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Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally

Keren Dalyot () and Sagi Dalyot ()
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Keren Dalyot: Technion - Israel Institute of Technology
Sagi Dalyot: Technion - Israel Institute of Technology

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2018, vol. 139, issue 1, 185-204

Abstract: Abstract Child well-being is described as a social problem, such that in most cases social indicators defined by experts are used, without much input from local and heterogeneous communities. This article makes the case for an innovative way to monitor and explore child well-being globally, while also critiquing currently used indices. Based on Nussbaum’s Capabilities approach, we propose to formulate indices by using GIS and a comprehensive list of relevant geospatial datasets, using uniquely designed meta-layers and feature catalogues. Moreover, we argue that these geospatial data can be collected and mapped by the local communities, through participatory approaches, thus not relying on authoritative engagement and data. This will contribute to the empowerment of communities, making them relevant stakeholders with valued contribution to the process. This paper outlines preliminary work related to concepts and ideas, whereas future work is planned to develop an elaborate and comprehensive GIS model, and conduct further spatial analysis in the framework of a small scale campaign.

Keywords: Child well-being; GIS; Georeference; Participatory mapping; Crowdsourcing; Capabilities (search for similar items in EconPapers)
Date: 2018
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