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A roundtable discussion: Defining urban data science

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Abstract

The field of urban analytics and city science has seen significant growth and development in the past 20 years. The rise of data science, both in industry and academia, has put new pressures on urban research, but has also allowed for new analytical possibilities. Because of the rapid growth and change in the field, terminology in urban analytics can be vague and unclear. This paper, an abridged synthesis of a panel discussion among scholars in Urban Data Science held at the 2019 American Association of Geographers Conference in Washington, D.C., outlines one discussion seeking a better sense of the conceptual, terminological, social, and ethical challenges faced by researchers in this emergent field. The panel outlines the difficulties of defining what is or is not urban data science, finding that good urban data science must have an expansive role in a successful discipline of “city science.†It suggests that “data science†has value as a “signaling†term in industrial or popular science applications, but which may not necessarily be well-understood within purely academic circles. The panel also discusses the normative value of doing urban data science, linking successful practice back to urban life. Overall, this panel report contributes to the wider discussion around urban analytics and city science and about the role of data science in this domain.

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  • , 2019. "A roundtable discussion: Defining urban data science," Environment and Planning B, , vol. 46(9), pages 1756-1768, November.
    • Handle: RePEc:sae:envirb:v:46:y:2019:i:9:p:1756-1768
    DOI: 10.1177/2399808319882826
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    1. TANNIER, Cécile & THOMAS, Isabelle & VUIDEL, Gilles & FRANKHAUSER, Pierre, 2011. "A fractal approach to identifying urban boundaries," LIDAM Reprints CORE 2297, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Nikhil Naik & Ramesh Raskar & César A. Hidalgo, 2016. "Cities Are Physical Too: Using Computer Vision to Measure the Quality and Impact of Urban Appearance," American Economic Review, American Economic Association, vol. 106(5), pages 128-132, May.
    3. Taylor Shelton & Ate Poorthuis, 2019. "The Nature of Neighborhoods: Using Big Data to Rethink the Geographies of Atlanta’s Neighborhood Planning Unit System," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(5), pages 1341-1361, September.
    4. Boeing, Geoff, 2018. "Urban Spatial Order: Street Network Orientation, Configuration, and Entropy," SocArXiv qj3p5, Center for Open Science.
    5. Malcolm J Beynon & Andrew Crawley & Max Munday, 2016. "Measuring and understanding the differences between urban and rural areas," Environment and Planning B, , vol. 43(6), pages 1136-1154, November.
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    Cited by:

    1. Geoff Boeing & Michael Batty & Shan Jiang & Lisa Schweitzer, 2022. "Urban analytics: History, trajectory and critique," Chapters, in: Sergio J. Rey & Rachel S. Franklin (ed.), Handbook of Spatial Analysis in the Social Sciences, chapter 30, pages 503-516, Edward Elgar Publishing.
    2. Boeing, Geoff, 2020. "Exploring Urban Form Through Openstreetmap Data: A Visual Introduction," SocArXiv rnwgv, Center for Open Science.
    3. Geoff Boeing, 2020. "Urban Street Network Analysis in a Computational Notebook," REGION, European Regional Science Association, vol. 7, pages 39-51.

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    City analytics; urban data;

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