CVDI’s mission is to research and develop next generation visual and decision support tools and techniques to enable decision makers in government and industry to fundamentally improve the way their organization’s information is interpreted and analyzed. CVDI brings together, analytic, visual and perceptual techniques by advancing the state-of-the-art in the research fields of Information Visualization, Visual Analytics and Automated Analysis. This research is supported by advanced computing and visualization facilities to create Decision-Making Environments (DME) – a framework that will enable users to explore and customize information streams in a variety of modalities to gain better insight to that information.
ACCELERATE ♦ DISCOVER ♦ CREATE
Accelerate the creation and transfer of knowledge and technology to industry and commercial products
Discover, share and leverage synergies of concepts, technologies and resources needed by industry-relevant Visual and Decision Informatics research
Create a future workforce that benefits the local and national economy by educating a diverse body of students on the interdisciplinary field of Visual and Decision Informatics
AN INDUSTRY/UNIVERSITY COOPERATIVE RESEARCH CENTER
The Center for Visual and Decision Informatics (CVDI) is a multi-university – industry research center founded in February 2012 by the University of Louisiana at Lafayette and Drexel University. In 2014, the Center added international academic partner site Tampere University of Technology in Finland.
CVDI is part of NSF Industry/University Cooperative Research Center 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. The core strengths of CVDI are in the area of visual analytics, predictive analytics, interactive visualization, and data summarization methods.
Business analysts have typically worked to a requirements-based model, answering clearly defined business questions. Big data, however, demands a different approach, using opportunistic analytics and exploring answers to ill-formed or nonexistent questions. Through a unique partnership with our Industry Advisory Board members, our researchers identify and address state-of-the-art challenges in Big Data, including event emergence in networked data, mining and visualization of patterns in data streams and cross-enterprise data integration.
CVDI is currently in Phase I of the I/UCRC program funded by industry members and the NSF . Tampere University of Technology also receives funding from TEKES, a Finnish funding agency for innovation.