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Reading List

Included below is a selection of resources you may find useful. For a complete reading list please see the LEARN site.

We recommend some of the following documents and websites, but the particular ones that you choose will depend on the specific details of your project.

  • Gray, D. E., 2004. Doing Research in the Real World. London. SAGE Publications.
  • Kitchin, R., 2014. The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. SAGE.
  • Ratti, Carlo, and Matthew Claudel 2016, The City of Tomorrow Sensors, Networks, Hackers, and the Future of Urban Life (Yale University Press, 2016) Ch. 1 pp. 3-13
  • Kenneth Cukier and Viktor Mayer-Schönberger, “The Rise of Big Data,” Foreign Affairs, May/June 2013, pp. 28-40.
  • Oliver Bates and Adrian Friday. “Beyond Data in the Smart City: Repurposing Existing Campus IoT.” IEEE Pervasive Computing (Volume: 16 , Issue: 2 , April-June 2017)
  • Lisa Gitelman and Virginia Jackson, “Introduction,” in “Raw Data” is an Oxymoron, (Lisa Gitelman, ed.), pp. 1-14, The MIT Press, 2012.
  • Shannon Mattern, Methodolatry and the Art of Measure. A New Wave of Urban Data Science. Places Journal. Nov 2013

Participatory and Co-Design

Designing for Change

Thinking about Socio-technical Change

  • Elizabeth Shove (2014) Putting practice into policy: reconfiguring questions of consumption and climate change, Contemporary Social Science, 9:4, 415-429, DOI: 10.1080/21582041.2012.692484
  • Head, B. W., & Alford, J. (2015). Wicked Problems: Implications for Public Policy and Management. Administration and Society, 47(6), 711–739. http://doi.org/10.1177/0095399713481601

Ethics, Privacy and Data Management

Data Visualisation

Data Vis Tools and Tutorials

FOR MORE COMPLETE LIST SEE TOOLS PAGE or LEARN

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