Predictability in Social Science, The statistical mechanics approach.

Seyedi, Seyedalireza (2015) Predictability in Social Science, The statistical mechanics approach., [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Matematica, 27 Ciclo. DOI 10.6092/unibo/amsdottorato/7199.
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The subject of this work concerns the study of the immigration phenomenon, with emphasis on the aspects related to the integration of an immigrant population in a hosting one. Aim of this work is to show the forecasting ability of a recent finding where the behavior of integration quantifiers was analyzed and investigated with a mathematical model of statistical physics origins (a generalization of the monomer dimer model). After providing a detailed literature review of the model, we show that not only such a model is able to identify the social mechanism that drives a particular integration process, but it also provides correct forecast. The research reported here proves that the proposed model of integration and its forecast framework are simple and effective tools to reduce uncertainties about how integration phenomena emerge and how they are likely to develop in response to increased migration levels in the future.

Tipologia del documento
Tesi di dottorato
Seyedi, Seyedalireza
Dottorato di ricerca
Scuola di dottorato
Scienze matematiche, fisiche ed astronomiche
Settore disciplinare
Settore concorsuale
Parole chiave
Statistical Mechanics, Forecast, Immigrant Integration, Assimilation, Intermarriage mixed partnership, labor force participation.
Data di discussione
9 Giugno 2015

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