A documents annotation IT tool to aid experts in manually annotating documents with comprehensive metadata
Deliverable D3.1 presents the EU-ALMPO Documents Annotation Tool, an AI-assisted tool developed within WP3 to support experts in annotating documents on Active Labour Market Policies with structured metadata. Building on the project’s analytical and data collection work, the tool helps transform a broad collection of studies, policy reports and evaluation material into a validated, machine-interpretable […]
A Recommendation Report for the development of AI-based matching tools discussed in ad hoc community of practice
Deliverable D2.2 presents recommendations for developing AI-supported tools for Active Labour Market Policies and skills-matching systems. Based on WP2 analysis, national Communities of Practice and the CoP Survey, it translates stakeholder needs and policy challenges into practical guidance for future EU-ALMPO tools. The deliverable shows how AI can support policy design, matching, monitoring and evaluation, […]
An Analytical Model for Designing and Implementing ALMPs
This deliverable introduces the EU-ALMPO analytical framework, a core reference model developed to support the understanding and addressing of skills mismatch through Active Labour Market Policies (ALMPs). It provides a structured approach to analysing how labour market imbalances emerge and how policies can respond more effectively. The framework organises key elements such as policy objectives, […]
Ten (2X5) In-Depth Case Studies for the Assessment and Description of National Context, Focusing on Skills Strategies and Skills Matching Policies and Tools (Including Use of AI)
Deliverable D2.1 presents a comparative analysis of ten in-depth case studies across five countries, examining skills strategies and ALMPs in different national contexts. Developed under WP2, it applies a shared methodology combining desk research and stakeholder input. It supports Tasks 2.1–2.3 and informs Task 2.4, providing a strong analytical basis for the Communities of Practice […]
First Ethics Report
The First Ethics Report presents the EU-ALMPO project’s ethics framework and reviews how ethical principles, data protection, accountability, stakeholder engagement, and AI-related risks are addressed across the project. Why it matters This report shows how EU-ALMPO embeds responsible AI, transparency, fairness, and data protection into its research and technical development. It also identifies key areas […]
Project Management Plan
Deliverable D9.2 presents the EU-ALMPO Project Management Plan, developed under WP9. It defines the project’s governance structure, coordination procedures, quality assurance mechanisms, reporting rules, financial management approach, and internal communication processes. It serves as a practical guide for partners throughout project implementation. Why it matters This plan provides the operational framework that ensures effective coordination, […]
A Data Management Plan
Deliverable D9.1 presents the EU-ALMPO Data Management Plan developed under WP9. It defines how project data will be collected, processed, stored, protected, shared, and preserved throughout the project lifecycle, in line with Horizon Europe requirements, FAIR principles, GDPR, and ethical AI standards. Why it matters The deliverable establishes the framework for responsible and transparent data […]