Gianni Anelli Lopez started his PhD at the IER in 2020, investigating trends in skills demanded by employers in the Chilean labour market. The automatization of work is a rising global phenomenon shaping the skills required in the workplace. In this context, Gianni's research focuses on leveraging techniques such as text mining, machine learning, Large Language Models (LLMs), and other AI algorithms to extract value from data in online labour platforms. These approaches complement data from social surveys, aiming to deliver actionable recommendations for worker training in response to evolving skill demands and other related public policies.

These techniques could give faster ways to analyse data from the labour market in a complementary way to the information from social surveys, hoping to deliver appropriate recommendations to train workers in new skills required.

Gianni holds a BSc (2013) in Social Sciences and a Master's degree in Sociology (2016) from the Pontifical Catholic University of Chile. His studies explored topics related to higher education and the transition to the workforce, culminating in a master's thesis on these areas.

After completing his studies, he worked for four years at the Centre for Public Policy at the same university, conducting research on technical-professional education and the mismatches between skills supply and labour market demands in Chile.

In 2024, Gianni collaborated with the IER's project "Developing a Skills Taxonomy" (March 2024 – March 2026), funded by the Department for Education, working alongside Peter Elias, Andy Dickerson, Neil Bachelor, Luke Bosworth, Rosie Day, Stef Poole, and Lynne Marston. In this project, Gianni contributes to coding for the extraction, clustering, and analysis of skills, with the goal of creating a comprehensive taxonomy to inform public policy and workforce development.

 

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".