The Beauty of Data Visualization
David McCandless on turning data into art
Visualizing data.
Amplifying understanding.
The Visualization Imaging and Data Analysis 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.
We work in the areas of Visualization, Imaging and Data Analysis, generating hypotheses and methods that new data sources and data types demand.
VIDA
Visualization Imaging
& and Data Analysis Center
NYU Tandon School of Engineering
Co-directed by Professors Claudio Silva and Juliana Freire, VIDA brings together researchers working on visualization, data management, machine learning, and urban analytics.
VIDA Research Lab
Multimodal, interactive research experiences.
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Explore the lab
Research Impact
Latest from the Lab
News & Events
View all →Haoyue Ping's paper accepted to SIGMOD
Congratulations to Haoyue Ping on having his first-author paper 'Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences' accepted to SIGMOD.
Paper accepted to NeurIPS 2022
Congratulations to Mengwei Ren and Neel Dey on their paper 'Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis' accepted to NeurIPS 2022.
SUBPLEX paper in IEEE CG&A
Congratulations to Jun, Gromit, Brian, Kyle, Kim, Gustavo, Enrico and Claudio on their SUBPLEX paper in IEEE Computer Graphics & Applications.
Recent Publications
View all →A GPU-friendly Geometric Data Model and Algebra for Spatial Queries
Harish Doraiswamy, Juliana Freire
BugDoc: Algorithms to Debug Computational Processes
Raoni Lourenço, Juliana Freire, Dennis Shasha
COVID-19 Transforms Health Care Through Telemedicine: Evidence from the Field
Devin M. Mann, Ji Chen, Rumi Chunara et al.
Data-Driven Domain Discovery for Structured Datasets
Masayo Ota, Heiko Mueller, Juliana Freire et al.
Active Projects
View all →ACHE
ACHE is a focused web crawler that collects web pages satisfying specific criteria using page classifiers and intelligent link prioritization.
ARIES - ARt Image Exploration Space
ARIES is an interactive image manipulation system that enables the exploration and organization of fine digital art through dynamic overlays and advanced image comparisons.
BDF - Biomedical Data Fabric
The Biomedical Data Fabric (BDF) Toolbox program aims to simplify the integration of biomedical research data from different sources, addressing challenges posed by incompatible data formats and standards.
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Researchers
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Publications
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Projects
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Research Areas