Posts Tagged data science

Modeling future climates or using genomic analysis to understand the mechanisms of cancer both require analyzing vast or very complex data, and exploiting the opportunities of “big data” is one of the biggest challenges in computing.

A lot, as it happens. Henry Kautz, chair of the computer science department, and his colleagues have shown that Twitter messages can be harnessed to predict the spread of infectious diseases, for example.

The new IBM Blue Gene/Q supercomputer unveiled last week at the University’s Health Sciences Center for Computational Innovation (HSCCI) is one of the nation’s five most powerful university-based supercomputing sites.