Datafication, development and marginalised urban communities: an applied data justice framework
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.
Keywords: Data justice; community mapping; datafication; developing countries; inequality
Document Type: Research Article
Affiliations: 1: Centre for Development Informatics, Global Development Institute, University of Manchester, Manchester, UK 2: Citizen Consumer and Civic Action Group, Chennai, India
Publication date: 07 June 2019
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