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Datafication, development and marginalised urban communities: an applied data justice framework

机译：数据传播，发展和边缘化城市社区：适用的数据司法框架

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摘要

The role of data within international development is rapidly expanding. However, the recency of this phenomenon means analysis has been lagging; particularly, analysis of broader impacts of real-world initiatives. Addressing this gap through a focus on data's increasing presence in urban development, this paper makes two contributions. First - drawing from the emerging literature on data justice' - it presents an explicit, systematic and comprehensive new framework that can be used for analysis of datafication. Second, it applies the framework to four mapping initiatives in cities of the global South. These initiatives capture and visualise new data about marginalised communities: residents living in slums and other informal settlements about whom data has traditionally been lacking. Analysing across procedural, rights, instrumental and structural dimensions, it finds these initiatives deliver real incremental gains for their target communities. But it is external actors and wealthier communities that gain more; thus, increasing relative inequality.
机译：数据在国际发展中的作用正在迅速扩大。但是，这种现象的出现意味着分析一直滞后。特别是对现实世界计划的更广泛影响的分析。通过关注数据在城市发展中的不断增长，弥补了这一差距，本文做出了两点贡献。首先-借鉴新兴的数据正义文献-它提出了一个明确的，系统的和全面的新框架，可用于分析数据化。其次，它将框架应用于全球南方城市的四个制图计划。这些举措捕获并显示了关于边缘化社区的新数据：居住在贫民窟和其他非正式住区的居民传统上缺乏数据。通过对程序，权利，手段和结构方面的分析，发现这些举措为其目标社区带来了真正的增量收益。但是，外部参与者和较富裕的社区可以获得更多收益。因此，相对不平等加剧。

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