Communications of the ACM
$3.1 Million Grant to Build New Data Exploration Software
Brown University computer scientists will use a $3.1-million grant from the U.S. Defense Advanced Research Projects Agency to build an interactive data exploration system that includes statistical safeguards against false discoveries.
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Researchers at Brown University will use a $3.1-million U.S. Defense Advanced Research Projects Agency grant to develop software that brings statistical rigor to interactive data exploration.
"The goal is to build a user-friendly system that can easily explore data and produce useful visualizations, but also continuously controls for the statistical validity of the results," says Brown professor Eli Upfal.
The team wants to create a system that continuously monitors the questions researchers ask in the process of exploring data, and warns them when the statistics do not back up the hypotheses. They say this should help researchers, especially those who lack statistics training, to avoid making false discoveries.
The project will be part of Brown's recently launched Data Science Initiative, whose goal is to develop novel approaches to dealing with data.
"We want to promote data science and see it be successful," Upfal says.
From Brown University
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