HumMingBird: Enhanced migration measures from a multidimensional perspective
Drivers
Funding
Horizon Europe
Geographic focus
Africa, Asia, Europe
Dates
1 December 2019 –
31 May 2024
About
Mapping, understanding and forecasting changing migration flows.
Key Findings
Big data provide important and detailed ‘real-time’ information about migration patterns at relatively low cost. Both the European Commission and Member States should invest in more systematic data collection from these sources.
Nowcasting and forecasting models based on big data and AI can yield fairly accurate figures about emerging migration flows, but these models are also less theory-driven.
The ethical and responsible use of big data on migration is essential in future research as well as in the monitoring of migration by public authorities.
Irregular migration is not only problematic for receiving countries; it also involves very high physical and mental costs.
News media contribute significantly to shaping attitudes towards migration. Positive narratives and reliable information strengthen trust and reduce fear.
Push and pull factors will likely persist in the future. Restrictive migration policies will at best discourage some potential migrants while simultaneously producing significant negative side-effects.
Restrictive immigration policies tend to create a vicious circle of exclusion that reinforces fear and separation. Inclusive policies, in contrast, create a virtuous circle of integration.
Highlighted Publications and Tools
Policy Brief– key findings on migration dynamics and policy recommendations
Policy Brief– inventory of existing migration statistics
Policy Brief – addressing the international migration data gaps
Policy Brief – alternative migration indicators based on big data
Policy Brief– effects of migration policies on migration trends and integration outcomes
Datasets – air traffic Indicators, indicators on media reflections; public opinion surveys