Linking migration intentions with flows: Evidence and potential use

J Tjaden, D Auer, F Laczko - International Migration, 2019 - Wiley Online Library
In the absence of reliable, internationally available migration flow data necessary for
statistical forecasting, policymakers increasingly turn to survey data on emigration intentions …

How well can we predict climate migration? A review of forecasting models

K Schewel, S Dickerson, B Madson… - Frontiers in …, 2024 - frontiersin.org
Climate change will have significant impacts on all aspects of human society, including
population movements. In some cases, populations will be displaced by natural disasters …

Towards a new politics of migration?

B Anderson - Celebrating 40 Years of Ethnic and Racial Studies, 2019 - taylorfrancis.com
This paper reconsiders Stephen Castle's classic paper Why Migration Policies Fail.
Beginning with the so-called migration crisis of 2015 it considers the role of numbers is …

A generalized simulation development approach for predicting refugee destinations

D Suleimenova, D Bell, D Groen - Scientific reports, 2017 - nature.com
In recent years, global forced displacement has reached record levels, with 22.5 million
refugees worldwide. Forecasting refugee movements is important, as accurate predictions …

[PDF][PDF] How to predict future migration: Different methods explained and compared

HAG de Valk, E Acostamadiedo, Q Guan… - … to Migration Studies, 2022 - library.oapen.org
How many people will likely move in the decades to come? And where will they come from
and move to? Policymakers worldwide have a keen interest in these questions. While long …

How policy decisions affect refugee journeys in South Sudan: a study using automated ensemble simulations

D Suleimenova, D Groen - 2020 - bura.brunel.ac.uk
Forced displacement has a huge impact on society today, as more than 68 million people
are forcibly displaced worldwide. Existing methods for forecasting the arrival of migrants …

Forecasting bilateral asylum seeker flows with high-dimensional data and machine learning techniques

K Boss, A Groeger, T Heidland… - Journal of Economic …, 2024 - academic.oup.com
We develop monthly asylum seeker flow forecasting models for 157 origin countries to the
EU27, using machine learning and high-dimensional data, including digital trace data from …

Assessing Human Mobility and Its Climatic and Socioeconomic Factors for Sustainable Development in Sub-Saharan Africa

Q Li, C Samimi - Sustainability, 2023 - mdpi.com
Promoting human mobility and reducing inequality among countries are the Sustainable
Development Goals'(SDGs) targets. However, measuring human mobility, assessing its …

Evidence-based monitoring of international migration flows in Europe

F Willekens - Journal of Official Statistics, 2019 - journals.sagepub.com
In Europe, the monitoring and management of migration flows are high on the political
agenda. Evidence-based monitoring calls for adequate data, which do not exist. The …

Towards causal forecasting of international migration

F Willekens - Vienna Yearbook of Population Research, 2018 - JSTOR
International migration is difficult to predict because of uncertainties. The identification of
sources of uncertainty and the measurement and modelling of uncertainties are necessary …