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GeoJournal

, Volume 80, Issue 4, pp 477–490 | Cite as

Rethinking big data in digital humanitarianism: practices, epistemologies, and social relations

  • Ryan Burns
Article

Abstract

Spatial technologies and the organizations around them, such as the Standby Task Force and Ushahidi, are increasingly changing the ways crises and emergencies are addressed. Within digital humanitarianism, Big Data has featured strongly in recent efforts to improve digital humanitarian work. This shift toward social media and other Big Data sources has entailed unexamined assumptions about technological progress, social change, and the kinds of knowledge captured by data. These assumptions stand in tension with critical geographic scholarship, and in particular critical GIS research. In this paper I borrow from critical research on technologies to engage three important new facets of Big Data emerging from an interrogation of digital humanitarianism. I argue first that within digital humanitarianism, Big Data should be understood as a new set of practices, in addition to its usual conception as data and analytics technologies. Second, I argue that Big Data constitutes a distinct epistemology that obscures many forms of knowledge in crises and emergencies and produces a limited understanding of how a crisis is unfolding. Third, I argue that Big Data is constitutive of a social relation in which both the formal humanitarian sector and “victims” of crises are in need of the services and labor that can be provided by digital humanitarians.

Keywords

Big Data Digital humanitarianism Geoweb Critical GIS Social media Critical technology studies 

