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Computational Methods for the Social Sciences: Applications to the Study of Ethnic Minorities
Schwemmer, Carsten (2019): Computational Methods for the Social Sciences: Applications to the Study of Ethnic Minorities, Bamberg: Otto-Friedrich-Universität, doi: 10.20378/irb-46463.
Author:
Publisher Information:
Year of publication:
2019
Pages:
Supervisor:
Language:
English
Remark:
Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2019
DOI:
Abstract:
Interactions between mainstream societies and minorities lead to the emergence of many societal problems, such as political mobilization with the aim to maintain power of majority members and exclude members of immigrant origin. The overarching question for this cumulative dissertation is: how can computational methods at the intersection of computer science and statistics be applied to provide new insights for the study of ethnic minorities? The articles for this dissertation include findings from research across three related and interconnected domains: ethnic discrimination in the sharing economy, political representation of ethnic minorities and collective action driven by xenophobia. In the preface I discuss both the substantial contributions of these articles as well as technical details about the application of computational methods. I close with some remarks about the present and the future of Computational Social Science
GND Keywords: ; ; ; ; ; ;
Deutschland
Nationale Minderheit
Diskriminierung
Repräsentation <Politik>
Sozialwissenschaften
Forschungsmethode
Computerunterstütztes Verfahren
DDC Classification:
RVK Classification:
Type:
Doctoralthesis
Activation date:
December 13, 2019
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https://fis.uni-bamberg.de/handle/uniba/46463