Urban Research Seminar Series : Open, Crowdsourced Data and the Prediction of Perceived Cycling Safety at City Scale

Presented by the NYU Urban Initiative

November
20
3:00pm - 4:15pm EST
Private
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Date:
November 20, 2019
Time:
3:00pm - 4:15pm
Location:
NYU Center for Urban Science + Progress, 370 Jay Street, Brooklyn, NY 11201

The NYU Urban Initiative in partnership with CUSP presents Vanessa Frias- Martinez in this week's Urban Research Seminar. This Seminar will take place at NYU Center for Urban Science + Progress (CUSP) in Downtown Brooklyn.

Vanessa Frias-Martinez is an assistant professor in the iSchool and UMIACS, and an affiliate assistant professor in the Department of Computer Science at the University of Maryland, College Park. She also leads the Urban Computing Lab. Frias-Martinez's research areas are data-driven behavioral modeling and spatio-temporal data mining. Her research focuses on the use of large-scale ubiquitous data to model the interplay between human mobility and the physical environment. Specifically, Frias-Martinez develops methods to model and predict human behaviors in different contexts and creates tools to aid decision makers in areas such as disaster preparedness and response or urban planning. Her research is funded by the National Science Foundation, including a CAREER Award, and by the World Bank.  Before coming to UMD, she spent five years at Telefonica Research, and completed internships at Google and the United Nations Development Program (UNDP). Frias-Martinez received her PhD in Computer Science from Columbia University in 2008. 

 

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