References

  1. Adams, V. (2013). Markets of sorrow, Labors of faith: New Orleans in the Wake of Katrina. Durham, NC: Duke University Press.CrossRefGoogle Scholar
  2. Aitken, S. C., & Michel, S. M. (1995). Who contrives the real in GIS? Geographic information, planning and critical theory. Cartography and Geographic Information Science, 22(1), 17–29.CrossRefGoogle Scholar
  3. Anderson, C. (2007). The end of theory: The data deluge makes the scientific method obsolete. Wired. http://www.wired.com/science/discoveries/magazine/16-07/pb_theory. Accessed 17 Dec 2012.
  4. Barnes, T. (2013). Big Data, little history. Dialogues in Human Geography, 3(3), 297–302.CrossRefGoogle Scholar
  5. Barnes, T., & Wilson, M. (2014). Big Data, social physics and spatial analysis: The early years. Big Data & society, 1(1), 1–14.Google Scholar
  6. Boyd, D., & Crawford, K. (2012). Critical questions for Big Data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication & society, 15(5), 662–679.CrossRefGoogle Scholar
  7. Burawoy, M. (1998). The extended case method. Sociological theory, 16(1), 4–33.CrossRefGoogle Scholar
  8. Burns, R. (2014). Moments of closure in the knowledge politics of digital humanitarianism. Geoforum, 53, 51–62.CrossRefGoogle Scholar
  9. Chapman, K. (2010). OpenStreetMap in the first Month after the Haiti Quake | MapLoser. MapLoser: On a quest to find out where. http://www.maploser.com/2010/09/06/openstreetmap-in-the-first-month-after-the-haiti-quake/. Accessed 02 Nov 2011.
  10. Corbett, J., & Rambaldi, G. (2009). “Representing our reality”: Geographic information technologies, local knowledge and change. In S. Elwood & M. Cope (Eds.), Qualitative GIS: A mixed-methods approach (pp. 70–90). Thousand Oaks, CA: Sage Publications.Google Scholar
  11. Crampton, J., Graham, M., Poorthuis, A., Shelton, T., Stephens, M., Wilson, M., et al. (2013). Beyond the geotag: Situating “Big Data” and leveraging the potential of the geoweb. Cartography and geographic information science, 40(2), 130–139.CrossRefGoogle Scholar
  12. Crawford, K. (2013). The Hidden Biases in Big Data. Harvard Business Review Blog Network. http://blogs.hbr.org/cs/2013/04/the_hidden_biases_in_big_data.html. Accessed 18 Jul 2014.
  13. Crawford, K., & Finn, M. (this issue). The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters. GeoJournal.Google Scholar
  14. CrisisMappersNet. (2012). ICCM 2012: Phil Harris, Geofeedia: Beyond keywords & hashtags. http://youtu.be/HcBdC7cyeAY. Accessed 1 Nov 2013.
  15. Crowley, J., & Chan, J. (2011). Disaster relief 2.0: the future of information sharing in humanitarian emergencies. UN Foundation & Vodafone Foundation Technology Partnership. http://www.globalproblems-globalsolutions-files.org/gpgs_files/pdf/2011/DisasterResponse.pdf.
  16. Crutcher, M., & Zook, M. (2009). Placemarks and waterlines: Racialized cyberscapes in post-Katrina Google Earth. Geoforum, 40(4), 523–534.CrossRefGoogle Scholar
  17. Dalton, C., & Thatcher, J. (2014). What does a critical data studies look like, and why do we care? Seven points for a critical approach to “Big Data.” Society and Space Open Site. http://societyandspace.com/material/commentaries/craig-dalton-and-jim-thatcher-what-does-a-critical-data-studies-look-like-and-why-do-we-care-seven-points-for-a-critical-approach-to-big-data/. Accessed 5 Aug 2014.
  18. Dittmer, J. (2010). Textual and discourse analysis. In D. DeLyser, S. Herbert, S. Aitken, M. Crang, & L. McDowell (Eds.), The SAGE handbook of qualitative geography (pp. 274–286). Thousand Oaks, CA: Sage Publications.CrossRefGoogle Scholar
  19. Doel, M. (2010). Analyzing cultural texts. In N. Clifford, S. French, & G. Valentine (Eds.), Key methods in geography (pp. 485–496). Los Angeles: Sage Publications.Google Scholar
  20. Elwood, S. (2006). Beyond cooptation or resistance: Urban spatial politics, community organizations, and GIS-based spatial narratives. Annals of the association of American geographers, 96(2), 323–341.CrossRefGoogle Scholar
  21. Elwood, S. (2009). Multiple representations, significations, and epistemologies in community-based GIS. In M. Cope & S. Elwood (Eds.), Qualitative GIS: A mixed-methods approach (pp. 57–74). Thousand Oaks, CA: Sage Publications.Google Scholar
  22. Elwood, S. (2010). Geographic information science: Emerging research on the societal implications of the geospatial web. Progress in human geography, 34(3), 349–357.CrossRefGoogle Scholar
  23. Elwood, S., Goodchild, M., & Sui, D. (2011). Researching volunteered geographic information: Spatial data, geographic research, and new social practice. Annals of the association of American geographers, 102(3), 571–590.CrossRefGoogle Scholar
  24. Elwood, S., & Leszczynski, A. (2013). New spatial media, new knowledge politics. Transactions of the Institute of British Geographers, 38(4), 544–559.Google Scholar
  25. Feenberg, A. (1999). Questioning technology. NY: Routledge.Google Scholar
