D3.5 – Knowledge areas mapped to SDOs across INSTAR geographical regions v2.0

WP3 of the INSTAR project is dedicated to advancing studies across key technological areas and geographic regions, with a specific focus on Japan, USA, South Korea, Canada, Singapore, Australia, and Taiwan. The work package aims to identify critical Standards Development Organisations (SDOs) and key standards related to Horizon Europe’s key technological domains: Artificial Intelligence (AI), Beyond 5G and 6G (6G), Cloud-Edge-IoT (CEI), Data, Cybersecurity and eID (Cybersec-eID), and Quantum technologies.

Task 3.1, a key element of WP3, focuses on gathering and analysing outputs from international expert-led task-forces across these geographic regions.

Deliverable D3.5, titled Knowledge Areas Mapping to SDOs v2.0, documents the progress of the task 3.1 work progress across all INSTAR workstreams from Month 7 to Month 14. This deliverable builds on the knowledge area definitions outlined in D3.1 (Month 6) and emphasizes the findings of the INSTAR European task-forces. It reports on the mapping of the key technological domains’ knowledge areas in terms of interest towards the selected EC digital partnerships, and on the reporting of these knowledge areas to SDOs and standards, thus highlighting work developed in INSTAR towards the harmonisation of global standards.

The deliverable also highlights the key findings and recommendations collected across the INSTAR European Task-forces, providing valuable insights for advancing global standardization efforts in the technology domains promoted by the European Commission in the context of Horizon Europe.

Finally, the deliverable ranks the knowledge areas based on their relevance for collaboration with various geographic digital partnerships, considering the level of engagement observed with sub-topics within each knowledge area.

Key observations across workstreams can be summarised as follows:

AI:

• Regulatory adoption is highest for AI risk management and ethical frameworks; gaps remain in human- AI collaboration and conformity assessment.
• In terms of technological areas and their sub-topics there is strong possibility for engagement towards ROK, Japan, USA, Canada.

Cybersecurity:

• There is a strong knowledge area mapping to Singapore, particularly in digital identity, cybersecurity, and regulatory alignment.
• The knowledge area mapping in cybersecurity and EU regulatory knowledge shows that there is the capability for strong engagement towards Japan and Canada.
• The digital identity and overall cybersecurity knowledge area mapping determines that these knowledge areas are relevant towards the cooperation with USA and ROK.

Data

• The analysis of Data governance shows good capability for the engagement towards Japan, ROK, Canada.
• Data spaces is relevant to be addressed in collaborations with Singapore.
• Gaps exist in Data Transactions, Fairness, and Representativeness, which require more attention for ethical and reliable AI.