[HBS Scholarly Articles] BigDataFr recommends: Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

BigDataFr recommends: Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

Abstract

[…] New, “big” data sources allow measurement of city characteristics and outcome variables higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. […]

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By Glaeser, Edward L., Scott Duke Kominers, Michael Luca, and Nikhil Naik. « Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life. » Harvard Business School Working Paper, No. 16-065, November 2015.
Source: nrs.harvard.edu/urn-3:HUL.InstRepos:24009688

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