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Research project

QuantMig: Quantifying MIgration Scenarios for Better Policy

Project overview

Migration is complex and uncertain. To be effective, migration policies need to explicitly acknowledge these two features of contemporary mobility. This is especially crucial as migration remains a top policy priority area across Europe, with many policy actions being proposed and implemented for different types of flows on the voluntary-forced migration continuum.

Comprehensive quantitative scenarios offer an excellent analytical tool for exploring different migration futures, as long as they explicitly acknowledge the complexity and uncertainty of the processes they aim to represent. Preparedness for various migration contingencies requires using appropriate analytical tools for addressing the challenges posed by the barely predictable nature of migration flows. Such tools need to be characterised by high levels of both conceptual and technical sophistication, and at the same time, their results need to be easy to comprehend and communicate to facilitate uptake by stakeholders. Drawing on the unique expertise of its consortium members, QuantMig will deliver such tools, providing bespoke solutions for describing, explaining and managing migration.

The project will achieve its overarching aim by advancing the methodology of scenario generation and by furthering the understanding of conceptual foundations of European migration flows. The knowledge base for scenarios will include a comprehensive review of key migration drivers in origin, destination and transit countries, with particular focus on mobility of third-country nationals, various aspects and stages of migrant decision making, and on the characteristics of prospective migrants. Additionally, we will derive a distinctive set of custom-made harmonised statistical estimates of migration flows. We will also develop and apply rigorous and innovative methods for simulating migration flows, describing scenario uncertainty, and providing early warnings.


Lead researcher

Professor Jakub Bijak

Professor of Statistical Demography
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Other researchers

Professor Peter Smith

Professor in Social Statistics
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Professor Jackie Wahba

Professor of Economics
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Collaborating research institutes, centres and groups

Research outputs