Gianni Anelli Lopez
Gianni Anelli Lopez completed his PhD at the Institute for Employment Research (IER) in 2025, with a thesis titled “Multidimensional Approach to Measuring Skill Shortages: Insights from the Chilean Labour Market”. His doctoral research developed and tested a multidimensional framework to detect and monitor skill shortages using high-frequency data from online job advertisements and jobseeker CVs. By applying natural-language processing, machine learning and Large Language Models, the study generated real-time indicators of labour market tightness across occupations and regions. The results demonstrated how online data can complement and anticipate traditional survey-based evidence, providing timely intelligence to support preventive rather than reactive skills policy.
His broader research examines how automation, digitalisation and evolving task requirements reshape the skills demanded in the workplace. He applies advanced analytics to extract actionable labour market intelligence from online recruitment platforms, supporting evidence-based recommendations for workforce development and public policy.
Gianni holds a BSc (2013) in Social Sciences and a Master’s degree in Sociology (2016) from the Pontifical Catholic University of Chile. Prior to joining IER, he worked for four years at the Centre for Public Policy at the same university, conducting research on technical and vocational education and the alignment between skill supply and employer demand.
Since 2024, Gianni has contributed to the Department for Education-funded project “Developing a Skills Taxonomy” (2024–2026), supporting the extraction, clustering and semantic classification of skills to inform UK skills policy and labour market planning. He has also participated in “Bridges 5.0”, a Horizon Europe project focused on developing indicators to measure the presence of Industry 5.0 practices in firms and assessing their implications for future skill requirements.
His wider research interests include labour market intelligence, skills shortages and mismatches, Industry 5.0 transitions, and the application of AI to enhance labour market policymaking.
Research interests:
- Automation and its impact on the labour market.
- Skill mismatches and shortages and their implications for public policies.
- The impact of new technologies and automation on the labour market.
- Empirical studies on vocational education and workforce transitions.
- Labour market trends in strategic economic sectors and their policy responses.
- Development of labour market information systems to enhance career guidance and planning.
Publications:
Anelli, G. (2023). But which skills? : Natural Language Processing tools and the identification of high-demand skills in online job advertisements. Work Organisation, Labour & Globalisation, Volume 17, Issue 2, 17:2, pp. 91-104.
Cardenas-Rubio, J. & Anelli-Lopez, G. (2024). Chat-GPT and the UK labour market: A year in review. Blog LMI For All, June 2024.
Cardenas-Rubio, J. & Anelli-Lopez, G. (2023). From Automation to Adaptation: Jobs at Risk of Exposure to AI in the UK. Blog LMI For All, November 2023.
Royal Statistical Society Conference – Harrogate, UK (Sep 2023): "Extracting skills in online job advertisements: using Natural Language Processing (NLP) tools on labour skills assessment".
Congress on Interdisciplinary Research in Education (CIIE) Chile (Aug 2017): "Universities and the formulation of new programmes: a case study on the emergence of biotechnology engineering in Chile".
