HumMingBird - Enhanced migration measures from a multidimensional perspective

Project duration: December 2019 – May 2024

Call/Program/Scheme: HORIZON2020

Client / Financier: European Commission

Participating institutions:

Katholieke Universiteteit Leuven (KU Leuven), Belgium

Universiteit Utrecht, The Netherlands

Universidad de Salamanca, Spain

Otto-Friedrich-Universitaet Bamberg, Germany

CESSDA ERIC, Norway

Malmo Universitet, Sweden

Turkcell Teknoloji, Turkey

GMV Innovating Solutions LTD, UK

Migration Policy Group, Belgium

European Network of Migrant Women, Belgium

White Research SPRL, Belgium

Universita di Pisa, Italy

Vrije Universiteit Brussel, Belgium

Universitat Zurich, Swizeland

Italian Coalition for Civil Liberties and Rights, Italy

Caritas International, Belgium

Principal investigator (PI): Emeritus Professor Dr. Ides Nicaise, HIVA Research Institute for Work and Society, Katholieke Universiteteit Leuven

The role of IEN in the project: Third-party

IEN project team (manager/coordinator, team members): 

dr. Milena Lazić (local coordinator for Serbia)
dr Aleksandra Bradić-Martinović
Katarina Jovanović

Description:

The HumMingBird project addresses the growing complexity of migration flows in Europe, where traditional approaches often fail to capture the multidimensional nature of migration drivers and patterns. Understanding these dynamics is essential for designing effective and forward-looking migration policies.

The main goal of the project is to improve knowledge of migration trends, drivers, and routes, with a particular focus on evidence-based policy support for European institutions, researchers, and the wider public. The project is relevant for policymakers, academia, and organizations working with migrants, as it provides insights into both current and future migration developments.

The project applies a multidimensional research approach, combining data collection, advanced analytical methods, and expert-based insights. In Serbia, the research is conducted through expert interviews with key stakeholders working directly with migrants and refugees, complemented by broader European-level analysis.

The key outputs include analytical reports, publicly available datasets, and policy-relevant findings that support better understanding and forecasting of migration trends. These results provide immediate value by informing decision-making and strengthening the evidence base for migration policies.

In the long term, the project contributes to more informed, adaptive, and sustainable migration governance across Europe.

Keywords: migration dynamics, migration governance, evidence-based policy, migration drivers, multidimensional analysis