Urban Data Management, Analysis and Visualization
Abstract
The large volumes of urban data, along with vastly increased computing power, open up new
opportunities to better understand cities. Encouraging success stories show that data can be
leveraged to make operations more efficient, inform policies and planning, and improve the
quality of life for residents. However, analyzing urban data often requires a staggering amount of
work, from identifying relevant datasets, cleaning and integrating them, to performing
exploratory analyses and creating predictive models that take into account spatio-temporal
processes. Our long-term goal is to enable domain experts to crack the code of cities by freely
exploring the vast amounts of urban data. In this talk, we will present methods and systems
which combine data management, analytics, and visualization to increase the level of
interactivity, scalability, and usability for urban data exploration. We will show practical
applications of the novel technology in real applications. This work was supported in part by the
National Science Foundation, the Moore-Sloan Data Science Environment at NYU, IBM Faculty
Awards, AT&T, NYU Tandon School of Engineering and the NYU Center for Urban Science
and Progress.
Bio
Cláudio T. Silva is a professor of computer science and engineering and data science at New
York University. He has appointments at the Tandon School of Engineering, Center for Data
Science, Center for Urban Science and Progress, and Courant Institute of Mathematical Sciences.
His research interests include urban computing, data science, visual analytics, geometric
computing, and sports analytics. He received his PhD in computer science from the State
University of New York at Stony Brook in 1996. He is an IEEE Fellow and was the recipient of
the 2014 IEEE Visualization Technical Achievement Award. Claudio is co-PI on the NSF-
funded Sounds of New York City (SONYC) project, whose goal is to create an aural map of
NYC to help city agencies and residents to help address the problem of noise pollution.
Date: 2018-Jun-05 Time: 15:30:00 Room: DEI Meeting Room
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