LISER is pleased to share that it has been retained for three CORE projects in the category ‘Sustainable and Responsible Development’ totaling 1.8Mio€. 

The CORE programme is the central programme of the FNR, whose primary objective is to strengthen the scientific quality of Luxembourg public research in the country’s research priorities adopted by the Government on 20 December 2019.

These CORE projects were selected based on their innovativeness, high scientific quality and will be peer reviewed by international reviewers. The 3 awarded projects are the following:

HypeRent

Constance Uyttebrouck ( Department Urban Development and Mobility) for the project: « Hyper-commodified rental housing: Emergence of short-term, shared and digitized housing products as new accumulation modes in Luxembourg, HypeRent »

Funding amount: 529.000 €

Start/end date : 01.01.2025-31.12.2027

Description of project: The HypeRent project will investigate ‘hyper-commodified housing products’ (HCHPs), i.e. emerging, flexible rental housing forms catering primarily to young, international workers and resulting from the institutionalisation and professionalisation of short-term and shared housing arrangements using digitised management. The project aims to understand the emergence of these products (focusing on coliving, STR and high-density shared housing) and inform policymakers about their risks, using Luxembourg as a case study. The HypeRent project will explore how and why HCHPs both result from and contribute to a triple crisis of competitiveness (state), profitability (market) and affordability (community). It will contribute to understanding the strategies and behaviours of new real estate intermediaries, government support for emerging housing forms, and HCHPs’ effects on tenants in terms of exclusion and inequality.

Collaborators:

Uyttebrouck, Constance - Principal Investigator (PI)

Licheron, Julien - Research Associate

Zieba-Kulawik, Karolina - Research Associate

Gorczynska-Angiulli, Magdalena - Research Scientist

Paccoud, Antoine - Research Scientist

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POLHOUSING

Guillaume Bérard (Department Living Conditions) for the project: Political Economy And Public Policy Evaluation Of Housing POLHOUSING

Funding amount: 677.000 €

Start/end date: 01.01.2025- 30.09.2027

Description of project: This project investigates the impact of housing policies in France and Luxembourg, focusing on tax-based interventions (transfer taxes, property/land taxes, tax on mobilization, and tax on unoccupied housing) designed to address housing market challenges such as rising prices, shortages, and vacancies. The key research question is how effectively these policies achieve their goals and what their causal effects are on economic outcomes like transaction volumes, sales prices, tax revenues, and housing/land supply – but also on socio-economic outcomes including immigration, crime and spatial segregation. The methodology is based on econometric methods and intensive empirical work, with the conjoint use of surveys and comprehensive administrative data, to ensure that findings and policy recommendations are as accurate and appropriate as possible.

In a nutshell, the project’s findings will contribute to the policy debates on the housing public policy and housing-related issues, and provide a toolbox for policymakers to implement the optimal housing policies, to solve the housing crisis and improve the allocation of resources (housing and land).

Collaborators:

Bérard, Guillaume - Principal Investigator (PI)

Peluso, Eugenio - Scientific Advisor

Paccoud, Antoine - Research Associate

Licheron, Julien - Research Associate

Andreoli, Francesco - Scientific Advisor

Maniquet, François - Scientific Advisor

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TechnoD

Massimo Morelli (Department Living Conditions) for the project: Technodiscrimination (TechnoD)

Funding amount: 675.000 €

Start/end date: 01.03.2025.-  31.05.2027

Description of the project: TechnoD investigates how artificial intelligence (AI) contributes to discrimination in hiring practices, particularly along ethnic, linguistic, and gender lines. Discrimination in the labor market threatens social cohesion and perpetuates inequality.

The project combines theoretical modeling, data-driven analysis, and experimental AI interventions. It revisits classical economic models to distinguish between inequalities caused by effort and those driven by discrimination. Using real-world data from Luxembourg's Social Security System and job advertisement databases, researchers will employ advanced Natural Language Processing to detect biases in job ads over 20 years. Additionally, empirical experiments will measure how AI algorithms influence hiring decisions.

By addressing AI's role in labor market disparities, the project aims to support policy-makers in the development of strategies for fairer hiring practices, contributing to a more inclusive society in Luxembourg

Morelli, Massimo - Principal Investigator (PI)

Peluso, Eugenio - Senior Researcher

Verheyden, Bertrand - Research Associate

Menta, Giorgia - Research Associate

Munoz Herrera, Manu - Research Associate

Brant Chaves, Thiago - Junior Researcher

Docquier, Frédéric - Scientific Advisor

Gathmann, Christina - Scientific Advisor

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Discover all LISER projects on our research portal.