The data economy holds great promises for making food systems more sustainable. Data collected in digital solutions in the food and nutrition domain could be used by food producers, distributors, retailers to innovate towards more environmentally-friendly activities. However, the currently used platforms are closed, and do not allow citizens to exercise their rights to personal data sovereignty. Moreover the closed aspect of these platforms hinders the possibility to use these data for common good even if users gave their consent to share their anonymised personal data. It is time for Europe to ensure a healthy ecosystem of Digital Solutions for food and nutrition that respect citizens' right to personal data sovereignty. FOODITY will run a 2M€ pilot development program funding 12 Industry and research collaborations to develop pilots demonstrating the potential of data-driven innovations in health and nutrition, engaging citizens in their development. The pilots will demonstrate the potential of user’s personal data in health and nutrition solutions to contribute to more just and environmentally-friendly food systems, reaching over 200,000 citizens in our communication actions. The FOODITY Pilot development program we provide it's beneficiaries with a set of value adding services including one-to-one mentoring, training on technical business and legal topics relevant, as well as technical support into assets to which beneficiaries can use as building blocks the development of the pilots. FOODITY builds on the PROTEIN H2020 project will provide state-of-the-art tools and software components as building blocks for the development of personalised nutrition solutions, and the PoSeID-on H2020 project Provides a deployment-ready solution for trustworthy secure large-scale data sharing transactions, full GDPR compliance and relying on the centralised technologies and digital identity, thus guaranteeing the personal data sovereignty of the end users.

VeriDevOps is about fast, flexible system engineering that efficiently integrates development, delivery, and operations, thus aiming at quality deliveries with short cycle time to address ever evolving challenges. Current system development practices are increasingly based on using both off-the-shelf and legacy components which make such systems prone to security vulnerabilities. Since DevOps is promoting frequent software deliveries, verification methods artifacts should be updated in a timely fashion to cope with the pace of the process. VeriDevOps aims at providing faster feedback loop for verifying the security requirements i.e. confidentiality, integrity, availability, authentication, authorization and other quality attributes of large scale cyber-physical systems. VeriDevOps is focusing on optimizing the security verification activities, by automatically creating verifiable models directly from security requirements, and using these models to check security properties on design models and generate artefacts (such as tests or monitors) that can be used (later on) in the DevOps process. More concretely, we will develop methods and tools for: 1) creating security models from textual specifications using natural language processing, 2) automatic security test creation from security models using model-based testing and model-based mutation testing techniques and 3) generating (intelligent/adaptive, ML-based) security monitors for the operational phases. This brings together early security verification through formal modelling as well as test generation, selection, execution and analysis capabilities to enable companies to deliver quality systems with confidence in a fast-paced DevOps environment. Overall, VeriDevOps is using the results of formal verification of security requirements and design models created during the analysis and design phase for test and monitor generation to be used to enhance the feedback mechanisms during development and operation phases.

Context. Software quality is an essential competitive factor for the success of IT companies nowadays. Recent technological breakthroughs such as cloud technologies, the emergence of IoT and technologies such as 5¬G, pose demanding quality challenges in software development. Problem. Optimal software quality asks for the appropriate integration of quality requirements (QRs) in the software life-cycle.However, software development methodologies still provide limited support to QR management which is utterly important in rapid software development processes (RSDP): faster and more frequent release cycles should not compromise software quality. Concept. Q-Rapids defines an empirical-based, data-driven quality-aware rapid software development methodology. QRs are incrementally elicited and refined based on data gathered both during development and at runtime. This data is elaborated into quality-related key indicators presented to decision makers through a strategic dashboard with advanced capabilities. Selected QRs are integrated with functional requirements for their unified treatment in the RSDP. Outcome. A TRL7 validated Q-Rapids framework, including cutting-edge tools and methods to smartly manage QRs along with functional requirements in a similar rapid and holistic manner. Impact. Increase of software quality levels through continuous data gathering and analysis. Significant productivity increase to the software life-cycle by means of smooth and tool-supported integration of QRs in the RSDP. Shorter time to market due to reduction of quality-related maintenance efforts and more informed decision making in the planning of release cycles. Impact will be measured through 11 project indicators with defined target values. Consortium. 3 research organisations,1 SME, 2 mid-caps and 1 corporative with balanced geographical distribution. The consortium combines long research tradition in software development and cutting-edge technological knowhow in versatile ICT sectors

The “Multi-layer 360° dYnamic orchestration and interopeRable design environmenT for compute-continUum Systems (MYRTUS)” project aims to provide the technology to make CPS evolving towards a living dimension, embracing the technological principles of the TransContinuum Initiative where “edge, fog and cloud computing platforms are being pulled closer together into a seamless execution environment” and “programming has to be reinvented, with languages and tools to orchestrate collaborative distributed and decentralised components, as well as components augmented with interface contracts covering both functional and non-functional properties”. MYRTUS puts together different technologies to design and operate complex, distributed, and heterogeneous CPS computing infrastructures, leveraging diverse cloud to edge technologies, including from off the shelf CPUs to custom AI accelerators, offered by multiple providers. Main MYRTUS results are (i) the MYRTUS reference infrastructure, comprising a diversity of heterogeneous, autonomous, federated and collaborative computing nodes distributed across the computing continuum; (ii) a novel management scheme featuring MIRTO, an AI-powered cognitive engine capable of orchestrating, at 360°, the whole continuum infrastructure, and (iii) the MYRTUS design and programming environment to design, deploy, and operate such complex infrastructures. MYRTUS solutions represent the instruments to unlock the new living dimension of CPS, pursuing also sustainable and responsible computing, openness, security and trustworthiness, and promoting strategic industrial cooperations by establishing synergies with relevant initiatives and projects, as IPCEI, Gaia-X, TransContinuum Initiative. Technology assessment is carried out within two challenging scenarios, Healthcare and Mobility, involving humans.

MORPHEMIC proposes a unique way of adapting and optimizing Cloud computing applications by introducing the novel concepts of polymorph architecture and proactive adaptation. The former is when a component can run in different technical forms, i.e. in a Virtual Machine (VM), in a container, as a big data job, or as serverless components, etc. The technical form of deployment is chosen during the optimization process to fulfil the user’s requirements and needs. The quality of the deployment is measured by a user defined and application specific utility. Depending on the application’s requirements and its current workload, its components could be deployed in various forms in different environments to maximize the utility of the application deployment and the satisfaction of the user. Proactive adaptation is not only based on the current execution context and conditions but aims to forecast future resource needs and possible deployment configurations. This ensures that adaptation can be done effectively and seamlessly for the users of the application. The MORPHEMIC deployment platform will therefore be very beneficial for heterogeneous deployment in distributed environments combining various Cloud levels including Cloud data centres, edge Clouds, 5G base stations, and fog devices. Advanced forecasting methods, including the ES-Hybrid method recently winning the M4 forecasting competition, will be used to achieve the most accurate predictions. The outcome of the project will be implemented in the form of the complete solution, starting from modelling, through profiling, optimization, runtime reconfiguration and monitoring. Then the MORPHEMIC implementation will be integrated as a pre-processor for the existing MELODIC platform extending its deployment and adaptation capabilities beyond the multi-cloud and cross-cloud to the edge, 5G, and fog. This approach allows for a path to early demonstrations and commercial exploitation of the project results.