Abstract

Collecting and analyzing giant data sets (big data) is becoming increasingly common in multiple research fields and across business sectors. Recent advances in biomedicine, national security, climate change, computational social science, and the environment were made possible by the availability of huge scientific datasets from sensors, satellites, social networks, and new analytical protocols. In addition, the increased use of model-data fusion methodologies where various data streams are combined and synthesized in modeling frameworks is generating additional terabytes of data, in variable formats, and using a variety of metadata standards However the effective and efficient usage of big data requires addressing many challenges. This talk will elaborate on these challenges as well on opportunities for research and applications of big data.

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