  26. Fernandez-Maldonado, A. M. (2004). Public internet cabins and the digital divide in developing world megacities: A case study of lima. In S. Graham (Ed.), The Cybercities Reader (pp. 314–319). NY: Routledge.Google Scholar
  27. Fischer, C. S. (1994). America calling: A social history of the telephone to 1940. Berkeley, CA: University of California Press.Google Scholar
  28. Fuchs, C., & Sevignani, S. (2013). What is digital labour? What is digital work? What’s their difference? And why do these questions matter for understanding social media? TripleC: Communication, capitalism & critique. Open access journal for a global sustainable information society, 11(2), 237–293.Google Scholar
  29. Gao, H., Barbier, G., & Goolsby, R. (2010). Harnessing the crowdsourcing power of social media for disaster relief. Intelligent systems, IEEE, 25(4), 10–14.Google Scholar
  30. Gilbert, M. (2010). Theorizing digital and urban inequalities. Information, communication & society, 13(7), 1000–1018.CrossRefGoogle Scholar
  31. Graham, M. (2008). Warped geographies of development: The internet and theories of economic development. Geography compass, 2(3), 771–789.CrossRefGoogle Scholar
  32. Graham, M., Hale, S., & Stephens, M. (2011). Geographies of the world’s knowledge. London: Convoco.Google Scholar
  33. Haklay, M. (2013). Neogeography and the delusion of democratisation. Environment and Planning A, 45(1), 55–69.CrossRefGoogle Scholar
  34. Hands, J. (2011). @ Is for activism. New York: Pluto Press.Google Scholar
  35. Harvard Program on Humanitarian Policy and Conflict Research. (2012). Live Web Seminar 49: Monitoring Humanitarian Crises in the Digital Age: Crisis Mapping, Crowdsourcing, and Satellite Imagery. Harvard Program on Humanitarian University Policy and Conflict Research. http://hpcrresearch.org/events/live-web-seminar-49-monitoring-humanitarian-crises-digital-age-crisis-mapping-crowdsourcing-4. Accessed 20 Oct 2013.
  36. Hesse, M. (2010). Crisis mapping brings online tool to Haitian disaster relief effort. The Washington Post. http://www.washingtonpost.com/wp-dyn/content/article/2010/01/15/AR2010011502650.html. Accessed 22 Nov 2010.
  37. Howard, P. (2007). Testing the leap-frog hypothesis: The impact of existing infrastructure and telecommunications policy on the global digital divide. Information, communication & society, 10(2), 133–157.CrossRefGoogle Scholar
  38. Howe, J. (2006). The rise of crowdsourcing. Wired. http://www.wired.com/wired/archive/14.06/crowds_pr.html. Accessed 10 May 2013.
  39. Hyndman, J. (2009). Acts of aid: Neoliberalism in a war zone. Antipode, 41(5), 867–889.CrossRefGoogle Scholar
  40. Jarmolowski, M. (2012). Psychological support during SBTF crisis mapping deployments. Standby task force. http://blog.standbytaskforce.com/psychological-support-during-sbtf-crisis-mapping-deployments/. Accessed 22 Jan 2013.
  41. Kitchin, R. (2013). Big Data and human geography: opportunities, challenges and risks. Dialogues in human geography, 79(1), 1–14.Google Scholar
  42. Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & society, 1(1), 1–12.CrossRefGoogle Scholar
  43. Kwan, M.-P. (2002). Feminist visualization: Re-envisioning GIS as a method in feminist geographic research. Annals of the association of American geographers, 92(4), 645–661.CrossRefGoogle Scholar
  44. Kwan, M.-P. (2007). Affecting geospatial technologies: toward a feminist politics of emotion. The professional geographer, 59(1), 22–34.CrossRefGoogle Scholar
  45. Leitch (@DanielleLeitch), D. (2012). @nyvost Thank you for info and news during tough times. Helped me in Florida keep up + share w/family in Suffolk who had no power/intrnet. Twitter. https://twitter.com/DanielleLeitch/status/267088833743560705. Accessed 1 Nov 2013.
  46. Leszczynski, A. (2012). Situating the geoweb in political economy. Progress in human geography, 36(1), 72–89.CrossRefGoogle Scholar
  47. Letouzé, E. (2012). Big Data for development: challenges & opportunities. UN Global Pulse, 47. http://www.unglobalpulse.org/projects/BigDataforDevelopment. Accessed 10 June 2014.
  48. Liu, S. B., Lacucci, A. A. & Meier, P. (2010). Ushahidi Haiti and Chile: next generation crisis mapping. ACSM Bulletin 246. http://www.webmazine.org/issues/bull246/documents/ushahidi.pdf.
  49. Lohr, S. (2013). The origins of “Big Data”: An etymological detective story. Bits blog. http://bits.blogs.nytimes.com/2013/02/01/the-origins-of-big-data-an-etymological-detective-story/?_r=0. Accessed 10 Sep 2013.
  50. Maron, M. (2010). Haiti OpenStreetMap response. Brain off: Mikel Maron: Building digital technology for our planet. http://brainoff.com/weblog/2010/01/14/1518. Accessed 2 Nov 2011.
  51. Mayer-Schönberger, V., & Cukier, K. (2013). Big Data: A revolution that will transform how we live, work, and think. NY: Houghton Mifflin Harcourt Publishing Company.Google Scholar
  52. McCann, E. J. (2008). Expertise, truth, and urban policy mobilities: global circuits of knowledge in the development of Vancouver, Canada’s “four pillar” drug strategy. Environment and Planning A, 40(4), 885–904.CrossRefGoogle Scholar
