Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities

The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data from our cities. In this paper, we investigate a novel way of analyzing data from social sciences studies by employing machin...

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Bibliographic Details
Main Authors: Laura Erhan, Maryleen Ndubuaku, Enrico Ferrara, Miles Richardson, David Sheffield, Fiona J. Ferguson, Paul Brindley, Antonio Liotta
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data analysis
data science
smart cities
social science
urban analytics
urban planning
Online Access:https://ieeexplore.ieee.org/document/8633833/

Internet

https://ieeexplore.ieee.org/document/8633833/

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