Big Data Innovation Hubs Selected for NTIS Joint Venture Partnership

joint-partners_1Partnerships called “a major milestone for the data economy”

The four Big Data Regional Innovation Hubs have been selected by the National Technical Information Service (NTIS) of the U.S. Department of Commerce to enter into a Joint Venture Partnership. Once finalized, this partnership will provide opportunities for collaborations between the Big Data Hubs and NTIS to deliver groundbreaking data projects across federal agencies.   Continue reading

A Vision For Smart and Connected Cities

Author: Deepti Kumra, South Hub Graduate Assistant

During the second South Big Data Hub Smart Cities community call, Daniel Morgan, chief data scientist for the U.S. Department of Transportation (DOT), addressed what he sees as the DOT’s biggest data challenges. The DOT is actively encouraging developers to come up with applications to improve public safety, facilitate access to transportation, and help the department better understand traffic congestion.

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The biggest challenge the DOT faces is fatal crashes. In August 2016, the Census of Fatal Crashes revealed a loss of 35,072 lives on the road, a 7.2% increase compared to 2014. Hypothesized causes for this increase in fatal crashes are an improving economy leading to more travel, climate and weather changes, alcohol involvement, attitudes towards seat belt use, and distracted driving (for example drivers texting or talking on the phone). Continue reading

Highlighting Big Data at HBCUs

The C.R.E.D.I.T. Center: Big Military Data at HBCU’s

Author: Taylor Mitchell

logocreditThe Center of excellence in Research and Education for big military Data InTelligence otherwise known as the C.R.E.D.I.T Center is Prairie View A&M University’s premiere graduate level program for the processing and effective sorting of complex data. Funded by the Department of Defense, the C.R.E.D.I.T Center is one of three centers funded by the DoD at Historically Black Colleges and Universities. It is a one-stop-shop for engaging students in Big Data education, analytics and solving complex real-time problems for the military.

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Working Group to Host Series of Demos

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The South Big Data Hub Data Sharing and Infrastructure working group has enlisted the help of members from the south region and is working in collaboration with the Midwest, West, and NE Big Data Hubs, including representatives from the National Data Service, XSEDE, DataNet Federation, and iRODS Consortium. The WG will conduct a requirements analysis of Hub spokes and members, map existing assets, schedule demos of key components for a federated system, and through a testbed, demonstrate an analysis integrating NDS Labs, XSEDE and Discovery Environment.

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Friday Webinar to Discuss Smart and Connected Cities

smart-cities-imageThe explosion of digital data means changes in how we work, play, and interact with each other and with the technologies and devices we depend on. Nowhere is that change more apparent than in the than in movement to create smart and interconnected cities.

What started as an effort to integrate multiple information and communication technologies with sensors that collect data about transportation systems, power plant usage, water supply networks, and more has evolved into a transformation of urban environments using a data infrastructure that can monitor events, troubleshoot problems, and enable a better quality of life.

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PyData Carolinas offers tools and tips for bioinformatics research

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Clarence White, PhD student at North Carolina A&T University

PyData Carolinas 2016 brought together hundreds of professionals, researchers and students interested in data analysis to discuss how best to apply Python tools to meet challenges in data management, processing, analytics and visualization.  Among the attendees was Clarence White, one of two students from North Carolina A & T who was sponsored by the South Big Data Hub to attend. The Hub was also a silver sponsor of PyData Carolinas.  Below are Clarence’s thoughts on the conference.

My name is Clarence White, a Ph.D. student in computational science and engineering at North Carolina A&T State University.  In my research, I’m working on applying machine learning methods to bioinformatics problems.  Some areas of interest to me have been beta lactamase and phosphorylation site prediction. Beta lactamase is one of the main reasons behind the development of antibiotic resistance among pathogenic bacteria, and protein phosphorylation plays an important role in a wide range of cellular processes.

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