Anticipating, evaluating and learning: key pillars of forward‑looking active labour market policies

By: Eugenia Atin, Project Manager at Prospektiker‑LKS  Guest contribution prepared for the EU-ALMPO project. This article was written by Eugenia Atin, Project Manager at Prospektiker-LKS. The EU-ALMPO consortium warmly thanks her for contributing her time and expertise to the project’s knowledge-sharing activities.  In recent years, those involved in the design and implementation of public employment policies have shared a growing sense that traditional […]

Policy Brief: Understanding Skills Matching in Practice: Insights from 10 European Case Studies

This policy brief presents insights from 10 European case studies examined within the EU-ALMPO project, focusing on how skills matching interventions are designed and implemented across different policy contexts. Drawing on examples from Germany, Greece, Italy, Poland, and Spain, the brief explores what works in practice, for whom, and under which conditions.  It highlights key mechanisms that influence […]

System Psychodynamics in complex technological projects – concepts and ideas used creating and making sense of Theory of Change

Dr. Mannie Sher  The Horizon Europe EU-ALMPO project provides an exemplary contemporary setting through which to explore the relevance of system psychodynamics in complex, technologically mediated environments. The project seeks to address labour and skills shortages across the European Union by designing an AI-enabled observatory capable of informing and supporting more effective Active Labour Market Policies (ALMPs). Although its remit is […]

Policy Brief: Stakeholder Engagement for AI-Supported Labour Market Policies

This policy brief explores how the EU-ALMPO project is integrating stakeholder insights into the development of AI-supported tools for labour market policies. It highlights key findings from the Communities of Practice Sessions and the Communities of Practice Survey, which aim to improve the design, implementation, and evaluation of Active Labour Market Policies (ALMPs) across Europe. […]

EU-ALMPO Launches Communities of Practice to Shape AI-Driven Skills Matching Tools

The EU-ALMPO project, a Horizon Europe initiative bringing together social sciences and artificial intelligence, is entering a new phase in April 2026. As part of it, it will launch its Communities of Practice (CoPs) focused on AI-supported skills matching policies. These won’t be typical meetings. Instead, they are designed as hands-on, collaborative spaces where stakeholders can share real experiences and help share AI tools that will be tested in the second half of […]

EU-ALMPO 3rd TPM in Patras: From Progress to Real Impact

The 3rd Transnational Project Meeting of EU-ALMPO took place in Patras, Greece, from 17 to 19 March 2026, marking a decisive transition from development to real-world implementation. Partners came together not only to review progress, but to align on the next phase: turning AI-driven tools into practical solutions for labour market policy.  Significant progress has been […]

EU-ALMPO Launch Event: Harnessing AI to Strengthen Labour Market Policymaking

On 10 February 2026, the Horizon Europe project EU-ALMPO – EU Active Labour Market Policies Observatory held its high-level Launch Event titled “Harnessing AI in Supporting Labour Market Policy Making.”  While described as a “Launch Event,” the project officially began one year earlier. The event therefore marked an important milestone, signalling the transition from foundational […]

An Analytical Framework for Addressing Skills Mismatch through ALMPs

Developing the EU-ALMPO Analytical Framework  Analytical frameworks are widely used to structure reasoning in a clear and coherent manner. By drawing on shared categories and conceptual dimensions, they facilitate the understanding of complex phenomena and enable evidence to be assessed consistently across different contexts. For these reasons, such tools are particularly valuable in the field […]

The Challenge: Making AI Reliable

In the domain of public policy, accuracy is paramount. A “hallucination”—where an AI invents facts—is not merely a technical glitch but a fundamental liability that undermines the credibility of policy analysis. To address this challenge, modern AI systems employ Retrieval-Augmented Generation (RAG), a paradigm that requires the system to consult relevant documents before generating responses […]