Data Science Education and Workforce

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The South Hub fosters data literacy and build up the capacity of academic institutions to teach data science. Broaden the base of workforce trained in data science.

 

South Big Data Hub links talented students with tech startups through DataStart program

DataStart 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 program called the Southern Startup Internship Program in Data Science (DataStart). DataStart interns will address a wide range of data-related business problems, including spotting trends in the diversity of people included in clinical trials, developing methods for using sensor data to detect loads on wind turbines, and the challenges of cleansing and standardizing data to extract more knowledge from it.

Online Training with STIPEND SUPPORT Opportunity: 'Big Data + High-Performance Computing + Atmospheric Sciences'

Funded as an NSF grant to train graduate students, post-docs, and junior faculty on “Big Data + High-Performance Computing + Atmospheric Sciences”, our training program is a new NSF-funded initiative in big data applied to atmospheric sciences and using high-performance computing as a vital tool.

South Hub Sponsors Data Science for Social Good Summer Program 2017

South Big Data Hub is partnering with Data Science for Social Good- Atlanta to bring nine graduate students from various southern states to participate in a ten-week paid internship experience.

Strategies for hiring and maintaining a diverse data scientists workforce

Successful workforce diversity efforts don’t stop with hiring people of different ages, races, genders, and sexual orientations. View this post for tips for building a strong and diverse data science workforce.

Highlighting Big Data at HBCUs

It is a one-stop-shop for engaging students in Big Data education, analytics and solving complex real-time problems for the military.

South Hub Sponsors Data Science for Social Good Summer Program 2017

The Data Science for Social Good- Atlanta (DSSG-ATL) program brought together nine graduate students from various southern states to participate in a ten-week paid internship experience. The program has engaged student interns with diverse academic backgrounds including computer science, statistics, digital media, public policy, civil engineering, industrial engineering and urban planning, as well as diverse demographic backgrounds including underrepresented groups. View the post to learn more about the program and the student projects.

New Report Looks at Strategies for Building a Data Economy

The report, NC in the Next Tech Tsumani: Navigating the Data Economy, says North Carolina has the raw assets to build a world-class data economy, including top-tier universities and thriving business sectors in technology, life sciences and finance.  Data science is not just for technology companies either, according to the report. In North Carolina companies as varied as R. J. Reynolds Tobacco, Norfolk Southern Railroad, and General Electric use data for insights into customers, products, and operations. View the post to learn more about recommendations for building a data economy.

BREAKING: DataUp – Keeping Data Science Broad Recipients Announced

The 2018 DataUp program includes seven institutions from Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions (HSIs), and other minority-serving institutions (MSIs), community colleges, and primarily teaching-focused institutions. Institutions will receive a 2-day data science workshop on their respective campuses and travel funding for an in-person ‘train-the-trainers’ workshop in Atlanta, GA to prepare teams to teach regional data science workshops. 

Save the date for South Big Data Hub All Hands meeting

The meeting will include presentations on current Spoke projects, a fireside chat on collaborations in data science, as well as breakout sessions for future Spoke proposals.

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