From Concept to Practice: The CCAM Observatory Takes Shape

In our earlier article introducing the CCAM Employment & Skills Observatory, we presented the vision behind one of RESKILLING’s central tools: a dynamic knowledge resource supporting Europe in understanding and preparing for the employment and skills implications of Connected, Cooperative and Automated Mobility (CCAM). That vision has now moved into practice, with the first operational version of the Observatory developed, validated and integrated into the RESKILLING website.
The Observatory brings together RESKILLING results, selected external reports, scientific and policy literature, stakeholder-generated knowledge and training-related resources within a progressively enriched knowledge base. Rather than functioning as a conventional repository, it is designed to help different stakeholder groups explore evidence on affected occupations, emerging roles, changing skills requirements and reskilling needs in a more accessible and targeted way.
A technical achievement is the implementation of an AI-powered search engine based on Retrieval-Augmented Generation (RAG) and a modular agent-based architecture. User questions are checked against the Observatory’s scope, refined where needed, matched with relevant evidence and answered on the basis of retrieved sources. This controlled workflow helps reduce unsupported or overly generic responses while maintaining traceability to the underlying evidence. Users can interact with the Observatory through natural-language questions and refine searches using contextual filters such as stakeholder type, job domain, skills category, geographical dimension, time horizon and type of impact. The Observatory is also connected to the RESKILLING Inventory, strengthening access to project-generated knowledge.
Transparency, traceability and usability have been key priorities. Internal testing and partner validation covered semantic retrieval, filtering, answer generation, source grounding, interface clarity and relevance to realistic stakeholder needs. This process resulted in several improvements, including clickable source links, a source/PDF viewer with highlighted evidence passages, publication years displayed alongside references, example queries, improved response speed and user-feedback functions through ratings and comments. Open document uploads and unrestricted web search have deliberately not been enabled at this stage, as further governance and quality-control arrangements are required to safeguard reliability and scientific credibility.
The Observatory has also started reaching the wider research community. Its methodology and role in supporting the CCAM workforce transition were presented during the TRA2026 poster session through the paper “Preparing Europe’s Transport Workforce for CCAM – The RESKILLING Employment & Skills Observatory”.
The current version is an important milestone, but not the endpoint. The next phase will focus on enriching the knowledge base, refining usability and feedback mechanisms, and preparing more personalised and recommender-oriented functionalities.
Explore the CCAM Employment & Skills Observatory