RENCI’s Clark Jeffries and Dr. Diana Perkins of the UNC School of Medicine’s psychiatry department talk about their research that examines the genetic basis of schizophrenia in a Radio In Vivo interview.
CHAPEL HILL, NC – Sharlini Sankaran, formerly assistant director of the NC Department of Commerce Office of Science and Technology, has been named the first executive director of the Research, Engagement, and Capabilities Hub of North Carolina, or REACH NC. Read more
SEATTLE, Nov. 9, 2011 – The RENCI/North Carolina booth (#2942) will be one of several on the SC11 show floor to participate in a demonstration that will connect booths in the Washington State Convention Center with large data sets in the U.S. and Europe, creating a distributed, high-speed international data grid that allows researchers to share, store and manage large data sets. Read more
RENCI and its North Carolina partners at Duke and NC State universities will feature their work in an exhibit at SC11, the world’s premier conference for high performance computing, networking, storage and analysis, Nov. 14 – 17. Read more
SEATTLE, Nov. 1, 2011–Scientists studying data or compute-intensive problems require high bandwidth and computational resources, often from heterogeneous systems at different sites.
But they don’t need these resources all the time.
Ideally, a scientist studying the properties of new materials for producing solar energy, for example, would be able to grab a “slice” of a high-bandwidth pipeline, set their workflow in motion, grab compute resources in the cloud and then release those resources, so they could be used by other researchers in different configurations. Read more
Understanding data often requires understanding the geography associated with it.
Hurricane and storm surge models mean little unless tied to a specific location. Trends in diseases and public health can be spotted and analyzed by comparing data from different counties, regions or states. Read more
Story by Nancy Foltz
ASHEVILLE, NC—Experts from American institutions known for their pioneering efforts in Earth systems research, education and evaluation have come together to turn economic literacy education on its ear, and RENCI is part of the effort.
The new initiative known as the Worldviews Network seeks to create innovative approaches for engaging the American public in dialogues about human-induced global changes. Using immersive visualization within the nation’s 600 planetariums and other domed settings to enhance the visual experience, the Worldviews partners are creating tools and techniques for science educators that will help audiences visualize, comprehend and address complex issues from whole-systems perspectives. The goal is to illustrate how large-scale global processes such as biodiversity loss, climate change and ocean acidification relate to the places where we live by customizing content for issues of regional importance. Read more
CHAPEL HILL, NC, Sept. 28, 2011–The National Science Foundation has funded the University of North Carolina at Chapel Hill to lead a multi-institutional team that will build and deploy a prototype national data management infrastructure that addresses some of the key data challenges facing scientific researchers in the digital age.
The infrastructure will support collaborative multidisciplinary research through shared collections, data publication within digital libraries and reference collections within persistent archives.
The NSF awarded nearly $8 million over five years to the DataNet Federation Consortium (DFC), a group that spans seven universities. The DFC will address the data management needs of six science and engineering disciplines: oceanography, hydrology, engineering design, plant biology, cognitive science, and social science. About half the award will support research and development at UNC-Chapel Hill. Read more
CHAPEL HILL, NC–High performance computing (HPC) researchers at the Renaissance Computing Institute at UNC Chapel Hill (RENCI) will collaborate in a nationwide research effort designed to ensure that scientists will be able to take full advantage of some of the world’s largest computing systems at U.S. Department of Energy laboratories.