![MIG](/sites/default/files/styles/thumbnail/public/2022-05/dreamstime_s_58245824.jpg?itok=xE6r2_Jo)
The MIG research group focuses on applying advanced data collection and estimation methods to quantify and better understand the trends, patterns, drivers, and consequences of different types of migration considering its interactions with the social, economic, and environmental dimensions of sustainable development.
Migration is a key demographic component underlying population change. As a multifaceted process, it is influenced by various factors such as economic opportunities, social and political drivers, environmental changes, and conflicts. Due to its high volatility and complexity, migration is difficult to assess and forecast, thus requiring a combination of data sources and methods. The MIG research group employs innovative approaches to provide comprehensive estimates of internal and international migration and its underlying factors at global, national, and sub-national levels. A particular focus of the research group is exploring how climatic changes and environmental factors directly and indirectly influence migration, and how these effects differ across geographical locations and population subgroups. In addition, the research group offers valuable insights into the interconnections between sustainability, human development, and well-being, highlighting their relevance for migration processes worldwide.
Models, tools, datasets
Projects
Staff
News
![University](/sites/default/files/styles/thumbnail/public/2024-02/Master%20Global%20Demography_%28c%29Pixabay%20Brian%20Merrill.jpg?itok=ASTYmu7Q)
22 February 2024
Master's Programme "Global Demography"
![Population](/sites/default/files/styles/thumbnail/public/2024-02/dreamstime_s_48215947.jpg?itok=ksszSvTr)
14 February 2024
Population and human capital projections to 2100
![TEDx](/sites/default/files/styles/thumbnail/public/2023-11/dreamstime_s_77819606.jpg?itok=DvG47Xj2)
28 November 2023
TEDx talk on "How climate change affects population dynamics"
Events
Focus
![Europe population](/sites/default/files/styles/thumbnail/public/2024-06/dreamstime_l_79535764.jpg?itok=ZNry9rC3)
24 June 2024
Predicting EU migration trends: merging traditional and social media data
IIASA researchers Dilek Yildiz and Guy Abel highlight the benefits of a new statistical model that combines traditional data sources like the census with real-time Facebook data to estimate EU migrant populations, offering valuable insights for policymakers.
08 November 2023
Explaining the impacts of climate change on migration
![Options](/sites/default/files/styles/thumbnail/public/2023-11/dreamstime_xxl_260305002.jpg?itok=k8z8s4cu)
Publications
Vashold, L. & Crespo Cuaresma, J. (2024). A unified modelling framework for projecting sectoral greenhouse gas emissions. Communications Earth & Environment 5 (1) e139. 10.1038/s43247-024-01288-9. Carr, R., Kotz, M., Pichler, P.-P., Weisz, H., Belmin, C., & Wenz, L. (2024). Climate change to exacerbate the burden of water collection on women’s welfare globally. Nature Climate Change 10.1038/s41558-024-02037-8. (In Press) Marois, G. , Crespo Cuaresma, J., Zellmann, J., & Reiter, C. (2024). A dataset of human capital-weighted population estimates for 185 countries from 1970 to 2100. Scientific Data 11 (1) e612. 10.1038/s41597-024-03466-y. Yildiz, D. , Wiśniowski, A., Abel, G. , Weber, I., Zagheni, E., Gendronneau, C., & Hoorens, S. (2024). Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union. International Migration Review 10.1177/01979183241249969. Crespo Cuaresma, J., Fortin, I., Hlouskova, J., & Obersteiner, M. (2024). Regime‐dependent commodity price dynamics: A predictive analysis. Journal of Forecasting 10.1002/for.3152.