urbancomputinglab.org

Urban Computing Lab

Welcome to the Urban Computing Lab at the University of Maryland! We focus on improving cities through digital footprints of human activity. Our objective is to understand human behavior in urban environments and how these relate to the underlying socioeconomic geographies. We combine data mining and machine learning techniques to extract behavioral signatures from mobile and ubiquitous technologies. 01/01: Our work on Twitter and urban planning in Phys.org.

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Urban Computing Lab | urbancomputinglab.org Reviews

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Welcome to the Urban Computing Lab at the University of Maryland! We focus on improving cities through digital footprints of human activity. Our objective is to understand human behavior in urban environments and how these relate to the underlying socioeconomic geographies. We combine data mining and machine learning techniques to extract behavioral signatures from mobile and ubiquitous technologies. 01/01: Our work on Twitter and urban planning in Phys.org.

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Urban Computing Lab | urbancomputinglab.org Reviews

https://urbancomputinglab.org

Welcome to the Urban Computing Lab at the University of Maryland! We focus on improving cities through digital footprints of human activity. Our objective is to understand human behavior in urban environments and how these relate to the underlying socioeconomic geographies. We combine data mining and machine learning techniques to extract behavioral signatures from mobile and ubiquitous technologies. 01/01: Our work on Twitter and urban planning in Phys.org.

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urbancomputinglab.org

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People - Urban Computing Lab

http://www.urbancomputinglab.org/people

Vanessa Frias-Martinez, Assistant Professor. Sibren Isaacman, Visiting Professor (from Loyola University Maryland). Lingzi Hong, PhD student. Jiahui Wu, PhD student. Kiran Javkar, PhD student. Suraj Nair, PhD student. Albert Kim, undergraduate. Mark Kwegyir-Aggrey, undergraduate. Varun Mohan, undergraduate. Kyle Saggar, undergraduate. Victor Sellemi, undergraduate. Jay Ghurye, PhD student. Mingsheng (Billy) Wu, Undergraduate student. Tony Liang, Undergraduate student. Rishi Dole, Masters' student.

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Projects - Urban Computing Lab

http://www.urbancomputinglab.org/projects

Our funding sources are the National Science Foundation (NSF) and the World Bank (WB). Modeling Urban Poverty and Security in Emerging Regions. We aim to automatically model poverty and security issues in large cities of developing regions. Our objective is to provide actionable information for policy makers and to have an impact in the cities of the 21st century. Understanding Behavioral Patterns during Natural Disasters.

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Publications - Urban Computing Lab

http://www.urbancomputinglab.org/p

18 Jay Ghurye, Gautier Krings, Vanessa Frias-Martinez,"A Framework to Model Human Behavior at Large Scale during Natural Disasters", IEEE International Conference on Mobile Data Management, MDM. Lingzi Hong, Enrique Frias-Martinez and Vanessa Frias-Martinez, "Topic Models to Infer Socioeconomic Maps",. Conference on Artificial Intelligence, 2016 [PDF]. Bill Wu, Lingzi Hong and Vanessa Frias-Martinez, "Crowdsourcing Biking Times", Workshop on Pervasive Urban Applications,. Andreea Molnar, Jesus Virseda an...

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Assistant Professor in the iSchool. Affiliate Assistant Professor in the Computer Science Department. University of Maryland, College Park. 2123B Hornbake Building, University of Maryland, College Park, MD 20742. Urban computing, human behavioral modeling (mobility and social networks), large-scale spatio-temporal data mining, data for social good. Paper accepted at MDM on mobility patterns during disasters. Paper accepted at AAAI on socioeconomic maps and topic models!

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urbancomputinglab.org

Urban Computing Lab

Welcome to the Urban Computing Lab at the University of Maryland! We focus on improving cities through digital footprints of human activity. Our objective is to understand human behavior in urban environments and how these relate to the underlying socioeconomic geographies. We combine data mining and machine learning techniques to extract behavioral signatures from mobile and ubiquitous technologies. 01/01: Our work on Twitter and urban planning in Phys.org.

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