The world of work is undergoing rapid transformation. Digitalization, automation, and the expansion of big data are reshaping labour markets in ways that traditional statistical tools cannot fully capture. To respond to these shifts, labour statisticians, labour market analysts, managers, and policymakers require innovative approaches that go beyond conventional analysis methods to be able to respond to the rapid transformation in the world of work. Artificial Intelligence (AI), machine learning, and generative AI are emerging as powerful instruments that can enable labour statisticians and labour market analysts generate timely insights, monitor labour market trends, and support evidence-based decision-making to promote decent work and social justice for all. This course provides participants with a basic understanding of how AI, machine learning, and generative AI can support government officials, labour statisticians, data analysts, social partners, and maangers to better measure the labour market with higher efficiency and adaptability to be able to respond to the rapid labour market transitions in the world of work. It highlights how established sources of information-such as household surveys, censuses, and administrative data-can be enriched with AI technologies, including machine learning, big data, online job postings, and web-based content. Through a combination of lectures, tutorials, and practical exercises, participants will gain hands-on experience working with various AI tools and softwares1. At the same time, the programme emphasizes the critical ethical, privacy, and governance questions that accompany the use of big data and AI in labour market analysis. By blending theoretical knowledge with practical applications, the course equips participants with the tools needed to analyze and communicate insights about the evolving world of work.
National Statistical Offices (NSOs); Ministries of Labour and related Institutions (such as labour observatories); Governmental agencies in charge of labour market data analysis and SDG national reporting; ILO Social Partners (Employers' and workers' organizations), Research and academic institutions; International organizations; Development agencies; in addition to Non-governmental organizations.