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Environmental change and human mobility: Opportunities and challenges of big data
International Migration ( IF 2.022 ) Pub Date : 2022-04-10 , DOI: 10.1111/imig.13002
Susan F. Martin 1 , Lisa Singh 2
Affiliation  

This paper explores the use of big data in understanding population movements in the context of environmental change, with particular attention to publicly available information from social media and newspapers. After discussing causal factors, the paper discusses the benefits and challenges of using big data, and mathematical models that may help capture the complexity of human mobility in the context of environmental change. We conclude that big data can be an important part of a toolkit in discerning drivers of migration and displacement. It is no panacea, however; the paper discusses potential problems in its use, particularly if big data are analysed to prevent people from moving out of harm's way. Therefore, partnerships between computer scientists and subject matter experts and practitioners are essential to ensuring that what is gathered from big data is usable, credible, and protects the privacy and rights of those who may be displaced.

中文翻译:

环境变化与人口流动:大数据的机遇与挑战

本文探讨了如何使用大数据来了解环境变化背景下的人口流动,特别关注社交媒体和报纸上的公开信息。在讨论因果因素后,本文讨论了使用大数据和数学模型的好处和挑战,这些模型可能有助于捕捉环境变化背景下人类流动的复杂性。我们的结论是,大数据可以成为识别移民和流离失所驱动因素的工具包的重要组成部分。然而,它并不是灵丹妙药。该论文讨论了其使用中的潜在问题,特别是如果分析大数据以防止人们远离伤害。所以,
更新日期:2022-04-10
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