Imagine trying to guess why people move houses without asking them or looking at the real reasons, like job openings or family ties. This work looks at the actual triggers that make people move or stay put, especially between Africa and Europe. It replaces guesswork with a map of real-life drivers to help governments and companies plan better for the future.
Companies and governments rely on oversimplified assumptions that migration is driven only by poverty. This leads to reactive policies and failed labor recruitment strategies that ignore real drivers like labor demand and network dynamics.
A heuristic model identifying conditions for migration and a dataset based on the analysis of 180+ policy documents.
If you are a staffing agency dealing with unpredictable labor shortages — this project developed a heuristic model that identifies conditions shaping migration decisions. This helps you predict where talent will come from based on labor demand and network dynamics.
If you are a government body dealing with reactive, ineffective border policies — this project analyzed 180+ policy documents to show where evidence is neglected. You can use these findings to create forward-looking policies that account for population aging.
If you are a fintech company dealing with fluctuating migration flows — this project examined variables influencing the decision to migrate. This allows you to better target financial instruments based on actual migration aspirations rather than simple poverty assumptions.
Based on available project data, no pricing or commercial costs are mentioned as this is a research project funded by an EU contribution of EUR 2,701,445.
The project provides a heuristic model and datasets based on 180+ documents and data from 7 countries, which can be scaled as a knowledge base for policy and business planning.
Based on available project data, specific licensing terms are not provided, though it is a HORIZON-RIA project involving 14 partners.
The project identifies gaps in how policymakers apply knowledge and suggests moving from reactive surveillance to evidence-based governance.
The project runs from 2023-03-01 to 2026-06-30, with major data collection completed between March 2024 and April 2025.
The consortium is heavily academic, consisting of 8 universities and 4 other research-oriented entities, with only 1 industry partner (7% ratio). This suggests the output is primarily theoretical and data-driven rather than a commercial product, though the presence of 10 countries ensures a broad geographical data set.
Contact Erasmus Universiteit Rotterdam
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