Today’s National Science Foundation (NSF) Science Nation features the work of Amy McGovern, an Associate Professor of Computer Science and Adjunct Associate Professor of Meteorology at the University of Oklahoma, whose data mining and predictive modeling approaches are transforming the way we predict tornadoes. According to the article: Tornadoes claim hundreds of lives and cause billions of dollars in damages in the United States. But the tornado outbreak across the South on April 27, 2011, was startling, even for veteran forecasters such as Greg Carbin at the National Oceanic and Atmospheric Administration (NOAA) Storm Prediction Center (SPC) in Norman, Okla.   “Through the 24-hour loop here, almost 200 tornadoes had occurred in […]

We’ve previously described in this space the Materials Genome Initiative (MGI) — a $100 million initiative announced last June to drastically accelerate the discovery, development, and manufacturing of new and advanced materials — describing the critical role to be played by the computer and information sciences and engineering research community, including via predictive modeling, simulation, and visualization capabilities. Now there’s an interesting news focus (subscription required) in this week’s Science, noting, “Supercomputing power now makes it possible to compute the properties of thousands of crystalline materials in a flash and is expected to guide experimentalists where to search for the next best things.” According to the article (following the link):