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OGLM 2130 - Open data for Urban Research

Type d'enseignement : Elective

Semester : Autumn 2018-2019

Number of hours : 12

Language of tuition : English

Pre-requisite

None

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.

Teachers

  • 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)

Course validation

The students in this course will be invited to produce two (graded) outcomes: Open Data Census entries: Students will fill an Open Data Census website with the results of their research, giving precise explanations on their research process. Data quality sprint: students will follow a guided methodology to assess the quality of a specific dataset and publish their findings in a structured way

Required reading

  • Bouk, D. 2015. How Our Days Became Numbered. Risk and the Rise of the Statistical Individual. Chicago: University of Chicago Press.
  • Bruno, Isabelle, Didier, Emmanuel, and Prévieux, Julien. 2014. Statactivisme. Comment lutter avec des nombres. Paris, La Découverte.
  • Bruno, Isabelle, Jany-Catrice, Florence, and Touchelay, Beatrice (eds). 2016. The Social Sciences of Quantification. From Politics of Large Numbers to Target-Driven Policies. New York, Springer
  • Davies, Tim. 2010. “Open Data, Democracy and Public Sector Reform. A Look at Open Government Data Use from data.gov.uk.”
  • Denis, Jérôme and Goëta, Samuel. 2017. “Rawification and the Careful Generation of Open Government Data,” Social Studies of Science 47(5): 604–29.

Additional required reading

  • Desrosières, Alain. 2014. “Statistics and Social Critique.” Partecipazione e Conflitto 7(2): 348–59.
  • Desrosières, Alain. 1993. La raison des grands nombres. Histoire de la raison statistique. Paris, La Découverte [English translation].
  • Desrosières, Alain. 2003. “Comment fabriquer un espace de commune mesure ? Harmonisation des statistiques et réalisme de leurs usages,” in Lallement, Michel and Spurk, Jan (eds.), Stratégies de la comparaison internationale, Paris, CNRS Éditions, pp. 151–66.