Big Data for Development: A Review of Promises and Challenges

Martin Hilbert

Development Policy Review, 2016, vol. 34, issue 1, 135-174

Abstract: type="main" xml:id="dpr12142-abs-0001">

The article uses a conceptual framework to review empirical evidence and some 180 articles related to the opportunities and threats of Big Data Analytics for international development. The advent of Big Data delivers a cost-effective prospect for improved decision-making in critical development areas such as healthcare, economic productivity and security. At the same time, the well-known caveats of the Big Data debate, such as privacy concerns and human resource scarcity, are aggravated in developing countries by long-standing structural shortages in the areas of infrastructure, economic resources and institutions. The result is a new kind of digital divide: a divide in the use of data-based knowledge to inform intelligent decision-making. The article systematically reviews several available policy options in terms of fostering opportunities and minimising risks.

Date: 2016
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