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: Education, training and upskilling

To promote sustainable and inclusive growth in Luxembourg and Europe, we leverage big data and AI to track emerging skill needs, as well as experimental methods to boost lifelong learning take up and evaluate the impact of training programs on career paths and productivity.

Aligning skills with structural change in Europe’s labor markets through big data and RCTs

In Europe—especially in Luxembourg—the green and digital transitions demand a workforce equipped with the right skills. But what strategic investments are needed to ensure workers, firms, and institutions can drive technological change and sustain long-term prosperity?

To bridge the gap between technological progress and workforce readiness, we produce state-of-the-art research as well as innovative metrics that track labor market trends and inform forward-looking policies. To achieve this, we collaborate with key stakeholders—ministries, training centers, and the private sector—and use a variety of methodologies.

Mapping AI adoption through big data

First, we leverage big data, combining firm-level web-scraped information, surveys, and official registers to map AI adoption patterns across multiple European countries. This approach not only highlights cross-country differences in technology uptake but also uncovers key organizational challenges, such as internal restructuring needs and skill gaps. By training machine learning models on firm data, we can predict which companies are most likely to adopt AI and how this impacts productivity, workforce transformation, and broader industry shifts.

RCTs for workforce upskilling

Second, we conduct randomized controlled trials (RCTs) to assess the impact of targeted interventions on workers, job seekers, and firms. These include personalized skill development suggestions, role-model testimonials, and financial incentives. By identifying and addressing barriers to reskilling and upskilling, we generate evidence-based insights to refine training programs and craft more effective policy recommendations.

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A dual approach to workforce transformation

Together, these two approaches provide a comprehensive perspective on workforce transformation. While big data analysis identifies structural trends, predicts AI adoption, and maps emerging skill demands, RCTs focus on individual and organizational behavior, revealing how different interventions can effectively motivate and support workers and firms in adapting to change. By combining these methods, we not only diagnose skill gaps and organizational barriers but also test concrete solutions, ensuring that our policy recommendations are both data-driven and empirically validated.

Explore all of our projects