Applications are now being accepted for Blue Waters Graduate Fellowships and Undergraduate Internships.  Blue Waters is a truly extraordinary supercomputer used by researchers across the country to gain new understanding of how viruses attack our bodies, the formation of galaxies and of severe storms, space weather, sub-atomic physics, and other challenging topics. Blue Waters was designed to handle the most compute-intensive, memory-intensive, and data-intensive challenges in computational science and engineering. Blue Waters Graduate Fellowship Program The Blue Waters Graduate Fellowship Program lets graduate students from across the country immerse themselves in a year of focused high-performance computing (HPC) and data-intensive research using the Blue Waters supercomputer to accelerate their research. […]

As a result of the CCC / CRA Industry Academic Survey, conducted in spring of 2015 and the CCC Industry Roundtable Discussion held on July 24, 2015, the CCC partnered with the four NSF-sponsored Big Data Regional Innovation Hubs (BD Hubs) for a program on industry-academic collaboration. Each Hub is charged with addressing regional specific big data challenges. Areas of emphasis for the South BD hub include coastal hazards, industrial big data, and health analytics, among others. As one of its CCC-sponsored activities, the South BD Hub ran the DataStart internship program, which paired graduate students from the South Regional Innovation Hub with data-related startup companies for three months. The […]

The South Big Data Hub links talented students with tech startups through a DataStart program, which provides real-world experiences for students while helping entrepreneurial companies. Graduate students from six universities in the southern U.S. will spend the summer working on data challenges important to the success of new and growing technology companies thanks to a new program called the Southern Startup Internship Program in Data Science (DataStart). Through DataStart, interns will have the opportunity to address a wide range of data-related business problems in a professional setting, including spotting trends in the diversity of people included in clinical trials, developing methods for using sensor data to detect loads on wind turbines, […]