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: Working conditions

Exploring how technological, organisational and social changes reshape work, well-being and career paths.

About the topic

Digitalisation, Artificial Intelligence, hybrid working, as well as environmental and societal changes, are transforming the way we work. What consequences do these changes have on working conditions, well-being, motivation, and workers’ career paths? How do companies, workers’ representatives, and public authorities negotiate and regulate these transformations?

Our objectives

Our research seeks to answer these questions by analysing the resources available to workers, such as autonomy, training, skills and flexibility, as well as the constraints they face, such as the intensification of work, job insecurity, unemployment and restructuring, or even physical and psychosocial risks. It also examines differences between workers based on their socio-demographic characteristics and seeks to understand how transformations in work can have different consequences depending on the situation.

Executive listening to customer query on headset

Focus on

To understand these differences, our research focuses on how work is organised and managed, on industrial relations and collective bargaining, and on the national and European institutional frameworks within which companies and workers operate. Organisational and managerial practices can thus help to strengthen the resources available to workers or, conversely, exacerbate certain constraints. Institutions, public policies and social dialogue at company, sectoral, national and European levels can also shape the way transformations in work are implemented, regulated and experienced.

Research methodologies

Using different types of data to measure and understand changes in working conditions and their consequences

As part of our research, we draw on data from qualitative interviews, focus groups, surveys of employees and employers, administrative records, experiments and online job advertisements. We combine statistical and econometric analyses with qualitative methods. This complementary approach enables us to grasp both the scale of transformations in work and the mechanisms that help to explain their consequences.

Key Topic contributors