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.

Policy Lab

The LISER Policy Lab is an innovative initiative that integrates rigorous scientific research into policymaking to support decision-makers in tackling major challenges in areas like the economy, climate, health, digitalisation, housing, education, and social cohesion.

LISER Policy Lab

Topic: Quasi-experimental method

Evaluating policy impacts using observational data and statistical techniques without full randomisation across regions or sectors.

About the method

Quasi-experimental methods enable robust policy evaluation without the need for randomisation. By using observational data and statistical techniques, we estimate the causal impact of policies, particularly when RCTs (randomised control trials) are not feasible. This approach helps refine policy designs and guide decisions on scaling interventions.