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Abstract:
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Historically, global poverty has been “data poor”; research regarding difficult questions related to socio-economics, health and other issues affecting the world’s poor has relied heavily on traditional survey-based methods of data collection. Recently, computer and information sciences have enabled new sources of data– from satellites, mobile phones, social media and others that can offer real-time, highly localized and/or low-cost views that can illuminate aspects of human life on several relevant topics. However, the observational and unstructured nature of such data result in statistical and computational challenges. Here we will discuss several efforts to generate robust measures from novel data sources in global health challenges.
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