Imagine trying to open a door, only to find it locked, and then moving to another door that is also locked for the same reason. This research looks at how certain groups of people face these 'closed doors' repeatedly across different parts of their lives, like finding a job or a flat. It studies how these barriers stack up and how families, not just individuals, are affected by these patterns.
Companies often fail to attract and retain diverse talent because of hidden, cumulative barriers in hiring and housing. This leads to a smaller talent pool and potential legal risks regarding discrimination.
A set of synchronized correspondence studies and data collection protocols covering childcare, housing, and employment domains.
If you are a recruitment firm dealing with unconscious bias in hiring — this project developed data on structural discrimination that helps identify where gatekeepers block qualified candidates. This allows companies to refine their screening processes to avoid losing talent from minority groups.
If you are a rental agency dealing with systemic bias in tenant selection — this project developed field experiments in the housing domain that reveal how prejudice affects leasing. This helps agencies implement fairer, data-driven selection criteria.
If you are a childcare provider dealing with accessibility gaps for minority families — this project developed a multi-level analysis of childcare facilities that highlights barriers to entry. This enables operators to expand their client base by removing discriminatory hurdles.
Based on available project data, there is no pricing information provided as this is a research grant funded by the EU.
The project uses population-level secondary survey data and cross-country analysis across 9 countries, suggesting the findings are designed for broad, systemic application.
Based on available project data, no specific patents or licenses are mentioned; the project focuses on research objectives and data collection.
The project analyzes policy and institutional factors that contribute to discrimination, which can help businesses align with EU anti-discrimination laws.
The project period runs from 2023-04-01 to 2026-06-30, with initial infrastructure and research design completed in the first 12 months.
The consortium is heavily academic, consisting of 7 universities and 2 research institutions, with only 1 industry partner and 1 SME. This 10% industry ratio indicates the project is primarily driven by social science research rather than immediate commercial product development, though the inclusion of 9 countries provides a wide geographic data set.
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