Recommended Reading

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.
  • Offenhuber, Dietmar, and Carlo Ratti, Waste Is Information: Infrastructure Legibility and Governance (MIT Press, 2017
  • 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

Circular Economy Resources