ΜΟΒΙ-TWIN argues that major global transition processes, such as green and digital transition, require to constantly redefine the changing nature of regional attractiveness for capturing shifts in the drivers and effects of spatial mobility. It builds on the idea that twin transition affects regional attractiveness -or otherwise, the drivers of human mobility- offering an opportunity to left-behind areas to attract new population based on characteristics related to living and environmental conditions and the changes it brings on job accessibility. It argues that this creates new spatial mobility patterns which tend to develop new equilibria between the different forms of mobility (permanent, circular, temporal), affecting both the ‘old’ and the ‘new’ sending and receiving regions. It uses biga data and agent-based modelling to analyse the impact of those changing patterns of spatial mobility on EU regions and envisage policies to counterbalance their effects in terms of demographics, society, welfare system and labour market. The project has a four-dimensional scope: (i) it will analyse the changing drivers of spatial mobility based on human mobility behaviour, encompassing the structural changes caused by twin transition in the definition of regional attractiveness; (ii) it will examine the new balance rising between the different forms of spatial mobility (permanent, circular, temporal) and their effects on EU regions following the changing nature of regional attractiveness; (iii) it will use agent-based modelling to capture and assess the impact of changing patterns of spatial mobility on EU regions in terms of demographics, society, welfare system and labour market; and (iv) it will use the insights to envisage place-based policies for harnessing the positive outcomes of twin transition. Specific attention will be placed on the ways in which the disruptions caused by the COVID-19 and Brexit have affected freedom of movement between EU regions.

Future wireless networks (FWNs) will need to efficiently and flexibly provide diversified services such as enhanced mobile broadband access, ultra-reliable low-latency communications (URLLC), and massive machine-type communications . RECOMBINE joins the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to build the framework for the design oif FWNs beyond 5G that are able to support multiple operational standards for exploitation of intrinsic network heterogeneity; capable of processing information generated from a huge volume of heterogeneous sources and with sufficient intrinsic resilience to counter potential security threats. RECOMBINE will pursue innovations for advancing in the areas of mm-wave technology, licensed spectrum access, antenna design, channel propagation and modeling, and network prediction and quality of experience supported by artifical intelligence. In addition, RECOMBINE will integrate scientific and business model innovations for building a framework to fulfill the economic potential of FWNs.

CHAMELEON's vision is to introduce, develop, test and evaluate an integrated network of collaborating agents, equipped with advanced sensing and cognitive capabilities that can support multiple - missions at tactical level. While UVs are highly specialized systems manufactured by different providers, they all implement the CHAMELEON specifications, enabling all common features necessary to take part in the surveillance tasks foreseen by the use cases. As such, CHAMELEON aspires to exploit already well-established technologies and tools that have reach adequate maturity, towards offering a complex interoperable and reconfigurable system capable of supporting a wide set of heterogeneous missions in diverse environmental conditions. CHAMELEON innovation lies on a novel reconfigurable drone, the CHAMELEON drone, able to modify its configuration and sizing upon demand, which can be deployed in homogenous or heterogeneous groups to support complex scenarios, as well as a set of existing heterogeneous, modular, interoperable, networked UVs systems. CHAMELEON Drones will be able to adapt its operation from a number of available services or application through CHAMELEON App-store. CHAMELEON will organize two open calls to attract and select the best SMEs from across the continent. SMEs will be funded to generate AI supported products, processes, and business models with strong market potential across the proposed clusters. Besides a total financial support of ~€600.000, CHAMELEON will provide technical and business mentorship to the selected SMEs. Open Calls will also lead towards the industrial applicability of the proposed tools and services without EC funding: it is envisioned that an estimated of 10 applications will be submitted through CHAMELEON and will be enriched with AI components. The CHAMELEON solution will be demonstrated and validated under relevant operating conditions in 3 pilot sites in 3 European countries.

European materials industry is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, there is a low uptake in European materials industry for digital technologies. Hereby, it is crucial to provide all stakeholders of the EU with advanced digital technologies to evolve towards an agile European materials industry with intelligent enterprises that maximise and integrate the utility of digital materials sciences knowledge. DiMAT will develop Open Digital Tools with a set of advanced technologies for offering European SMEs and Mid-Caps an affordable (in terms of cost, implementation and usability) full modelling, simulation and optimisation system in each stage of the material value chain (design, processing and manufacturing) for improving quality, sustainability, effectiveness, and competitiveness of materials. DiMAT will deploy 3 integrated Suites: 1) DiMAT Data and Assessment Suite: digital technologies for storing, sharing, representing and assessing materials data; 2) DiMAT DiMAT Modelling and Design Suite: digital technologies for material design, in terms of their internal structure, properties and performance, in order to predict the material behaviour before manufacturing; 3) DiMAT Simulation and Optimisation Suite: digital technologies for creating efficient materials manufacturing simulation processes and determining the behaviour of the material mechanical characterization models to be used in the AI training and prediction. The DiMAT Suites will be demonstrated in 4 Pilots of European designers and producers of different materials: textile, composite, glass and graphite.

The constantly increasing demand of scarce resources and critical raw materials (CRMs), requires efficient usage of resources - reuse and recycling of materials- and responsible waste management and prevention. The circular economy’s model establishes a virtuous cycle where products and resources can be reused, repurposed and recycled to maximize productivity of resources, to reduce waste and by products that can become raw materials (RMs) entering in other industrial processes, thus reducing the depletion of natural resources and the overall environmental effects on climate change. Plooto aims to deliver a Circular and Resilient Information System (CRIS) to support manufacturers in their green, digital and circular transition. CRIS enables waste reduction and end-to-end traceability of Secondary Raw Materials (SRM) through interconnected digital services for real-time decision making, monitoring and certification of materials and products. Plooto delivers: a) a transformation framework based on traceability strategies for materials/products per business case, with reference processes for SRM use from waste deposit to new products, and governance models for circular value chains; b) ICT tools for modelling product, production processes and supply chains, as an aggregation of individual component Digital Twins with cognition capabilities (cognitive Digital Twins – CDTs); c) Data will feed RM-recovery and waste dataspaces allowing the provision of material certification and product passport; and d) A circular sustainability balanced scorecard (framework+toolkit) to assess impact of decision-making at CDT level based on various KPIs. The solution will be piloted in three different circular supply chains demonstrating waste reduction, reusability of scrap and production by-products, operational improvement.