MURAL - Maynooth University Research Archive Library

    Crowdsourcing: A Geographic Approach to Public Engagement, The Programmable City Working Paper 6

    Lauriault, Tracey P. and Mooney, Peter (2014) Crowdsourcing: A Geographic Approach to Public Engagement, The Programmable City Working Paper 6. In: Internet Politics and Policy Conference, 2014, Oxford Internet Institute.

    Download (912kB) | Preview
    Official URL:

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    In this paper we examine three geographic crowdsourcing models, namely: volunteered geographic information (VGI), citizen science (CS) and participatory mapping (PM) (Goodchild, 2007; Audubon Society, 1900; and Peluso, 1995). We argue that these geographic knowledge producing practices can be adopted by governments to keep databases up to date (Budhathoki et al., 2008), to gain insight about natural resources (Conrad and Hilchey, 2011), to better understand the socio-economy of the people it governs (Johnston and Sieber, 2013) and as a form of data-based public engagement. The paper will be useful to governments and public agencies considering using geographic crowdsourcing in the future. We begin by defining VGI, CS, PM and crowdsourcing. Two typologies are then offered as methods to conceptualize these practices and the Kitchin (2014) data assemblage framework is proposed as a method by which state actors can critically examine their data infrastructures. A selection of exemplary VGI, CS and PM from Canada and the Republic of Ireland are discussed and the paper concludes with some high level recommendations for administrations considering a geographic approach to crowdsourcing.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Presented at the Internet Politics and Policy Conference, Oxford Internet Institute 2014,
    Keywords: crowsourcing, mapping, geography, cartography, participatory mapping, volunteered geographic inforamtion, VGI, community mapping
    Academic Unit: Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > National Institute for Regional and Spatial analysis, NIRSA
    Item ID: 5681
    Depositing User: Tracey Lauriault
    Date Deposited: 15 Jan 2015 11:57
    Publisher: Programmable City
    Refereed: No
    Funders: European Research Council
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

      Repository Staff Only(login required)

      View Item Item control page


      Downloads per month over past year

      Origin of downloads