  53. McLafferty, S. (2005). Women and GIS: Geospatial technologies and feminist geographies. Cartographica: The International Journal for Geographic Information and Geovisualization, 40(4), 37–45.CrossRefGoogle Scholar
  54. Meier, P. (2010). Haiti and the power of crowdsourcing. iRevolution. http://irevolution.net/2010/01/26/haiti-power-of-crowdsourcing/. Accessed 8 Jul 2012.
  55. Meier, P. (2012a). Crisis mapping in action: How open source software and global volunteer networks are changing the world, one map at a time. Journal of Map & Geography Libraries: ADVANCES in Geospatial Information, Collections & Archives, 8(2), 89–100.CrossRefGoogle Scholar
  56. Meier, P. (2012b). Help tag tweets from Typhoon Pablo to support UN disaster response! iRevolution. http://irevolution.net/2012/12/05/help-microtask-pablo/. Accessed 1 Nov 2013.
  57. Meier, P., & Munro, R. (2010). The unprecedented role of SMS in disaster response: Learning from Haiti. SAIS Review, 30(2), 91–103.Google Scholar
  58. Munro, R. (2013). Crowdsourcing and the crisis-affected community: Lessons learned and looking forward from mission 4636. Journal of Information Retrieval, 16(2), 210–266.CrossRefGoogle Scholar
  59. Olafsson, G. (2012). Humanitarian response in the age of mass collaboration and networked intelligence. Washington, D.C.: Woodrow Wilson International Center for Scholars. http://wilsoncenter.org/sites/default/files/VisionfortheFuture_PositionPaper_0.pdf. Accessed 8 Feb 2013.
  60. Pickles, J. (1995). Representations in an electronic age: Geography, GIS, and democracy. In J. Pickles (Ed.), Ground truth: The social implications of geographic information systems (pp. 1–30). New York: The Guilford Press.Google Scholar
  61. Pickles, J. (2004). A history of spaces: Cartographic reason, mapping, and the geo-coded world. NY: Routledge.Google Scholar
  62. Pinch, T., & Bijker, W. (1987). The social construction of facts and artifacts: Or how the sociology of science and the sociology of technology might benefit each other. In W. Bijker, T. Hughes, & T. Pinch (Eds.), The social construction of technological systems: New directions in the sociology and history of technology. Cambridge, MA: MIT Press.Google Scholar
  63. Polman, L. (2010). The Crisis Caravan: What’s Wrong with Humanitarian Aid? New York: Metropolitan Books.Google Scholar
  64. Rundstrom, R. A. (1995). GIS, indigenous Peoples, and epistemological diversity. Cartography and geographic information systems, 22(1), 45–57.CrossRefGoogle Scholar
  65. Schuurman, N. (2000). Trouble in the heartland: GIS and its critics in the 1990s. Progress in Human Geography, 24(4), 569–590.CrossRefGoogle Scholar
  66. Sheppard, E. (2005). Knowledge production through critical GIS: genealogy and prospects. Cartographica: The International Journal for Geographic Information and Geovisualization, 40(4), 5–21.CrossRefGoogle Scholar
  67. Standby Task Force. (2013). For Eliana… The Standby Task Force. http://blog.standbytaskforce.com/2013/04/15/for-eliana/. Accessed 4 Nov 2013.
  68. Thatcher, J. (2014). Living on fumes: Digital footprints, data fumes, and the limitations of spatial Big Data. International Journal of Communication, 8, 1765–1783. http://ijoc.org/index.php/ijoc/article/view/2174/1158.Google Scholar
  69. United Nations Office for the Coordination of Humanitarian Affairs. 2013. Humanitarianism in the Network Age. UN Office for the Coordination of Humanitarian Affairs. https://ochanet.unocha.org/p/Documents/WEBHumanitarianismintheNetworkAgevFsingle.pdf. Accessed 15 Apr 2013.
  70. Wajcman, J. (1991). Feminism confronts technology. University Park, PA: Pennsylvania State University Press.Google Scholar
  71. Weizman, E. (2012). The least of all possible evils: Humanitarian violence from Arendt to Gaza. NY: Verso Books.Google Scholar
  72. Wilson, M. W. (2011). Data matter(s): legitimacy, coding, and qualifications-of-life. Environment and Planning D: Society and Space, 29(5), 857–872.CrossRefGoogle Scholar
  73. Winner, L. (1985). Do artifacts have politics? In D. MacKenzie & J. Wajcman (Eds.), The social shaping of technology (pp. 26–38). Philadelphia, PA: Open University Press.Google Scholar
  74. Ziemke, J. (2012). Crisis mapping: The construction of a new interdisciplinary field? Journal of Map & Geography Libraries: Advances in geospatial information, collections & archives, 8(2), 101–117.CrossRefGoogle Scholar
  75. Zook, M. (2005). The geography of the internet industry: venture capital, dot-coms, and local knowledge. Malden, MA: Blackwell Publishing.CrossRefGoogle Scholar
  76. Zook, M., Graham, M., Shelton, T., & Gorman, S. (2010). Volunteered geographic information and crowdsourcing disaster relief: A case study of the Haitian earthquake. World Medical & Health Policy, 2(2), 7–33.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of GeographyUniversity of WashingtonSeattleUSA

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