The vision of REFLOW is to develop circular and regenerative cities through the re-localisation of production and the re-configuration of material flows at different scales. More specifically, it will use Fab Labs and makerspaces as catalysers of a systemic change in urban and peri-urban environments, which enable, visualize and regulate “four freedoms”: free movement of materials, people, (technological) knowledge and commons, in order to reduce materials consumption, maximize multifunctional use of (public) spaces and envisage regenerative practices. Concretely, REFLOW aims at providing realistic best practices aligning market and government needs in order to create favourable conditions for the public and private sector to adopt circular principles. In order to provide critical examples of ways in which cities can adopt a CE model and reach the 2030 Sustainable Development Goals, REFLOW will create new CE business models (Distributed Design Market model, On-Demand System, Corporate Hacking and Corporate Pyramid) within 6 pilot cities (Amsterdam, Berlin, Milan, Paris, Vejle and Cluj-Napoca) and assess their social, environmental and economic impact. The project will make use of blockchain technologies in order to incentivise the circular practices in local ecosystems and data visualisation tools to enable continuous monitoring and optimisation of “urban metabolic” processes and rapid interventions management. Networks of sensors, urban computing and geo-localisation will capture data ensuring accuracy, integrity and interoperability of relevant data infrastructures, while data visualisation and standard templates will be available for effective communication, public consultation, and exchange of experiences.

AI-DAPT brings forward a data-centric mentality in AI, that is effectively fused with a model-centric, science-guided approach, across the complete lifecycle of AI-Ops, by introducing end-to-end automation and AI-based systematic methods to support the design, the execution, the observability and the lifecycle management of robust, intelligent and scalable data-AI pipelines that continuously learn and adapt based on their context. AI-DAPT will design a novel AI-Ops / intelligent pipeline lifecycle framework cross-cutting the different business, legal/ethics, data, AI logic/models, and system requirements while always ensuring a human-in-the-loop (HITL) approach across five axis: “Data Design for AI”, “Data Nurturning for AI”, “Data Generation for AI”, “Model Delivery for AI”, “Data-Model Optimization for AI”. AI-DAPT will contribute to the current research and advance the state-of-the-art techniques and technologies across a number of research paths, including sophisticated Explainable AI (XAI)-driven data operations from purposing, harvesting/mining, exploration, documentation and valuation to interoperability, annotation, cleaning, augmentation and bias detection; collaborative feature engineering minimizing the data where appropriate; adaptive AI for model retraining purposes. Overall, AI-DAPT aims at reinstating the pure data-related work in its rightful place in AI and at reinforcing the generalizability, reliability, trustworthiness and fairness of Al solutions. In order to demonstrate the actual innovation and added value that can be derived through the AI-DAPT scientific advancements, the AI-DAPT results will be validated in two, interlinked axes: I. Through their actual application to address real-life problems in four (4) representative industries: Health, Robotics, Energy, and Manufacturing; II. Through their integration in different AI solutions, either open source or commercial, that are currently available in the market.

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders. The STAMINA toolset enables national planners and first responders to anticipate and respond to the the “known-unknowns” in their daily effort to enhance health security. Main functionality of the toolset includes: • Real-time web and social media analytics aiming at public trust monitoring and flagging possible disease outbreaks • POCT and smart wearable diagnostic devices for first line screening • Predictive modeling of pandemic outbreak and its impact, along with decision-making support in implementing mitigation strategies, • Early Warning System • Crisis management tool defining the roles and actions of key actors during crisis management • Scenario Generation tool for creation of training scenarios • Common Operational Picture as the main interface of the solution enabling timely and coordinated response The toolset is accompanied by a set of Guidelines on effective implementation of risk communication principles and best practices in cross-organisational preparedness and response plans. The use of the STAMINA toolset will be demonstrated through 12 national and regional small-scale demonstrators and one large-scale cross-border simulation exercise involving all consortium partners.

The path towards 6G is beginning now that 5G matured and is being deployed worldwide both publicly and privately. While 5G brought a step up in many fields, such as, performance and efficiency, more is always expected in terms of efficiency by the overall community and in terms of performance by industry and technology providers who want to further increase their offerings and products. Continuous demands for higher throughput, lower latency and more energy efficient communications needs to be supported by relevant use cases that can claim and demonstrate the needs for these requests. 6G-PATH goal is to help foster the further development and integration of new and improved tools and products from EU companies with 5G/6G, while also measuring relevant KPIs and KVIs. To achieve this, 7 testbeds will be part of the project consortium, which will be used by 10 use cases spread across four key verticals: Health, Education, Smart Cities and Farming. Moreover, a relevant portion of the budget will be used for FSTP, where we envision the integration of 2 new Pilot Sites, extend the testbeds with 10 additional technologies, as well as 30 new Use Cases, through Open Calls, to further involve the community and obtain more metrics and outcomes. 6G-PATH plans to work closely with other ongoing/starting Stream-B and Stream-C projects in a feedback loop, where the innovations that partners are achieving in other projects can be deployed and further tested by our pool of use cases and Open Calls, while sharing our results and outcomes to further cement the innovation being made.

Current emergency systems and 112 services are based on legacy telecommunication technologies, which cannot cope with IP-based services that European citizens use every day. Some of the related limitations are the partial media support (so far, only voice calls and SMS are accepted), the lack of integration of social media, and the use of an analog modem for providing eCall services with limited data amount. As most operators have started migrating towards broadband IP-based infrastructures, current emergency systems need also to be upgraded/adapted in order to fulfill regulatory requirements in terms of Next Generation emergency services. Τhe main objective of EMYNOS project is the design and implementation of a Next Generation platform capable of accommodating rich-media emergency calls that combine voice, text, and video, thus constituting a powerful tool for coordinating communication among citizens, call centers and first responders. Additionally, issues such as call routing/redirection to the closest-available call center, retrieval of the caller location, hoax calls prevention, support for people with disabilities, and integration of social media will be addressed. EMYNOS will enable users to make emergency calls across heterogeneous devices (e.g. PCs, TV sets, mobile, AAC and haptic devices) using various mature technologies, including those making use of the Session Initiation Protocol (SIP), the IP Multimedia Subsystem (IMS), and WebRTC framework. EMYNOS will also demonstrate how the eCall concept can benefit from the IP technologies by allowing audio-video calls towards the emergency call centers and complementing location information, with photos and videos. EMYNOS involves partners with complementary expertise (telecom/satellite operator, VoIP provider, eCall testers, end users), which together form the chain for the provision of emergency services and which will deliver the EMYNOS demonstrator that will be validated in operational environment (TRL 7)