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Nsf Looking For Wicked Cool Visual and Data Analysis Algorithms


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The National Science Foundation (NSF) wants to develop highly interpretive mathematical and computational algorithms and techniques to help the U.S. government and private researchers evaluate the data generated by health care, computational biology, security, and other areas. NSF wants to make it easier for law enforcement and the intelligence community to present its data in a visual format, which will require the development of new algorithms capable of representing and transforming digital data into mathematical formulations and computational models that allow for efficient and effective visualization. NSF's research effort is part of a five-year, $3 million project known as the Foundation on Data Analysis and Visual Analytics (FODAVA), which is led by the Georgia Institute of Technology, the NSF, and the Department of Homeland Security. One FODAVA program is a Georgia Tech system known as Jigsaw, which provides multiple coordinated views of large document collections to show connections between entities found within the collection. Meanwhile, the Defense Advanced Research Projects Agency says it wants to develop software capable of capturing knowledge from naturally occurring text and transforming it into the formal representations used by artificial-intelligence reasoning systems.

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