Simulating acculturation dynamics between migrants and locals in relation to network formation
Rocco Paolillo, Wander Jager

TL;DR
This paper introduces MigrAgent, an agent-based model simulating acculturation dynamics between migrants and locals, revealing how intake speed and tolerance influence societal polarization and integration outcomes.
Contribution
The study presents a novel agent-based simulation model that explores the impact of migration intake and tolerance on acculturation and societal polarization.
Findings
Faster migrant intake increases polarization between locals and migrants.
Slower intake allows for diverse acculturation outcomes like assimilation and separation.
Model results qualitatively align with survey data from SCIP study.
Abstract
International migration implies the coexistence of different ethnic and cultural groups in the receiving country. The refugee crisis of 2015 has resulted in critical levels of opinion polarization on the question of whether to welcome migrants, causing clashes in receiving countries. This scenario emphasizes the need to better understand the dynamics of mutual adaptation between locals and migrants, and the conditions that favor successful integration. Agent-based simulations can help achieve this goal. In this work, we introduce our model MigrAgent and our preliminary results. The model synthesizes the dynamics of migration intake and post-migration adaptation. It explores the different acculturation outcomes that can emerge from the mutual adaptation of a migrant population and a local population depending on their degree of tolerance. With parameter sweeping, we detect how different…
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