Computational Research in Ethnic and Migration Studies

Computational Research in Ethnic and Migration Studies

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

Taylor & Francis Ltd

11/2024

222

Dura

9781032875712

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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 fuer Deutschland' in Berlin? Evidence from the 2019 European elections.
computational social science;migration;integration and intergroup relations;digital trace data