Center for Visual and Decision Informatics (CVDI)
The Center for Visual and Decision Informatics (CVDI) conducts multidisciplinary, cross-institutional research to develop the visual and decision support tools and techniques that allow leaders to improve the way their organization's data are organized and interpreted. CVDI develops visualization and data analytics techniques for sectors including government, health care, sustainability, transportation, commerce, and finance. As part of its efforts, CVDI recognizes the importance of research related to ethics, accountability, and transparency, when data analytics has to function in increasingly complex and emerging contexts such as augmented intelligence and cybersecurity.
CVDI seeks to transform data into insights. Its goals are to:
- Develop the next-generation technologies in data science, Big Data, and analytics, including visual analytics, augmented intelligence, and decision informatics.
- Address data science and Big Data challenges facing industry and government and provide practical solutions in a broad range of market sectors.
- Work collaboratively with industry and government partners to unleash the transformative potential and associated opportunities of Big Data and data science for the benefit of society.
- Produce highly trained students with practical hands-on skills in data science and Big Data.
- Inform policymakers, government, and industry about the significance of data science and Big Data.
- University of Virginia
- University of Louisiana, Lafayette
- University of North Carolina, Charlotte
CVDI is creating a network of diverse and complementary research sites, both in the U.S. and abroad, that deliver extensive technical expertise to industrial partners and the research community. It also aims to attract high-quality student talent and produce a workforce that has the potential to benefit the local, national, and global economies.
CVDI's research focuses on synergistic aspects of complementary data science and Big Data research initiatives in the areas of analytics; data acquisition and management; and visualization and human interaction — applications to drive innovation in visual and decision informatics.
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.
Big Data platforms, knowledge organization, data fusion and integration, parallel processing of massively large datasets, and green computing.
Visualization and human-computer interaction
Interactive visualization, human-computer interaction modeling, cognitive assistance, and immersive analytics.