Hilbert, Martin2013-11-222013-11-222013-01http://hdl.handle.net/10625/52192http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2205145Pre-published versionThe article reviews existing literature and related evidence to obtain a better understanding of the opportunities and challenges involved in making the Big Data Analysis paradigm work for development. All the well-known caveats of the Big Data debate, such as privacy concerns, interoperability challenges, and the almighty power of imperfect algorithms, are aggravated in developing countries by long-standing development challenges such as lack of technological infrastructure and economic and human resource scarcity. This has the potential to result in a new kind of digital divide: a divide in data-based knowledge to inform intelligent decision-making.Text1 digital file (33 p. : ill.)application/pdfenBIG DATADEVELOPMENTDEVELOPING COUNTRIESICT4DECONOMIC DEVELOPMENTINFORMATION AND COMMUNICATION TECHNOLOGY (ICT)OPEN DEVELOPMENTOPEN DATA FOR DEVELOPMENTOD4DDIGITAL DIVIDEGLOBAL SOUTHJournal Article