January 21, 2016: Distinguished Lecture Series - Claudio Silva: "Visualization and Analysis of Urban Data"

Distinguished Lecture Series

Visualization and Analysis of Urban Data

Claudio Silva
Ney York University
Thursday January 21, 2015
11:00 a.m., Room 1000 SEO Building


Today, 50% of the world's population lives in cities and the number will grow to 70% by 2050. Urban data opens up many new opportunities to improve cities and people?s lives. In NYC, by integrating and analyzing data sets from multiple city agencies, the Bloomberg administration was able improve the success rate of inspections. A marked reduction in crime both in New York and Los Angeles has been in part attributed to data-driven policing. Policy changes have also been triggered by data-driven studies that, for example, showed correlations between foreclosures and increase in crime, the effects of subsidized housing on surrounding neighborhoods, and how low income households use the flexibility provided by vouchers to reach neighborhoods with high performing schools. But in each of these successes, the level of effort required to gather, integrate, analyze the relevant data, design and refine models, or develop and deploy apps, is staggering. Further as data volumes and data complexity continue to explode, these problems are only getting worse. In this talk, we will provide an overview of research in the development of new methods and systems for enabling interdisciplinary teams to better understand cities. We will also show some applications of our work.


Claudio Silva is a Professor of Computer Science and Engineering and Data Science at New York University. Claudio?s research lies in the intersection of visualization, data analysis, and geometric computing, and recently he has been interested in the analysis of urban and sports data. Silva's work has received a number of major awards. In 2013, he was elected an Institute of Electrical and Electronics Engineers fellow and in 2014 he won the IEEE Visualization Technical Achievement Award. He helped develop MLB.com's Statcast player tracking system, which won the Alpha Award for Best Analytics Innovation/Technology at the 2015 MIT Sloan Sports Analytics Conference. In 2015, he was elected Chair of the IEEE Technical Committee on Visualization and Computer Graphics.

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