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Title:
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ISLAND WORLD: ONLINE GAMING AS SECONDARY DATA ELICITATION FOR PREDICTIVE MIGRATION |
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Author(s):
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Jennifer Stoll, Ian Malave, Matthew Campbell, Christy L. Crosiar |
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ISBN:
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978-989-8533-22-7 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Games for research, surveys, migration, predictive models, virtual communities |
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Type:
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Full Paper |
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First Page:
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141 |
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Last Page:
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148 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The continued depletion of resources over a series of years can lead to vulnerabilities that drive disruptive migration dynamics due to social, economic, and political stressors. Between the years of 2010-2012 alone, there were about 700 natural disasters affecting more than 450 million people worldwide. Such numbers are significant enough to induce migration, which can rapidly deplete resources, and overwhelm services, systems, and societies. To prepare for and mitigate such disruption, predictive models for migration can help to inform awareness of potential migration-induced conflicts. Ideally such models would utilize supplemental data for validation and verification of factors as reliable predictors of stressor-induced migration. To help fill this data gap, we introduce a game-based tool called Island World that can simulate stressors that drive migration. As an online turn-based simulation game, Island World provides researchers with degrees of control and flexibility to conduct surveys and simulate a number of disruptive migration scenarios that can lead to generating supplemental data for predictive migration model refinement. |
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