Publications

In this paper we illustrate graphically the discrepancies between sending and receiving migration flow statistics provided to Eurostat by European countries. We find a reduction of the discrepancies between receiving and sending migration flow data after the implementation of regulations to improve the availability and comparability of migration data.

This article analyzes scenario planning and migration flows through a survey conducted among migration scholars. Scenario planning has been gaining popularity during the last decade as a tool for exploring how international migration flows might be affected by changing future circumstances. Using this technique, scholars have developed narratives that describe how flows might change depending […]

This article presents a simulation model developed by the Postdam Institute for Climate Impact Research that could help to project future migration patterns and assess the impacts of different socio-economic futures.

Over the past decades, international migration has become by far the most important force behind European population change. This working paper explores new ways to formulate migration scenarios.

This article analyzes the impact of (un)happiness on the international migration decision.

This study contributes to research on new immigrant destinations in CEE by investigating the neighbourhood concentration of immigrants in Poland. The focus is on Kraków – the second largest city – for which we have built a unique register-based dataset containing geocoded individual level data. To our knowledge, it is the first high-quality dataset of […]

This work provides an example of combining Google Trends and official migration data to produce short-term forecasts, illustrated with flows from Romania to the UK.

This paper describes a spatial disaggregation method based on self-training regression models. We report on experiments for two case studies, using high-resolution data  for the municipality of Amsterdam and the region of Greater Copenhagen. Accurate and consistent estimations on the present and future population distribution, at fine spatial resolution, are fundamental to support a variety […]

This conference paper presents how spatially explicit projections generated by using the machine learning method could be utilised in urban planning.