Computational Research in Ethnic and Migration Studies (eBook, PDF)

Redaktion: Deutschmann, Emanuel; Zagheni, Emilio; Zuccotti, Carolina V.; Drouhot, Lucas G.

• Format: PDF

Produktbeschreibung

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. It was originally published as a special issue of the Journal of Ethnic and Migration Studies.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 234
• Erscheinungstermin: 8. November 2024
• Englisch
• ISBN-13: 9781040172247
• Artikelnr.: 72336820

Autorenporträt

Emanuel Deutschmann is an Assistant Professor of Sociological Theory at Europa-Universität Flensburg, an Associate at the European University Institute's Migration Policy Centre, and the author of "Mapping the Transnational World: How We Move and Communicate across Borders, and Why It Matters" (2022). Lucas G. Drouhot is an Assistant Professor of Sociology at Utrecht University (Netherlands). His core research agenda focuses on immigrant incorporation in Western liberal societies. His past work has appeared in the American Journal of Sociology, the Annual Review of Sociology, Demography, and International Migration Review among other outlets. Carolina V. Zuccotti is a at University Carlos III de Madrid (Spain). She specializes in migration, ethnicity, social inequality, and urban studies. Her work has been published in journals like Sociology, International Migration Review, Population, Space and Place, and Ethnic and Racial Studies. Emilio Zagheni is Director of the Max Planck Institute for Demographic Research. He is best known for his pioneering work on using Web and social media data for studying migration processes and for his role in developing the field of Digital and Computational Demography.

Inhaltsangabe

Introduction - Computational approaches to migration and integration
research: promises and challenges 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 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.