ITU-T

The primary gap being addressed is the lack of standardized interfaces for Authentic Sources in the European Digital Identity (EUDI) ecosystem. Despite the legal requirement set out in eIDAS 2.0 (Article 45e) for Authentic Sources to provide such interfaces, there is currently no available specification that defines how these interfaces should be designed or implemented. This gap has been officially recognized in the CEN TC224 WG20 “European Digital Identity Wallets Standards Gap Analysis” and significantly impedes interoperability across Member States.

This fellowship contributes to the enhancement of the ITU-T X.1281 standard, the project supports the creation of secure, trusted, and interoperable mechanisms for verifying attributes from Authentic Sources. This is crucial for the deployment of the EUDI Wallet, a flagship initiative under the Digital Single Market strategy aiming to be available to all EU citizens and residents by 2026.
The key challenges are related to:
Interoperability: The lack of standardization leads to fragmented implementations across Member States, impeding seamless cross-border operations.
Security and Trust: Verifying sensitive personal attributes (like diplomas or driving licenses) requires secure, privacy-preserving, and auditable mechanisms that are hard to implement consistently without a shared standard.
Legal and Technical Fragmentation: Authentic Sources vary widely across jurisdictions in terms of legal frameworks, data models, and technical capacities. A harmonized standard must respect these national differences while ensuring a unified operational framework at the EU level.

The standardization of AI-native networks would ensure the interoperability principle stated in the Ministerial Declaration of Tallinn.

The technology provides a permanent low-cost and low-energy routed multi-hop communication network with moderate data rates. LoRa mesh networks allow a new kind of distributed IoT applications in the long range IoT layer. One of the application areas of LoRa mesh networks is the emerging field of distributed embedded machine learning. LoRa mesh networks are not yet standardised. To initialise standardisation, we will introduce the LoRaMesh networks as a design and reference implementation.

A clear trend is being formed of moving from vertical energy management that distributes energy in a wired, centralized manner towards more open and distributed architectures adopted close to the edge of the population networks, which among other technologies also utilize the wireless power potential. In this new paradigm, energy will be distributed, shared and managed locally, thus closing the distance between citizens and the available energy sources.

The work items of Question 5 of ITU-T Study Group 20 collectively support significant societal impact by advancing the integration of intelligent, sustainable, and transparent digital systems. The development of standards such as the Digital Product Passport for ICT goods (Y.DPP-ICT and YSTR.OS-DPP-ICT) promotes circular economy practices, enabling traceability, sustainability, and responsible consumption. Initiatives like Y.CIP enhance public safety through metaverse-based emergency response systems for chemical industrial parks, leveraging immersive technologies for disaster preparedness and risk management. Frameworks for distributed intelligent computing (YSTR.DIC) and embodied artificial intelligence (YSTR.EAI) contribute to the evolution of smart sustainable cities by enabling efficient resource utilization and human-centric automation. Meanwhile, the Hybrid AI-based Oral Assessment Platform (YSTR.AIOAP) reflects the application of ethical AI in education and skills evaluation. Together, these efforts foster safer, smarter, and more sustainable digital societies aligned with the UN Sustainable Development Goals.