Southern Region and Communities

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SOUTHERN REGION & COMMUNITY OVERVIEW

The South Hub pursues community input to create positive impacts on people and their communities. The solicitation of community input has led to the development of inclusive programming, expansion of data science education, and society-improving projects.

 

IMPACT

  • 150 virtual and in-person events that have attracted over 5,400 participants
  • 200+ All hands Meeting attendees
  • 6 South Hub supported multidisciplinary Spoke projects
  • 6 seed grants provided by the S.E.E.D.S Program totally $250,000
  • Over $6 Million in multidisciplinary Spoke projects

 

VIEW MORE ABOUT OUR WORK WITH THE SOUTHERN REGION & COMMUNITY

The vision of this project is that communities occupying low-lying coastal areas of the southern US will be protected and develop in a sustainable manner through planning based on knowledge, conservation, and wise use of sensitive lands. Researchers from the University of South Florida’s College of Marine Science and the School of Geosciences at Texas A&M University – Corpus Christi, along with Google Earth Engine are collaborating with the South Big Data Hub through this project to develop more accurate, ultra-high resolution topographic, land cover, and urban environment geospatial products. The project examines in detail areas that were directly impacted by Hurricanes Harvey and Irma in 2017, and identifies flood-prone areas across the region.
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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.
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The South Big Data Hub Roundtable held on January 11 in Chapel Hill, NC, provided an open discussion forum with a focus on Translational Data Analytics for Environmental Health.
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The South Big Data Hub is one of four regional big data hub partners awarded a $1.8 million grant from the National Science Foundation (NSF) for the initial development of a data storage network over the next two years. A collaborative team will combine their expertise, facilities, and research challenges to develop the Open Storage Network (OSN). The OSN will enable academic researchers across the nation to work with and share their data more efficiently than ever before, according to the NSF announcement. 
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Data Education--Inclusivity is the Word
As organizational and societal decisions become more data-driven academic institutions, industry, and government officials continuously identify data literacy as an important skillset for individuals currently in and entering the workforce.  Unfortunately, a dearth of qualified data literate employees exists producing a need for effective data science education and training for undergraduates.  The National Academies of Sciences (NAS) formed a study committee to consider the core principles and skills undergraduates should learn and the pedagogical issues that must be addressed to build effective data science education programs.
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Krystal Geo
The proliferation of mobile devices and low-cost sensors has enabled citizens to collect timely geospatial information and contribute to scientific research and fieldwork that addresses locally relevant, global environmental issues, including disaster management, food security, and climate change. This collaborative exchange, in which citizens as well as scientists and policymakers, actively participate in the creation of new scientific knowledge, is called citizen science to contribute, together with scientists and policymakers, to address locally relevant, global environmental issues, including disaster management, food security, and climate change. This collaborative exchange, in which citizens are active participants in the co-creation of new scientific knowledge, is known as Citizen Science. If you missed the citizen science workshop or want to review the content that was presented there, SWF has posted the workshop agenda, video and links to the slides of presenters.
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Hub Group
Keeping Data Science Broad in-person workshop explored the Data Divide by convening stakeholders from teaching institutions, community colleges, tribal colleges, and minority-serving institutions to discuss challenges related to capacity building and capability. Specific issues discussed included access to data, critical thinking, designing curriculum and assessment, data literacy, diversity, ethics, resources and staffing, building collaborations, and the pipeline to higher education from K-12. Recent education-enabling projects were showcased at the event.
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Wendy Nilsen
Each day countless devices—from monitors in hospitals to diagnostic tests to Fitbits—capture huge amounts of health data. That data could change how patients and doctors interact, how diseases are diagnosed and treated, and the amount of control individuals have over their health outcomes.
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Workshop part of its Keeping Data Science Broad: Bridging the Data Divide series. Each webinar highlighted programs and experiences in data science education as well as some of the challenges involved in creating and implementing educational programs in a field that is still very new and in the process of being defined.
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Mobile Health Workshop sparks ideas for future research
Participant recap of the mHealth Workshop, held in Chapel Hill, NC in May 2017. The workshop was supported by the South Big Data Hub and the National Consortium for Data Science (NCDS). Wenbin Zhang is a first-year PhD student in the department of information systems at the University of Maryland, Baltimore County. He attended the South Big Data Hub/NCDS Mobile Health Workshop in May with travel support from the South Hub.
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