Is bigger better? The emergence of big data as a tool for international development policy
- 1.7k Downloads
The use of digital communication technologies, and of mobile phones in particular, has seen an exponential rise in low- and middle-income countries over the last decade. These data, emitted as a byproduct of technologies such as mobile phone location information and calling metadata, have the potential to fill some of the problematic gaps in data resources available to country policymakers and international development organisations. Using three examples of current big data initiatives in the international development field, we examine the implications of these new types of data for development policy and planning: their advantages and drawbacks, emerging practices relating to their use, and how they potentially influence ideas and policies of development. We also assess the politics of these new types of digital data, which are often collected and processed by corporations or by researchers in industrialised countries. Our analysis indicates that these new data sources already represent an important complement to country-level statistics, but that there are currently important challenges which will need to addressed if the promises of big data in development are to be fulfilled.
KeywordsBig data Development Policy
- BBC News. (2011). Mobile phones help to target disaster aid, says study. http://www.bbc.co.uk/news/technology-14761144.
- Bengtsson, L., Lu, X., Thorson, A., Garfield, R., & von Schreeb, J. (2011). Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: A post-earthquake geospatial study in Haiti. PLoS Medicine, 8(8), e1001083. doi:10.1371/journal.pmed.1001083.CrossRefGoogle Scholar
- Berdou, E. (2012). Participatory technologies and participatory methodologies: Ways forward for innovative thinking and practice. IKM Working Paper No. 17.Google Scholar
- Berlingerio, M., Calabrese, F., Di Lorenzo, G., Nair, R., Pinelli, F., & Sbodio, M. L. (2013). AllAboard: A system for exploring urban mobility and optimizing public transport using cellphone data. In Machine learning and knowledge discovery in databases (pp. 663–666). Berlin: Springer.Google Scholar
- Blessing, M. (2005). Het verzet tegen de Volkstelling van 1971. Historische Nieuwsblad nr. 8/2005. http://www.historischnieuwsblad.nl/nl/artikel/6697/het-verzet-tegen-de-volkstelling-van-1971.html.
- Borgman, C. (2014). Big data, little data and beyond. Cambridge: MIT Press.Google Scholar
- Cavallo, A. (2013). Scraped data and sticky prices. MIT Sloan Working Paper, http://www.mit.edu/~afc/. Accessed 4.10.2013.
- Cavallo, A., Cavallo, E., & Rigobon, R. (2013). Prices and supply disruptions during natural disasters. Working Paper 19474, NBER.Google Scholar
- Chambers, R. (1997). Whose reality counts? Putting the first last. Intermediate Technology Publications Ltd (ITP).Google Scholar
- Collier, P. (2007). The Bottom Billion: Why the Poorest Countries are Failing and What Can Be Done About It. Oxford: Oxford University Press.Google Scholar
- Dandeker, Christopher. (1990). Surveillance, power and modernity. Cambridge: Polity Press.Google Scholar
- de Montjoye, Y. A., Hidalgo, C. A., Verleysen, M., & Blondel, V. D. (2013). Unique in the crowd: The privacy bounds of human mobility. Scientific reports, 3.Google Scholar
- Donner, Jonathan. (2010). Framing M4D: The utility of continuity and the dual heritage of “mobiles and development”. Electronic Journal on Information Systems in Developing Countries, 44(3), 1–16.Google Scholar
- Eagle, N., de Montjoye, Y. A., & Bettencourt, L. M. (2009). Community computing: Comparisons between rural and urban societies using mobile phone data. In International conference on computational science and engineering, 2009 (CSE’09) (vol. 4, pp. 144–150), IEEE.Google Scholar
- Easterly, W. (2014). The Tyranny of Experts: Economists, Dictators, and the Forgotten Rights of the Poor. New York: Basic Books.Google Scholar
- Financial Times. (2013). Argentina: Questioning official inflation can land you in jail. Accessed September 13 http://blogs.ft.com/beyond-brics/2013/09/13/argentina-inflation-diverging-from-official-numbers-can-land-you-in-jail/#axzz2gYghm6jJ.
- Frias-Martinez, V., Virseda, J., Rubio, A., & Frias-Martinez, E. (2010). Towards large scale technology impact analyses: Automatic residential localization from mobile phone-call data. In Proceedings of the 4th ACM/IEEE international conference on information and communication technologies and development (p. 11), ACM.Google Scholar
- Godard, X. (2003). Urban transport and mobility in African cities. Crisis and inventive disorder. Paper prepared for TRB annual meeting January 2003. http://onlinepubs.trb.org/onlinepubs/archive/am/03-2786.pdf.
- González-Bailón, S., Wang, N., Rivero, A., Borge-Holthoefer, J., & Moreno, Y. (2012). Assessing the bias in communication networks sampled from twitter. Available at SSRN 2185134.Google Scholar
- Greenleaf, G. (2012). Global data privacy laws: 89 countries, and accelerating. Queen Mary University of London, School of Law Legal Studies Research Paper No. 98/2012.Google Scholar
- GSMA. (2013). Sub-Saharan Africa Mobile Economy 2013. http://gsma.com/newsroom/wp-content/uploads/2013/12/GSMA_ME_Sub_Saharan_Africa_ExecSummary_2013.pdf.
