Urban Data Science IV: Methods & Models for our Changing Cities

Type: Panel
Theme:
Sponsor Groups: Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/3/2019
Start / End Time: 4:30 PM / 6:10 PM (Eastern Standard Time)
Room: Harding, Marriott, Mezzanine Level
Organizers: Taylor Oshan
Chairs: Taylor Oshan

Call for Submissions

The city is the darling of geographical data science. Population density often begets data density, so urban data science provides fertile ground for the development of new methods and models across many problem domains that span sociology, economics, political science, epidemiology, and geography. Specifically, urban data science is experiencing a significant bout of high-profile attention as exciting new dynamics are captured with increasing detail. This moment provides an immense opportunity for cutting-edge quantitative geographical research, with recent books, high-profile papers, and new research institutes & environments springing up at multiple institutions around the emerging domain of geographic data science. Thus, we aim to help define this new research frontier by fostering a wide-ranging series of sessions showcasing novel geographic data science for dynamic urban processes. We are seeking all folks interested in many of the different core topics in urban geographic data science.


Description

The city is the darling of geographical data science. Population density often begets data density, so urban data science provides fertile ground for the development of new methods and models across many problem domains that span sociology, economics, political science, epidemiology, and geography. Specifically, urban data science is experiencing a significant bout of high-profile attention as exciting new dynamics are captured with increasing detail. This moment provides an immense opportunity for cutting-edge quantitative geographical research, with recent books, high-profile papers, and new research institutes & environments springing up at multiple institutions around the emerging domain of geographic data science. Thus, we aim to help define this new research frontier by fostering a wide-ranging series of sessions showcasing novel geographic data science for dynamic urban processes. We are seeking all folks interested in many of the different core topics in urban geographic data science.


Agenda

Type Details Minutes
Discussant Taylor Oshan Arizona State University 5
Discussant Wei Kang University of California - Riverside 5
Discussant Levi Wolf University of Bristol 5
Panelist Wenfei Xu Columbia University 15
Panelist Ran Wei University of California - Riverside 15
Panelist Geoff Boeing Northeastern University 15
Panelist Song Gao University of Wisconsin 15
Panelist Vanessa Frias-Martinez University of Maryland 15

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