leveraging interoperable and standardised alerting and reporting mechanisms and processes.