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Data-aware environment for grass-roots development in village communities: A pilot study in Kapgari and surrounding villages

机译:村庄社区基层发展的数据感知环境:在Kapgari和周围村庄的试点研究

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We present an approach for building a participatory grass roots data-aware environment (DAE) to be used in socio-economic planning and development. As an illustration, we present the design and implementation of a DAE for a community of ten villages in a highly resource constrained drought prone area in eastern India. A DAE is focused on a small community and built using periodic family surveys, socio-economic analysis, simulations, machine learning and visualization. The local people participate directly in carrying out the surveys, analysis and interpretations periodically. DAEs targeting different communities, each customized to local conditions, can be integrated with available Information and Communications Technology (ICT) facilities. In this way an innovative micro-economic ecosystem can be built that generates feedback to regional and national stakeholders.
机译:我们提出了一种用于构建参与性基层数据感知环境(DAE)的方法,该环境可用于社会经济规划和发展。作为说明,我们介绍了DAE的设计和实现,该DAE的设计和实现是在印度东部资源匮乏且干旱多发地区的10个村庄组成的社区。 DAE专注于一个小型社区,并使用定期的家庭调查,社会经济分析,模拟,机器学习和可视化来构建。当地人直接参与定期进行调查,分析和解释。针对不同社区的DAE(可以根据当地情况进行定制)可以与可用的信息和通信技术(ICT)设施集成在一起。这样,可以建立一个创新的微观经济生态系统,从而产生对区域和国家利益相关者的反馈。

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