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Activity Number:
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334
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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International Indian Statistical Association
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| Abstract - #305907 |
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Title:
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Big Data: Research and Training Challenges
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Author(s):
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Nandini Kannan*+ and Brian Weaver*+ and Emmanuel Yashchin *+ and Deborah A. Nolan*+ and Richard De Veaux*+ and James L Rosenberger*+
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Companies:
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Los Alamos National Laboratory and The University of Texas at San Antonio and IBM and University of California at Berkeley and Williams College and Penn State University
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Address:
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Department of Management Science and Statistics, San Antonio, TX, , USA , , , IBM TJ Watson Research Ctr , Yorktown Heights , NY, 10598 , Dept of Statistics, Berkeley , CA, 94720-3860, Department of Math & Stats, Williamstown, MA, 01267, 326 Thomas Building, University Park, PA, 16802-2111,
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Keywords:
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big data ;
computational tools ;
curriculum development
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Abstract:
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This panel explores the role of the statistical and computational sciences in visualizing and analyzing massive, complex data. In a recent article, the Economist refers to the "Data Deluge" and the effects of this influx of information on science, business, and government. Examples of big data are found in diverse fields including astronomy, finance, social networks, and medicine.
With this explosion in the availability of information, faster and more efficient tools are needed to extract meaningful patterns from data. The emphases on improved tools for visualizing and analyzing data and development of efficient simulation algorithms pose a significant challenge to the Statistics community. This panel will bring together leaders from academia, industry, and government to address these challenges. The panel will also discuss education and training issues including the development of new courses and/or curricula.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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