First Southern Data Science Conference comes to Atlanta April 7

atlanta

Register now at www.southerndatascience.com

The data science community and members of the South Big Data Hub should mark their calendars for the very first Southern Data Science Conference, to be held on April 7 at the Hyatt Regency Atlanta Perimeter at Villa Christina. The conference is expected to attract data science thought leaders from around the southeast and the nation and will feature speakers from innovative companies and research laboratories, such as Google, Microsoft, AT&T, NASA, Glassdoor and Groupon. Continue reading

Report says data science education pays off in rewarding careers

data-careersEarning a college degree takes more than time and effort—it requires a significant financial investment. With college costs on the rise, how can a prospective student ensure he or she gets the best bang for their education bucks?

According to a report from Thrivent Mutual Funds highlighted in a recent edition of Forbes magazine, choosing a major that can translate into a data science career is one way to ensure that your career earning power will allow you to pay off those student loans quickly. The Thrivent Mutual Funds 100 Best Careers in America categorizes jobs by the amount of education needed to land a job in a field: an associate’s degree or certification, a four-year degree, or an advanced degree.   Continue reading

Experian solicits input from Big Data Hubs Community

Experian is soliciting input from the Big Data Innovation Hubs regarding our community’s data needs. To support academic research and new use cases that may involve industry, Experian has shared information on data sets they maintain, including the following:

If these data sets may be of use to your research and/or you would like more information, please send inquiries and comments to ken2115@columbia.edu and also cc info@southbdhub.org

PEPI Builds Bridges Between Industry and Researchers

The South Big Data Hub’s Program to Empower Partnerships with Industry (PEPI) pairs early career faculty and researchers throughout the South with Industry Partners and support their travel to make collaboration possible. The program is co-sponsored by the National Science Foundation (NSF), the Computing Community Consortium (CCC), UnitedHealthCare Group and McKesson Corporation. Through PEPI, the South Hub provided funding to support data-intensive fellowships with industry for early career faculty, research scientists, and postdocs. Each award provided the recipient with up to $15,000 of travel and salary support to pay for their full-time effort for 2 – 5 weeks working at the company site.

The 2016 PEPI Fellows and companies were:  Continue reading

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.

preventing-car-crashes-with-big-data-analytics
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

cyberinfrastructure

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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