TELEMETRY will provide trustworthy tools that enable the continuous assessment of heterogenous, interlinked components & systems that constitute IoT ecosystems (interconnected IoT devices with hardware, software, services and communications infrastructure). Addressing all aspects of their lifecycle, the TELEMETRY holistic methodology and toolkit incorporates: testing for component development, testing & monitoring for component integration into systems, testing & monitoring for operation of systems. TELEMETRY will deliver advances in cybersecurity testing and runtime monitoring through the use of novel machine learning models and algorithms for real-time anomaly detection; dynamic risk assessment to simulate likelihood and severity of threat consequences; reputation management and privacy-preserving data sharing across independent entities (e.g. supply chains), IoT device emulation and analysis environment and lightweight approaches for trusted updates; all of which that promotes a cycle of continuous improvement and assurance across design and runtime phases. TELEMETRY will leverage 3 exemplar use cases representing diverse, complex IoT ecosystems and IoT supply chains in aerospace, smart manufacturing and telecommunications domains to drive the design and validation of the proposed tools and methodologies. This will lead to significant improvements with respect to accuracy of threat and vulnerability detection, response time and cost of testing and verification of IoT ecosystems. TELEMETRY will promote open source and knowledge sharing through engagement with relevant communities throughout the project for consultation, dissemination and exploitation of its results.

DS2 draws researchers and practitioners from diverse disciplines to secure that complex lifecycles of inter-sector data sharing, aggregation and provenance take place in a human-centric and trusted way, with common structures, exportability and insight, whilst protecting the sovereign rights of data owners and complying with European data regulations. DS2 provides a modular software infrastructure to connect data sources (Data Spaces/data silos/data lakes) together for the purpose of cross-sector data sharing. Once connected, data consumers and data providers will be able to structure and execute efficient complex data lifecycles that respect the technical and governance related requirements of the participating data sources. It will do this via an IDT (Intersector DataSpace Toolkit) which is deployed at each data source/space and network connected to any other IDT-enabled data source. The IDT Toolkit is composed of a Broker which manages the fail-safe network operation with no central point of control. Plugged into this is a set of modules for the execution of complex data lifecycles, e.g. filtering, labelling, both automated and catering for where human-in-the loop is required. DS2 will pilot and evaluate its technology using 3 well-defined, inter-sector use cases, (City Scape, Green Deal, Precision Agriculture). The DS2 solution enhances and accelerates the shift towards the data economy by addressing the challenges, pain-points, and requirements with respect to the execution of complex data lifecycle. Data consumers and data providers can now orchestrate, manage and securely execute complex data lifecycles to realize cross-sectorial data driven applications.

PUREMIND will deliver the first Integrated Mental Healthcare Ecosystem (IMHE) to predict/early identify Mental Health Disorders (MHD) and create more optimal personalised interventions to prevent MHD and thereby improving wellbeing in children, adolescents, and young adults (0–25 years). The ecosystem will mitigate key challenges associated with MHDs, specifically 1)Detection: 1 in 7 undetected and untreated MHD cases, 2)Efficiency of treatment: lack of tools and guidelines for personalised multidisciplinary interventions that work, 3)Access to Support and Care: long waiting times for care due to lack of trained personnel, 4)Inequality: disparate and inadequate inter- and intra-country mental healthcare services and 5)Modern Cultures and Lifestyle: the increasingly recognised risk factor of digital addiction resulting in sedentary, socially isolated lifestyle contributing to MHD. These will be addressed by PUREMIND’s approach of combining analytical modelling of dynamical systems in the cyber-physical context of a subject’s personal natural environment-gene-gut-brain-MHD interactions process creating a much-needed personalised intervention synthesis framework that will be exploited by an AI engine to deliver optimised personalised intervention, and a unique digital twin educating young people how MHD might develop depending on their environment and lifestyle. These 2 components will be combined in an accessible/ adaptable mobile app MyMind to measure at scale and allow a subject to seamlessly access a 4-tier service architecture involving family, community, clinical and emergency services, to support prediction/early detection of MHD, empowering them to monitor their own mental health at home/educational/community settings and taking preventive actions against MHD. The IMHE will be designed using Implementation Science approach and will be validated in a 12month pilot study in 7 European countries and 2 LMICs covering different socioeconomic and cultural scenarios.