Objective
Labor standards are key to ensuring workers have fundamental rights. They protect dignity, boost low-wage earnings, help close gender and racial wage gaps, and mitigate employers' monopsony power. Yet, labor rights enforcement in Europe faces important limitations. While evidence suggests non-compliance remains common, this evidence is constrained by incomplete data, limiting our understanding of labor rights violations and the development of new enforcement tools. RIGHTS addresses these limitations by: (1) using EU-LFS data to establish comprehensive evidence on minimum wage non-compliance across Europe; (2) conducting original survey research on a broad set of wage and hour labor standards violations in Germany; (3) experimentally testing how providing legal information to workers affects workers' awareness of violations and intentions to report them; (4) identifying drivers of firm compliance and worker complaint behaviors; and (5) developing machine learning models to predict non-compliance risk in France and Germany for enforcement targeting. Standing at the intersection of law, economics, public policy, and computational sciences, RIGHTS will provide the European labor inspectorates with new methods to target establishments for inspection based on the predicted risk of labor rights violations. RIGHTS will advance scientific knowledge about labor standards compliance and contribute to the modernization of European enforcement practices, and is therefore aligned with the priorities in the European Pillar of Social Rights.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences political sciences political policies public policies
- natural sciences computer and information sciences artificial intelligence machine learning
- social sciences law
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75341 PARIS CEDEX 07
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.