Center for Visual and Decision Informatics

Big Data...Big Impacts

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about:cvdi [2021/06/24 14:30]
andrea.frey 		about:cvdi [2021/06/24 15:07]
andrea.frey [Vision]
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-====Overview====+
  
 CVDI is part of the **National Science Foundation Industry University Cooperative Research Center (IUCRC)** program that promotes high-quality industry-relevant research and direct technology transfer of ideas, research results and technology to the U.S. industry.  CVDI is part of the **National Science Foundation Industry University Cooperative Research Center (IUCRC)** program that promotes high-quality industry-relevant research and direct technology transfer of ideas, research results and technology to the U.S. industry. 
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 The Center brings a consortium of researchers and students across multiple universities to advance research and innovation in big data with respect to the 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. For more information on NSF IUCRCs please visit https://iucrc.nsf.gov The Center brings a consortium of researchers and students across multiple universities to advance research and innovation in big data with respect to the 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. For more information on NSF IUCRCs please visit https://iucrc.nsf.gov
  
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 +====Mission====
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 +CVDI's mission is to research and develop next-generation technologies in data science, big data analytics, including visual analytics, augmented intelligence, and decision informatics to enable decision-makers in government and industry to fundamentally improve the way their organization’s information is interpreted and analyzed. CVDI will bring 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.
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 +<fc #4682b4>//CVDI’s value proposition offers a low-cost, low-risk venue for the industry to validate the early-stage innovation with the involvement of major research university faculty, post-doctorate scholars, and students.//</fc> 
  
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 ==== Goals ==== ==== Goals ====
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-====Mission==== 
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-CVDI's mission is to research and develop next-generation technologies in data science, big data analytics, including visual analytics, augmented intelligence, and decision informatics to enable decision-makers in government and industry to fundamentally improve the way their organization’s information is interpreted and analyzed. CVDI will bring 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. 
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-<fc #4682b4>//CVDI’s value proposition offers a low-cost, low-risk venue for the industry to validate the early-stage innovation with the involvement of major research university faculty, post-doctorate scholars, and students.//</fc>  
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 ====Focus==== ====Focus====
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 the areas of data acquisition and management, analytics, visualization & human interaction, applications to drive innovation in visual and decision informatics. The research topics within the analytics domain include visual analytics, predictive analytics, augmented intelligence, data summarization, deep learning, complex systems analysis, evolutionary optimization, agent-based models and simulation, privacy-preserving learning, and meta learning. New visualization and human-computer interaction topics include interactive visualization, human-computer interaction modeling, cognitive assistance, and immersive analytics. Topics in data management include big data platforms, knowledge organization, data fusion and integration, parallel processing of massively large datasets, and green computing. The Center also brings complementary expertise in health informatics, biomedicine, energy, computational law, education, cybersecurity, disaster management, advanced manufacturing, psychology, and environmental science. the areas of data acquisition and management, analytics, visualization & human interaction, applications to drive innovation in visual and decision informatics. The research topics within the analytics domain include visual analytics, predictive analytics, augmented intelligence, data summarization, deep learning, complex systems analysis, evolutionary optimization, agent-based models and simulation, privacy-preserving learning, and meta learning. New visualization and human-computer interaction topics include interactive visualization, human-computer interaction modeling, cognitive assistance, and immersive analytics. Topics in data management include big data platforms, knowledge organization, data fusion and integration, parallel processing of massively large datasets, and green computing. The Center also brings complementary expertise in health informatics, biomedicine, energy, computational law, education, cybersecurity, disaster management, advanced manufacturing, psychology, and environmental science.
  
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-====Recognition==== 
-  * Only IUCRC with “Visualization & Big Data Analytics” focus 
-  * Jointly created by UL Lafayette & Drexel in 2012, Tampere University joined in 2015, Stony Brook University joined in 2017, University of Virginia joined in 2017. UNC Charlotte joined in 2018.  
-  * One of only 25 NSF CISE Centers in the US 
-  * One of six IUCRCs in the country with an International Research Site 
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 ====Why should I join as an Industry Member? ==== ====Why should I join as an Industry Member? ====
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   * ROI is maximized by the high level of IAB investment.   * ROI is maximized by the high level of IAB investment.
  
-[[about:frequently_asked_questions|See Frequently Asked Questions]]+[[  about:frequently_asked_questions|See Frequently Asked Questions  ]]
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   * Organized first ever IEEE international conference on Big Data   * Organized first ever IEEE international conference on Big Data
   * Coordinate two annual hackathons - CajunCodeFest and the Philly Code Fest   * Coordinate two annual hackathons - CajunCodeFest and the Philly Code Fest
-  * Recognized as the first and only NSF I/UCRC to focus on Big Data+  * Recognized as the first and only NSF IUCRC to focus on Big Data
   * Successfully added an international academic research site in 2015 - Tampere University in Finland   * 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   * 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
  
  
about/cvdi.txt · Last modified: 2023/08/11 10:17 by andrea.frey

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