Environmental change and human mobility: Opportunities and challenges of big data

被引:2
|
作者
Martin, Susan F. [1 ]
Singh, Lisa [2 ,3 ]
机构
[1] Georgetown Univ, Int Migrat, Washington, DC 20057 USA
[2] Georgetown Univ, Dept Comp Sci, Washington, DC USA
[3] Georgetown Univ, Mass Data Inst MDI, Washington, DC USA
基金
美国国家科学基金会;
关键词
CLIMATE-CHANGE; MIGRATION; ADAPTATION; DISPLACEMENT; BANGLADESH; SATELLITE; PATTERNS;
D O I
10.1111/imig.13002
中图分类号
C921 [人口统计学];
学科分类号
摘要
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.
引用
收藏
页码:29 / 46
页数:18
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