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Award Abstract #1331800

CyberSEES: Type 2: Data Integration for Urban Metabolism

NSF Org: CCF
Division of Computing and Communication Foundations
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Initial Amendment Date: September 9, 2013
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Latest Amendment Date: June 5, 2014
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Award Number: 1331800
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Award Instrument: Standard Grant
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Program Manager: Richard Brown
CCF Division of Computing and Communication Foundations
CSE Direct For Computer & Info Scie & Enginr
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Start Date: October 1, 2013
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End Date: September 30, 2016 (Estimated)
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Awarded Amount to Date: $616,000.00
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Investigator(s): Maria Cruz isabelcfcruz@gmail.com (Principal Investigator)
Ning Ai (Co-Principal Investigator)
Sybil Derrible (Co-Principal Investigator)
Thomas Theis (Co-Principal Investigator)
Samuel Dorevitch (Co-Principal Investigator)
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Sponsor: University of Illinois at Chicago
809 S MARSHFIELD
Chicago, IL 60612-4305 (312)996-2862
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NSF Program(s): INFORMATION TECHNOLOGY RESEARC,
COMM & INFORMATION FOUNDATIONS,
CyberSEES
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Program Reference Code(s): 9251
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Program Element Code(s): 1640, 7797, 8211

ABSTRACT

Urban metabolism (UM) is a term that captures the essential functions of cities and their inhabitants: flows and transformations of materials and energy, the movement of people, commerce, the creation of capital, the maintenance and renewal of facilities, and the generation and use of services. In order to study UM, large amounts of heterogeneous data need to be accessed, integrated, and analyzed. This project will investigate the feasibility of a framework for UM that encompasses: (1) The application of appropriate metrics to UM trends to establish whether regime shifts are indicative of greater or lesser sustainable urban states; (2) The identification and integration of disaggregated data for the inputs and outputs of urban systems through their life cycle stages and at various geographic scales.

The interdisciplinary team consists of six investigators (a computer scientist, a civil engineer, an urban planner, an environmental engineer, a medical doctor, and a public health scientist) and of four international collaborators (three computer scientists and one environmental engineer). Broader impacts include providing unique opportunities to educate students in the analysis and design of sustainable urban regions in a variety of socio-cultural contexts. Further, by revealing the connections between physical flows and environmental, social, health, and economic impacts, this research aims to demonstrate the critical need of an integrated systems approach to urban planning, instead of focusing on the end-of-pipe and post-crisis management, as the current paradigm.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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N. Ahmad and S. Derrible. "Evolution of Water Consumption in the USA: A Network Approach," Journal of Industrial Ecology, v.19, 2015, p. 321. 

D. Faria, C. Pesquita, E. Santos, I. F. Cruz, F. Couto. "Automatic Background Knowledge Selection for Matching Biomedical Ontologies," PLoS One, v.9, 2014, p. e111226. 

 

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