人道主义无知:在数字人道主义中,走向一种非知识的新范式
Adam Moe Fejerskov1, Maria-Louise Clausen1, Sarah Seddig2
1Senior Researcher, Danish Institute for International Studies, Denmark.
Disasters
|August 17, 2023
概括
数字人道主义利用数据化来管理风险和不确定性. 然而,这项研究引入了"人道主义无知",以显示数据化如何悖论地在人道主义援助中创造新的未知数.
科学领域:
- 人道主义研究 人道主义研究
- 信息科学 信息科学 信息科学
- 数字化转型 数字化转型
背景情况:
- 人道主义部门越来越依赖于数据化和数字技术.
- 数据驱动的方法旨在改善信息管理,风险评估和决策.
- 现有的"风险"和"不确定性"的概念不足以解决数字人道主义中缺乏知识的问题.
研究的目的:
- 引入和定义"人道主义无知"的概念.
- 挑战数据化导致充分知情的人道主义决策的假设.
- 探索数据化在人道主义环境中的悖论.
主要方法:
- 在人道主义行动中对数据化进行概念分析.
- 探索非知识及其影响.
- 在数字人道主义中批判风险和不确定性框架.
主要成果:
- 数据化虽然旨在减少不确定性,但却产生了新的无知形式.
- "人道主义无知"的概念强调了纯粹基于数据的方法的局限性.
- 越来越依赖数据并不等同于获得完整的知识或控制.
结论:
- 人道主义组织必须承认并解决"人道主义无知".
- 数据化对降低风险的感知好处可能会掩盖未知的更深层次.
- 对于有效的人道主义行动来说,对数据化的批判性观点是必要的.
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