An insightful exploration into the future of labour market intelligence at this Cedefop research conference, organised in cooperation with Eurostat, and hosted by the European Economic and Social Committee (EESC) in Brussels on 1 April 2025. This conference highlighted the innovative use of web data in shaping next-generation labour market and skills analysis.
As digital transformation accelerates, online job advertisements (OJAs) and other web-based data sources have become essential tools for understanding evolving employment trends and employers’ skill needs. With advancements in big data analytics, natural language processing, and machine learning, researchers now have unprecedented opportunities to provide real-time labour market insights. A key focus of this research conference was using online information to shed light on the skills impacts of the twin (digital and green) transition, and using such information for designing and championing vocational education and training (VET) as a pathway to quality jobs. By leveraging web-based labour market intelligence, policymakers and researchers can better align training initiatives with emerging skill demands, ensuring a workforce equipped for the future.
At the research conference, researchers and analysts from across Europe showcased new work in this domain and offer fresh perspectives on occupational, sectoral, and regional labour market trends. The event also offered opportunities for collaboration, knowledge exchange, and networking among experts dedicated to advancing labour market monitoring and skills intelligence.
Event details
Tiedostojen lataus
Programme
Keynote speech - Cedefop advancements in OJA driven skills intelligence (Adam Tsakalidis)
Session 1.1 - In-Demand Skills: A shield against automation – Evidence from Online Job Vacancies (Tomáš Oleš)
Session 1.2 - Work contracts determinants and labour market outcomes in Spain (Robert Pater, Fernando Nunez, Ewa Gałecka-Burdziak, Herman Cherniaiev, Carlos Usabiaga)
Session 1.3 - Occupations and skills for the digital transition: A forecast of recruitment difficulties in an Italian region (Francesco Bogazzi, Silvia Duranti, Mauro Pelucchi)
Session 1.4 - An enhanced job and skills modelling methodology for job role clarity (George Stalidis, Neil Towers)
Session 1.5 - Leveraging online job advertisements for green skills analysis in France (Emiline Roger, Yannis Bouachera)
Session 2.1 - The career bridge: Mapping job transitions and skill gaps with big data from the web (Ettore Colombo, Anna Clara Gatti, Sophie Gvasalia, Elena Magrini, Mauro Pelucchi, Simone Perego)
Session 2.2 - Innovative approach to measuring skills shortages: Insights from the Chilean labour market (Gianni Anelli)
Session 2.3 - Building new data to understand the impacts of skill shortages on country-level performance (Seamus McGuinness, Elisa Staffa, Lorcan Kelly, Paul Redmond)
Session 2.4 - Covering gaps in job vacancy statistics using online job advertisements: A quality assessment (Sofie Homa, Denis Leythienne)
Session 3.1 - Bridging the gap: Analysing labour market needs and VET qualifications in Slovenia through job advertisements (Anja Dolžan, Barbara Kunčič Krapež, Barbara Velkov, Majda Stopar)
Session 3.2 - What can online job adverts tell us about the demand for transversal skills in Ireland’s labour market? (Nora Condon)
Session 3.3 - Regional patterns of skill demand in the European labour market: A spatial analysis of job vacancy data across NUTS level 3 regions (Ioana Gabriela Doleanu, Diego Giuliani, Ivano Bison)
Session 3.4 - Let’s get green: Understanding green skills and jobs through online job advertisements (Emilio Colombo, Alessia De Santo, Francesco Trentini)
Session 3.5 - Exploring transversal skills in online job advertisements: Insight from web data analysis in Spain (Stephanie Carretero-Gómez, Milagrosa Sánchez-Martín, Iris Maria Muñoz-del-Pino)
Session 4.1 - Moving past skills analysis: An LLM-driven, scalable, explainable, sustainable, human-in-the-loop pipeline for extracting latent intelligence from vacancies (Alan Berg, Stefan Mol, Francesca Manzi, Tanja Hentschel)
Session 4.2 - Online job advertisements deduplication using large language models (Jakub Żerebecki, Mikołaj Tym)
Session 4.3 - Online job advertisements classification using encoder-like large language model (Mikołaj Tym, Jakub Żerebecki)
Session 4.4 - How much to offer? (Miroslav Štefánik, Martina Halousková, Zuzana Košťálová, Lukáš Lafférs, Štefan Lyócsa)
Contacts
