Welcome to VIDA

The Visualization and Data Analytics Research Center at NYU consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data sources and data types demand.

We work in the areas of Visualization, Imaging and Data Analysis.


Research in graphic design methods as well as the effective use of visualization methods and techniques to explore and interpret high-dimensional data. Our group has worked in urban and sports computing, as well as in the areas of biochemistry, cybersecurity, development, healthcare, climate sciene and human rights.


Development of novel imaging analysis methodologies related to segmentation, shape analysis and image statistics. Our work is multidisciplinary, primarily collaborating with experts in clinical imaging on research in areas including schizophrenia, autism, multiple sclerosis.


Creation of novel data management and analysis methods applied to urban, scientfic, web, and public health domains. Our group has particular expertise in provenance and computational reproducibility and personal-data informatics.


07/2019 Claudio Silva and Bowen Yu selected to recieve Best Paper Award for VAST 2019 with “FlowSense: A Natural Language Interface for Visual Data Exploration with a Dataflow System”.
07/2019 With NYU Tandon’s help, the American Museum of Natural History relaunches Apollo 11
04/2019 Neel Dey receives Deborah Rosenthal Award for his outstanding PhD Qualification Exam performance
04/2019 Cristian Felix receives prestigious Pearl Brownstein Doctoral Research Award
04/2019 Juliana Freire delivers Keynote Talk at the IEEE International Conference on Data Engineering
03/2019 Prof. Chunara giving a talk at the Connective Media Brown Bag Lunch, Cornell Tech
03/2019 CHI 2019 honorable mention goes to Jorge H Piazentin Ono, Arvi Gjoka, Justin Salamon, Carlos Dietrich, Claudio Silva
02/2019 Rumi Chunara receives prestigious NSF CAREER Award
01/2019 Kien Pham and Aecio Santos paper “Bootstrapping Domain-Specific Content Discovery on the Web” accepted to WWW2019

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