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Real-Time Social Data Collection in Rural Bangladesh via a ‘Microtasks for Micropayments’ Platform on Android Smartphones

机译:通过Android智能手机上的微额支付微任务平台在孟加拉国农村地区进行实时社会数据收集

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摘要

The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a ‘microtasks for micropayments’ model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations.
机译:廉价智能手机在全球农村地区的出现为改变研究人员与难以到达的人群的接触方式提供了机会。尤其是,智能手机使研究人员比标准的家庭调查更频繁地与受访者联系,从而为了解家庭和社区福祉关键指标中的重要短期变化打开了新窗口。在本文中,我们展示了孟加拉农村地区使用“微额支付微任务”模型进行的一项初步研究的早期结果,该模型使用Android智能手机收集了一系列社区和家庭生活水平数据。我们发现,更频繁的任务重复和更短的召回时间可以导致更具包容性的报告,更好地捕获季节内的变异性以及事件(如疾病)的早期信号。以移动通话时间和数据形式进行的支付以扩展访问移动互联网和社交网络的形式提供了积极的发展外部性。诸如此类的程序具有规模化的潜力,可以改变农村地区的数据收集,为市场发展,疾病传播或思想和创新传播提供近实时窗口。

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