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OGLM 2130 - Open data for Urban Research

Type d'enseignement : Elective

Semester : Autumn 2017-2018

Number of hours : 12

Language of tuition : English



Course Description

This workshop offers a critical analysis of how urban-level data are produced, interpreted, and, increasingly,released to the public. It was designed specifically for this Masters, alongside the “Advanced Quantitative Methods” course, which enables students to build on their existing statistical training by mixing qualitative and quantitative insights.Students will learn to assess the quality of existing open data resources, critically discuss their political implications, and produce their own catalogue of real-world public datasets.In order to have a better understanding of the pitfalls of any open data project, we will follow the School of Data pipeline in this class which will allow us to review all the necessary steps in any open data project.


  • BRIATTE, François (PhD Candidate - University of Grenoble)
  • GOETA, Samuel (Phd Student, Télécom ParisTech)
  • GOMBIN, Joel (PhD Candidate in political science, Université de Picardie Jules Verne)

Required reading

  • Harlan Yu and David G. Robinson, "The New Ambiguity of ‘Open Government'"
  • David Ribes and Steven J. Jackson, "Data Bite Man: The Work of Sustaining a Long-Term"
  • Garrett Grolemund and Hadley Wickham, "Tidy Data" (in R for Data Science , 2017)
  • Wendy N. Espeland and Mitchell L. Stevens, "A Sociology of Quantification"
  • Kieran Healy and James Moody, "Data Visualization in Sociology"

Additional required reading

  • Severino Ribecca, "The Data Visualization Catalogue"
  • Financial Times, "Visual Vocabulary. Designing with Data"