KNOWLEDGE DISCOVERY FROM DYNAMIC, DISPARATE DATA

Data has now become the fourth pillar of the discovery process, joining experimentation, theory, and simulations. Examples can be found in many fields of application such as healthcare, medicine, economics, science, disaster recovery, national security, and others. Today the data landscape is very rich. Data can be generated from experiments (e.g. science facilities), output from simulations (e.g. high performance computers), provided by humans (e.g. social media), or collected from sensors (e.g. satellite data). Bringing all types of disparate data to bear on a particular discovery process or mission outcome is one of the new frontiers of science and technology. In this paper, we provide an overview of our approach to putting together a knowledge discovery portfolio and provide a few recent and current examples across applications of national interest.

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