- Heeks, R., & Kenny, C. (2002). The economics of ICTs and global inequality: Convergence or divergence for developing countries? Development informatics. Working Paper No. 10a, Institute for Development Policy and Management, University of Manchester.Google Scholar
- Hildebrandt, M. (2013) Slaves to big data. Or are we? Keynote, 25th June 2013 9th annual conference on internet, Law & Politics (IDP 2013, Barcelona).Google Scholar
- ITU. (2013a). The world in 2013. International telecommunications union. http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2013.pdf.
- ITU. (2013b). International Internet connectivity in Latin America and the Caribbean. Geneva: International Telecommunications Union.Google Scholar
- Jerven, M. (2013). Poor numbers: How we are misled by African development statistics and what to do about it. Ithaca: Cornell University Press.Google Scholar
- Kirkpatrick, R. (2011). Data philanthropy: Public and private sector data sharing for global resilience. http://www.unglobalpulse.org/blog/data-philanthropy-public-private-sector-data-sharing-global-resilience.
- Klein, N. (2008). The shock doctrine: The rise of disaster capitalism. New York: Metropolitan.Google Scholar
- Ling, R., & Donner, J. (2009). Mobile communication. Cambridge: Polity Press.Google Scholar
- Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics. 22, 3–42.Google Scholar
- Lyon, D. (2007). Surveillance studies: An overview. Cambridge: Polity Press.Google Scholar
- Mann, L. (2013). Blogpost on OII’s Policy and Internet Blog: Big Data and Informal Economies in Africa. Accessed 2.10.2013. http://blogs.oii.ox.ac.uk/policy/seeing-like-a-machine-big-data-and-the-challenges-of-measuring-africas-informal-economies/.
- Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., et al. (2011). Big data: The next frontier for innovation, competition and productivity. Washington, DC: McKinsey Global Institute.Google Scholar
- Musa, P. F., Meso, P., & Mbarika, V. W. (2005). Toward sustainable adoption of technologies for human development in Sub-Saharan Africa: precursors, diagnostics, and prescriptions. Communications of the Association for Information Systems, 15.Google Scholar
- NetMob. (2013). Mobile phone data for development: Analysis of mobile phone datasets for the development of Ivory Coast. NetMob conference, May 1–3 2013, MIT, Cambridge, USA.Google Scholar
- New York Times. (2000). Who lives here? Who’s asking? In a Black Community, Official Mistrust Hinders Census. Mary 16, 2000. http://www.nytimes.com/2000/05/16/nyregion/who-lives-here-who-s-asking-black-community-official-mistrust-hinders-census.html?pagewanted=all&src=pm.
- New York Times. (2011). Haiti: Cellphone tracking helps groups set up more effective aid distribution, study says. http://www.nytimes.com/2011/09/06/health/06global.html?_r=2&scp=1&sq=haiti%20bengtsson&st=cse&pagewanted=all.
- Orange. (2012). D4D project. http://www.d4d.orange.com/learn-more.
- Reporters Without Borders. (2013). 2013 World Press Freedom Index. http://fr.rsf.org/IMG/pdf/classement_2013_gb-bd.pdf.
- Schroeder, R. (2014). Big Data: Towards a more Scientific Social Science and Humanities? In M. Graham, & W. H. Dutton (Eds.), Society and the Internet: How networks of information are changing our lives (pp. 164–176). Oxford: OUP.Google Scholar
- Scott, J. C. (1998). Seeing like a state: How certain schemes to improve the human condition have failed. New Haven: Yale University Press.Google Scholar
- Schifferes, S., Newman, N., Thurman, N., Corney, D. P. A., Goker, A., & Martin C. (2013) Identifying and verifying news through social media: Developing a user-centred tool for professional journalists. Paper presented at The Future of Journalism Conference, 12–13 September 2013, Cardiff, UK.Google Scholar
- Sen, A. (1999). Development as Freedom. Oxford: Oxford University Press.Google Scholar
- Taylor, L. (2014). No place to hide? The ethics and analytics of tracking mobility using African mobile phone data. Unpublished paper, University of Amsterdam. http://www.academia.edu/7502204/No_place_to_hide_The_ethics_and_analytics_of_tracking_mobility_using_mobile_phone_data.
- Bengtsson, Linus. Director, Flowminder. Interviewed 16.5.2013Google Scholar
- Blondel, Vincent. Professor of applied mathematics at the Université Catholique de Louvain and organiser of the D4D challenge. Interviewed 29.3.13Google Scholar
- Cavallo, Alberto. Cecil and Ida Green Career Development Assistant Professor of Applied Economics, MIT. Interviewed 15.11.2012Google Scholar
- de Cordes, Nicolas. Vice President of Marketing Vision, Orange-France Telecom Group. Interviewed 16.4.2013Google Scholar
- Kirkpatrick, Robert. Director, UN Global Pulse. Interviewed 14.5.2013Google Scholar