Computational research in ethnic and migration studies
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London : Routledge, 2025, Research in ethnic and migration studies
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DEUTSCHMANN, Emanuel, DROUHOT, Lucas G., ZUCCOTTI, Carolina Viviana, ZAGHENI, Emilio (editor/s), Computational research in ethnic and migration studies, London : Routledge, 2025, Research in ethnic and migration studies - https://hdl.handle.net/1814/93979
Abstract
This book showcases the potential of computational approaches for research questions at the heart of migration and integration research via a set of original, cutting-edge empirical studies by a diverse, international team of authors. Why do people emigrate? Do weather conditions and climate change affect decisions to migrate? How do migration networks evolve on a global scale? Can we predict refugee movements? How do host communities respond to the influx of refugees? Do right-wing populist parties get stronger where lots of refugees are located? Do terror attacks lead to more hostility towards immigrants? What mechanisms explain neighborhood ethnic segregation? The collection of studies in this book harnesses the power of an emerging interdisciplinary research field known as computational social science to shed new light on such classic questions of migration and integration research. The cutting-edge empirical studies use a wide range of computational approaches, from agent-based modeling and network analysis to machine learning, natural language processing, and advanced spatial methods and cover detailed spatial, textual, and network data from both online and offline sources. The book thus demonstrates the potential of computational approaches for migration and integration research, while also discussing the challenges that arise in this emerging field.
Table of Contents
-- Introduction – Computational approaches to migration and integration research: promises and challenges
-- Part I: Migration Dynamics
-- 1. Predictive modeling of movements of refugees and internally displaced people: towards a computational framework
-- 2. Migration networks and the intensity of global migration flows, 1990-2015
-- 3. How to model the weather-migration link: a machine-learning approach to variable selection in the Mexico-U.S. context
-- Part II: Integration and Intergroup Relations
-- 4. Analyzing community reaction to refugees through text analysis of social media data
-- 5. Catalyst of hate? Ethnic insulting on YouTube in the aftermath of terror attacks in France, Germany and the United Kingdom 2014-2017
-- 6. Exploring the dynamics of neighborhood ethnic segregation with agent-based modelling: an empirical application to Bradford, UK
-- 7. Did exposure to asylum seeking migration affect the electoral outcome of the ‘Alternative für Deutschland’ in Berlin? Evidence from the 2019 European elections.
Additional Information
Published online: 8 November 2025