Forty-five students from around the globe spent the last three weeks in classrooms at RENCI in Chapel Hill and at the National Center for Ecological Analysis and Synthesis (NCEAS) at the University of California, Santa Barbara, learning the software and technology skills needed for open, collaborative, and reproducible synthesis research.
With many large data sets, place is an important component. From the emergency manager looking for the best evacuation route to the historian trying to understand urban development patterns over the years, people rely on geographically referenced data to meet a variety of research, business, and government needs.
RENCI’s Geoanalytics platform provides intuitive, map-based visualizations to help transform data into decisions. Among other applications, this free, open source software has been used to inform disaster response, study the spread of disease, and increase the accessibility of public records.
CHAPEL HILL, NC and SANTA BARBARA, CA – A unique training course that will take place simultaneously on both U.S. coasts will get underway July 21 at RENCI headquarters in Chapel Hill, NC, and at the National Center for Ecological Analysis and Synthesis (NCEAS) at the University of California, Santa Barbara.
Open Science for Synthesis (OSS) is aimed at early career scientists who want to learn new software and technology skills needed for open, collaborative, and reproducible synthesis research. The three-week intensive program will run through August 8, with 45 participants who completed a competitive application process participating in the program.
CHAPEL HILL, NC – REACH NC, a Web portal that connects businesses, developers, government officials, other researchers and citizens to thousands of experts working in higher education and research institutions throughout North Carolina, now helps users find university assets and resources across the state through a new tool called the REACH NC Resource Finder. Read more
RENCI teams up with Duke University researcher to use visualization to understand disease risk factors and symptoms. The age of big data presents both great opportunities for new knowledge as well as challenges in figuring out how to interpret, organize and use such large quantities of data. Data analysis and management are especially important hurdles to overcome in medicine, where data can help physicians better understand and treat disease.
North Carolina researchers to demonstrate distributed computing as a defense against power grid cyber attacks
A nationwide team that includes researchers from the Renaissance Computing Institute at UNC Chapel Hill (RENCI) and North Carolina State University will demonstrate how innovative cyber-physical systems can be used to prevent cyber attacks on power grids as part of the SmartAmerica Challenge and Expo, June 11 in Washington, D.C. Read more
Business managers, data analytics specialists, academic researchers, data center administrators and anyone else who grapples with big data are the target audience for a weeklong workshop series on data issues sponsored by the National Consortium for Data Science (NCDS), the Odum Institute for Social Science Research at UNC Chapel Hill, and the Renaissance Computing Institute (RENCI).
As a leader in the growing and evolving field of data science, the National Consortium for Data Science (NCDS) works to share knowledge and recruit a new generation of data researchers to innovate and solve challenges in organizing and managing data.
Chapel Hill, NC, April 2, 2014 – The iRODS Consortium today announced the release of iRODS 4.0, a sustainable and production-oriented version of the integrated Rule-Oriented Data System (iRODS) data management platform.
CHAPEL HILL, NC – For patients with epilepsy and their doctors, determining the best treatment plan often involves playing “medical detective.”
Non-routine visits to the doctor often take place after the patient has endured a seizure, and patient and doctor must piece together what happened just before the seizure, its length and severity, and possible triggers in an effort to determine whether treatments or medications need to be changed. If a clinician wants to compare a patient’s latest seizure to his or her medical history or to historic data in Electronic Medical Records (EMRs), they often must wade through reams of paper to see relationships and find correlations that could lead to better treatments.