Visualizing Big Data

Through advanced computing and our visualization facilities, the Center for Visual & Decision Informatics creates decision-making environments (DME) that allow users to explore, customize and, ultimately, gain better insight into their information.

A Big Data Sciences Collaboration Center

Established in 2012, the Center for Visual and Decision Informatics works in partnership with government, industry, and academia to develop the next-generation visual and decision support tools and techniques that enable decision-makers to significantly improve the way their organization's data is organized and interpreted. 

University Partners 





Focus Areas


  • Completed 58 IAB - funded projects in 6 years with 142 undergrad and graduate students 
  • Awarded 2 million dollars in NSF research funding including supplements for undergraduates, teachers and veterans (UL Lafayette only) and total center funding topped $9.9 million in Y1 -Y7.
  • Nominated by industry for 2 technology breakthroughs
  • Published 165 CVDI-related papers, filed 72 invention disclosures and completed 4 licensing agreements
  • Organized first ever IEEE international conference on Big Data
  • Coordinate two annual hackathons - CajunCodeFest and the Philly Code Fest
  • Recognized as the first and only NSF I/UCRC to focus on Big Data
  • Noted as the only I/UCRC center in Louisiana
  • Successfully added an international academic research site in 2015 - Tampere University in Finland
  • Moved to Phase II of the IUCRC program on March 1, 2017 adding the University of Virginia, StonyBrook University and the University of North Carolina at Charlotte

 A National Science Foundation Industry University Cooperative Research Center (IUCRC)

CVDI is part of NSF IUCRC program that promotes high-quality industry relevant research and direct technology transfer of ideas, research results and technology to U.S. industry. It brings a consortium of researchers and students across multiple universities to advance research and innovation in big data with respect to Internet of Things – specifically how large scale multi-dimensional datasets are analyzed and interpreted using advanced data mining, and visual and perceptual techniques for decision makers. 

Official Website | Member Login


Email us