Big Data Research for Open Source Applications

Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. In this internship, we analyze a real-world big data set(s) to make sensible inferences by […]

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Visual Analytics for Financial Risk Year Two

The second project also relates to the application of VA to financial systemic risk analytics. The report on the NSF-funded workshop on Next-Generation Community for Financial Cyberinfrastructure for Managing Systemic Risk identifies the need to develop robust simulations and computational models in order to manage systemic risk. Many of these are in the form of […]

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