iTrust6G aims at designing and implementing a network architecture implementing the zero-trust principles to increase the trustworthiness of 6G networks at several levels: AI/ML algorithm exploited for threat handling, asset compliance, explainable security policies and asset observability. The prioject aims to improve the accuracy and the efficiency of the (i) methodologies used for trust determination (e.g. time to share cyber-threat intelligence, duration of the vulnerability assessment procedure, number of the assurance conformity check), (ii) the performance of the security procedures involved (e.g. number of classes of monitored resources, mean time-to-detection of threat, mean time-to-reaction), and (iii) the induced overhead over network resources exploitation (e.g. performance overhead due to the programmability models).

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.

AGRARIAN will focus on the design of an open and highly dynamic environment (TRL 5-7) with respect to the tools, reuse, composability and orchestration so as to enable tailored open-source digital solutions that will enhance sustainability performance and competitiveness of the agricultural sector. AGRARIAN will leverage mature and sophisticated technologies addressing the requirements of different workloads through a new programming environment and tools for the automated refactoring of existing and/or new applications and data management frameworks enabling them to operate in edge-based deployments as well as new edge-native programming abstractions and middleware. Based on widely accepted open source technologies and adoption of container-based technologies and orchestrators, AGRARIAN platform aims to offer: Smart connectivity for secure access to any of the relevant network infrastructure options; Ability to dynamically meet latency, configuration and other requirements of each of the different network technologies; Integration of edge and cloud for a transparent infrastructure to organize and deploy software components on demand; Uniform management of distributed digital infrastructure for different edge types, cloud components and services; Dynamic deployment and provisioning of services and applications that are time- and location-dependent; Management of data to maintain data security and optimize data processing; Optimisation of operations in terms of energy consumption by enabling new tools and apps for field operations and resource use; The proposed AGRARIAN environment will enable the development of new tools and apps for the agriculture by improving operational effectiveness and efficiency through real- time data processing. A strong ADSS (Agricultural Decision Support System) tool will be developed taking into consideration all specificities of farmers in rural communities enabling end users and stakeholders and maximize their benefit.

The emergence of large drone systems that can be integrated with intelligent coordination technology has enabled Advanced Air Mobility (AAM) concepts that are poised to revolutionize a broad range of domains including transport (including logistics), and climate adaptation. Nevertheless, despite commendable global initiatives, Southeast Europe is facing challenges and delays in adopting and implementing AAM. In this context, we introduce EUSOME with the mission to propel the AAM R&I ecosystem in this part of Europe, addressing specific regional challenges arising from its distinctive geographical characteristics. Evidently, the region would heavily benefit from the development and adoption of a transformative transportation solution that has the potential to eradicate traffic congestion and provide a transformative climate adaptation solution to a heavily stressed ecosystem. Nevertheless, the incorporation of AAM presents regulatory complexities and lacks a driving force in terms of R&I in AAM, partly due to the absence of a cohesive, open R&I infrastructure and adequate specialized mentoring programs. The proposed EUSOME Excellence Hub endeavors to tackle these challenges head-on, assuming a pivotal role in establishing AAM as an integral component of the transportation landscape in the region. The consortium consists of experts across the whole AAM spectrum, from cutting-edge research departments, aircraft manufacturing, civil aviation authorities, relevant public agencies, experts in translating research into innovation, and representatives of the public society. This partnership enables EUSOME to deliver a diversified open R&I infrastructure, covering all needs within the AAM spectrum, a regional masterplan for the adoption of EASA’s recommendations on AAM, and a comprehensive mentoring, training, and service provider program for entities (businesses, public agencies, etc.) desiring to enter the AAM domain.

As we live in a data-driven era, the emergence of interdisciplinary, geographically dispersed, data repositories, is inevitable. The fact that these repositories do not necessarily abide with existing interdisciplinary data representation standards, nor do they necessarily belong to any data federation initiative, renders them unusable, since researchers cannot easily access this data. Moreover, most of the times, integrity, privacy, and security in such interactions is either very difficult, or impossible to maintain. Towards this end, TRUSTEE aims to bring a green, secure, trustworthy, and privacy-aware framework that will aggregate various interdisciplinary data repositories, such as Healthcare, Education, Energy, Space, Automotive, Cross-border etc. and also consider other European data federation spaces and trans-national initiatives, such as Gaia-X and EOSC. TRUSTEE will offer a secure-by-design framework, wherein stored data is homomorphically encrypted, thus offering researchers i) ability to search and use data in the encrypted domain, ii) a unified and meaningful FAIR representation of data, in an open and fair manner, iii) complex and context-aware queries through advanced ontologies, iv) data processing and analysis through transparent trustworthy ML workflows, over an intuitive AI playground, which will promote AI eXplainability, interoperability, and re-usability, by utilizing state of the art methods and paradigms, v) compliance with European privacy and ethical frameworks, e.g., GDPR, PIA, etc., vi) enforce privacy by applying a Homomorphic encryption layer, through which all data interaction will take place, vii) a blockchain-based transaction recorder to ensure accountability. TRUSTEE's fully encrypted solution will be validated through six different use cases supporting GAIA-X, EOSC, EGI, etc. demonstrating a multi-disciplinary, Pan-European federated FAIR and private data ecosystem.