'TOKEN' aims at developing an experimental ecosystem to enable the adoption of Distributed Ledger Technologies (DLT) as a driver for the transformation of public services towards an open and collaborative government approach. During 32 months, a multidisciplinary consortium of 11 partners comprising (a) IT developers/RTOs with experience in development of blockchain components/IoT & Big data platforms (FBA, IMEC, VIL, CERTH, FIWARE), (b) blockchain associations (INF), (c) public administrations (AYTOSAN, KATERINI); (d) SSH experts in public management (UC) and (e) think tanks specialised in digital transformation & policy-making (DEMOS) and Open Commons business models (FBR) will develop a Blockchain Platform as a Service Solution (BCPaaS) to be tested in 4 highly replicable application areas that are common to many Public Governments across Europe: public funding distribution; management of public accounts; urban logistics; valorisation of data. BCPaaS implementation will be assessed from a multidimensional perspective (technological, cultural, socio-economic and legal impacts), paying special attention to attitudes shown by public servants, as key individuals in public service provision. BCPaaS architecture will endorse the Next Generation Internet values of trustworthiness, resilience and sustainability and keep the compliance of the privacy-by-design regulation principles as core driver. It will maximise interoperability potential with IoT & Big Data platforms as well as other blockchains. A specific business model, based on Open Commons principles and Distributed Governance, will be elaborated during the second half of the project, and project dissemination will pay specific attention to meaningfully engagement of +30 early adopters, firstly as members of TOKEN Observatory contributing to TOKEN policy learning co-creation, and, secondly, to be invited to join BCPaaS platform after the project ends, and launch roadmaps to bring DLT to other public services.

The massive increase in device connectivity and generated data has resulted in the proliferation of intelligent processing services to create insights and exploit data in a multi-modal manner. Currently, the most powerful data processing operates in a centralized manner at the cloud, which provides the ability to scale and allocate resources on demand and efficiently. Centralized processing and cloud hosting, bound and limit their services and applications to operate in a resource restricted manner, relying usually on large single entities to provide, i) Authentication, ii) Data storage, iii) Data processing, iv) Connectivity, v) Vendor-locked environments for development and orchestration. This significantly limits the user from its data governance and even identity management. Similarly, existing solutions for edge device authentication require a centralized entity to trust them and authenticate them, rendering a non-portable identification paradigm. OASEES aims to create an open, decentralized, intelligent, programmable edge framework for Swarm architectures and applications, leveraging the Decentralized Autonomous Organization (DAO) paradigm and integrating Human-in-the-Loop (HITL) processes for efficient decision making. The OASEES vision is to provide the open tools and secure environments for swarm programming and orchestration for numerous fields, in a completely decentralized manner. An important aspect in this process is identification and identity management, in which OASEES targets the implementation of a portable and privacy preserving ID federation system, for edge devices and services, with full compliance and compatibility to GAIA-X federation and IDSA trust directives and specifications. This situation solidifies the need for an integrated enabler framework tailored to the edges extreme data processing demands, using different edge accelerators, i.e. GPU, NPU, SNN and Quantum.