T
Taylor Shelton
Researcher at Georgia State University
Publications - 40
Citations - 4276
Taylor Shelton is an academic researcher from Georgia State University. The author has contributed to research in topics: Big data & Social media. The author has an hindex of 20, co-authored 35 publications receiving 3654 citations. Previous affiliations of Taylor Shelton include Mississippi State University & University of Kentucky.
Papers
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Journal ArticleDOI
Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake
TL;DR: In this article, the authors outline the ways in which information technologies (ITs) were used in the Haiti relief effort, especially with respect to web-based mapping services, focusing on four in particular: CrisisCamp Haiti, OpenStreetMap, Ushahidi and GeoCommons.
Journal ArticleDOI
Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake
TL;DR: In this article, the authors outline the ways in which information technologies (ITs) were used in the Haiti relief effort, especially with respect to web-based mapping services, focusing on four in particular: CrisisCamp Haiti, OpenStreetMap, Ushahidi and GeoCommons.
Posted Content
The 'Actually Existing Smart City'
TL;DR: In this paper, the authors argue that the critique of the smart city in its historical and geographical context should be paid to the actually existing smart city, rather than the exceptional or paradigmatic smart cities of Songdo, Masdar and Living PlanIT Valley.
Journal ArticleDOI
The ‘actually existing smart city’
TL;DR: In this paper, the authors argue that the critique of the smart city in its historical and geographical context should be paid to the actually existing smart city, rather than the exceptional or paradigmatic smart cities of Songdo, Masdar and Living PlanIT Valley.
Journal ArticleDOI
Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb
Jeremy W. Crampton,Mark Graham,Ate Poorthuis,Taylor Shelton,Monica Stephens,Matthew W. Wilson,Matthew Zook +6 more
TL;DR: In this article, the authors explore alternative methods and conceptual frameworks that might allow for one to overcome the limitations of previous analyses of user-generated geographic information, and suggest a cautious approach toward the use of the geoweb and big data that are as mindful of their shortcomings as their potential.