BD Hubs: Collaborative Proposal: South: The South Big Data Innovation Hub

BD中心促进利益相关者的区域网络，并就美国对区域和国家的重要优先事项进行全国合作。BD Hubs的活动有助于建立一个充满活力的国家数据创新生态系统。南方大数据区域创新中心是跨组织社区的核心。 它通过刺激新的活动来做到这一点，并为活动的推进提供连续性和中立的场所。 它在区域和国家数据科学优先事项的背景下工作。南方大数据区域创新中心将满足国家在数据科学方面教育新员工和再培训现有员工以及提高数据素养的关键需求。 它将通过利用其成员大学的集体专业知识来实现这一目标，创建一个资源，材料和合作的信息交换所，与行业合作培训和安置个人，协助非研究密集型大学和社区学院开发数据科学课程，并促进协作团队科学方法的研究和项目执行。南方大数据区域的最初优先领域创新中心是在数据科学网络基础设施;健康分析，以减轻健康差距，主要影响南方;地理空间测绘，评估环境危害，如洪水沿着海湾海岸;数据科学先进的材料和制造业，以整合和加强材料制造价值链;数字建模以及数据驱动的政策，为智慧城市;该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The BD Hubs foster regional networks of stakeholders and cooperate nationally on US priorities of importance to a region and to the nation. The activities of the BD Hubs contribute to a vibrant national data innovation ecosystem. The South Big Data Regional Innovation Hub nucleates community across organizations. It does this through stimulating new activities and provides continuity and a neutral place for activities to advance. It works in the context of regional and national data science priorities. The South Big Data Regional Innovation Hub will serve the critical national need to educate new, and retrain current, work-force in data science, and increase data literacy. It will achieve this by tapping into the collective expertise of its member universities, create a clearinghouse for resources, materials, and collaborations, engage with industry for training and placement of individuals, assist non-research intensive universities and community colleges develop data science curriculum, and promote collaborative team science approaches to research and project execution.The initial priority areas of the South Big Data Regional Innovation Hub are in data science cyberinfrastructure; health analytics for mitigating health disparities that largely impact the South; geospatial mapping for assessment of environmental hazards such as flooding along the Gulf coasts; data science for advanced materials and manufacturing to integrate and enhance the materials-manufacturing value chain; digital modeling as well as data-driven policies for smart cities; and education and workforce training in data science.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.