Brown awarded $1.5M for new Big Data tools

The good and the bad of Big Data: It’s big, it’s noisy

Eli Upfal, Fabio Vandin, and Ben Raphael, from left, are developing Big Data analytical tools that make sense of large datasets and eliminate the noise of data errors. Credit: Mike Cohea/Brown University

October 3, 2012  |  by Kevin Stacey 

As datasets expand and new generations of faster computers arrive, users urgently require more powerful algorithms to make sense of Big Data. Brown computer scientists have received a $1.5-million award from the National Science Foundation and the National Institutes of Health to conduct research on new analytical tools for Big Data.