Learn more about LISER’s departments, shaping our contributions to societal and scientific challenges.

Discover research that examines key challenges in employment, economic trends and social dynamics within the labour market, offering valuable insights into these important areas.

Living Conditions

Engage with research that investigates the factors influencing living standards, with a focus on income distribution, housing conditions and social inclusion, providing evidence-based insights into these crucial areas.

Urban Development and Mobility

Studies urban dynamics to identify pathways of actors to stimulate sustainable urban transitions.

Appel à Communications: Les relations industrielles dans un monde du travail en mutation

Learn more about our cross-departmental programmes, which combine interdisciplinary expertise to tackle transversal challenges.

Crossing Borders

Discover how our research into the complexities of cross-border mobility is advancing knowledge, shaping policy, benefiting society and addressing global challenges.

Health and Health Systems

Engage with research dedicated to enhancing public health, improving healthcare accessibility, and promoting equitable and efficient health solutions at a global scale.

Discover LISER's initiatives, driving scientific progress and fostering meaningful collaborations with stakeholders.

Doctoral programmes

Meet a dynamic community of researchers addressing critical societal challenges through innovative and interdisciplinary studies. Our doctoral programme offers exceptional training, mentorship and opportunities to shape impactful policies and drive innovation in diverse fields.

Data Science and Simulation

The Centre of Competence for Data Science and Simulation (DSS) is a cross-departmental initiative. Our ambition is to develop infrastructure, tools and competences in in machine learning, big data, microsimulation and geoexperimentation to conduct excellent research and advise policy-makers as well as stakeholders.

cc-EXPAR - Competence Centre in Experimental and Participatory Research

The Competence Centre in Experimental and Participatory Research (EXPAR) is a cross-departmental initiative. Our ambition is to improve awareness of and skills in experimental and participatory research methods to strengthen LISER’s position at the forefront of internationally high quality, scientifically rigorous and societally relevant research.

Labour Market

Topic: Digital Transition

Artificial Intelligence (AI) and frontier technologies are reshaping economies, workplaces, and home offices, influencing productivity, employment, and job structures.

AI and the future of work

Advances in Artificial Intelligence (AI) and other frontier technologies are reshaping economies, workplaces, and outcomes worldwide. This digital transformation presents both opportunities and challenges at macroeconomic, organizational, and individual levels, influencing productivity, employment structures, and economic growth. Institutions and policies play a crucial role in shaping these impacts, including efforts to accelerate the adoption of new technologies across economic sectors and to adapt the workforce to these new challenges. The increasing digital transformation of work also contributes to shifts in work environments, including greater flexibility in where and how tasks are performed. Hybrid work arrangements, supported by digital tools, influence factors such as job satisfaction, job stress, and productivity.

Leveraging big data and AI to uncover labor market trends

Our research aims to deepen the understanding of labor market trends. To address our research questions, we leverage surveys and large, unstructured big data sources—such as online job postings, organizational web data, and other web-scraped data—linked with administrative records. In addition to traditional regression and causal analysis, we employ advanced data science techniques to process and analyze these big data sources, including natural language processing, machine learning, and generative AI.