Funded by the European Union under the Grant Agreement no. 101061314.
Targeted policy responses for irregular migration require better knowledge about the characteristics of the irregular migrant population and dynamics of irregular migration, as well as about the effects of policy measures. Yet, quantitative data relating to irregular migration are scarce, often outdated and contested. The inadequacy of current data makes it challenging for stakeholders to develop and monitor policies. How do legal frameworks in different countries define migrant irregularity? What are the characteristics of irregular migrants in terms of age, gender, nationality or other socioeconomic variables? How can the effects of policy measures, such as regularisation, be assessed? MIrreM addresses the challenge of insufficient knowledge about irregular migration and regularisation in Europe by actively involving relevant stakeholders in every stage of this project – as co-creators of its results and as stakeholders to its mission.
In a rigorous comparative and multi-level study, we will assess the policies, data needs and estimates that define migrant irregularity in 11 EU member states, the UK, Canada, the USA and five transit countries. Using several coordinated pilots we will develop new and innovative methods for measuring irregular migration and ‘regularisation scenarios’, and we will explore if and how these instruments can be transferred or scaled up to other socio-economic or institutional conditions. Based on these insights, we will develop two public databases: a) a database with estimates on irregular migrant stocks and b) a database on irregular migration flows, that will also include data on regularisations. Together with the expert groups, we will synthesize our findings into a 'Handbook on data on irregular migration' and a 'Handbook on regularisation' that will support evidenced-based and targeted policymaking concerning irregular migration. Finally, we will develop training resources for policymakers, practitioners, journalists and early-career researchers.