Every day people across the world in both developed and developing economies are creating an ever-growing ocean of digital data. This “big data” represents a new resource for international organizations with the potential to revolutionize the way policies, programs, and projects are generated. The International Labour Organization (ILO) is no exception to this and has begun to discuss and engage with the potential uses of big data to contribute to its agenda.
Focus
The ILO, founded in 1919 in the wake of the First World War, became the first specialized agency of the United Nations. It focuses on labor issues including child labor, collective bargaining, corporate social responsibility, disability, domestic workers, forced labor, gender equality, informal economy, international labor migration, international labor standards, labor inspection, microfinance, minimum wages, rural development, and youth employment. By 2013 the ILO had 185 members (of the 193 member states of the United...
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Further Readings
International Labour Organization. (2014a). Key indicators of the labour market. International Labour Organization. http://www.ilo.org/empelm/what/WCMS_114240/lang--en/index.htm. Accessed 10 Sep 2014.
International Labour Organization. (2014b). ILO databases. International Labour Organization. http://www.ilo.org/public/english/support/lib/resource/ilodatabases.htm. Accessed 1 Oct 2014.
International Labour Organization. (2014c). ILOSTAT database. International Labour Organization. http://www.ilo.org/ilostat/faces/home/statisticaldata?_afrLoop=342428603909745. Accessed 10 Sep 2014.
United Nations. (2013). Big data and modernization of statistical systems. Report of the Secretary-General. United Nations. United Nations Economic and Social Council. Available at: http://unstats.un.org/unsd/statcom/doc14/2014-11-BigData-E.pdf. Accessed 1 Dec 2014.
United Nations. (2014). UN global pulse. United Nations. Available at: http://www.unglobalpulse.org/. Accessed 10 Sep 2014.
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Ferreira, J. (2017). International Labor Organization. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_118-1
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DOI: https://doi.org/10.1007/978-3-319-32001-4_118-1
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