HumMingBird: Enhanced migration measures from a multidimensional perspective
HumMingBird's overall aim is to improve understandings of changing nature of migration flows and the drivers of migration, to analyse patterns and motivations and new geographies and to calculate population estimates and determine emergingtrends and future trends and accordingly identify possible future implications of today’s policy decisions.
Projects ambitions are to identify the uncertainties and reappraise, to explore the reasons why migration predictions may not hold and to demonstrate non-traditional data sources for migration research.
The project’s objectives can be summarised as follows:
- to identify key uncertainties and reappraise the migration concepts through a profound review of migration theories and measures;
- projections based on the analyses of the patterns, motivations and modalities of migration and the changing nature of flows and factors;
- to widen the EU’s viewpoint on the policy migration nexus as to possible future implications of today’s policy decisions and suggesting areas for future policy initiatives;
- qualitative scenario building on the stories of migrants en route to complement quantitative scenarios;
- to validate big data technologies to provide dynamic and novel rich evidence on various aspects/factors that might help estimate stock migration and migration flows;
- to merge knowledge of the quantitative and qualitative approaches to provide a holistic view of migration and migration processes, to delineate some of the major global developments around migration in the future, and to draw out policy implications as to preparedness for possible migration futures.
HumMingBird's network brings together 16 research parties from 10 countries, universities, SMEs, private companies, NGO networks, a European Research Infrastructure Consortium (ERIC). The multidisciplinary consortium combines a wide range of scientific disciplines (from anthropology and political sciences to statistics, telecom engineering and computer sciences), diversified experience, knowledge and networks.
The project commenced in December 2019 and will last four years.
It is funded by the European Union’s Horizon 2020 Research and Innovation Programme and coordinated by the University of Leuven.
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