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

BD中心培育了区域利益相关者网络，并在美国对一个地区和国家至关重要的优先事项上在全国范围内进行合作。BD中心的活动为充满活力的国家数据创新生态系统做出了贡献。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，并为活动的发展提供了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开展工作。南方大数据区域创新中心将服务于培养和再培训现有数据科学劳动力和提高数据素养的关键国家需求。它将通过以下方式实现这一目标：利用其成员大学的集体专长，创建资源、材料和合作的交流中心，与业界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进行研究和项目执行。南方大数据区域创新中心最初的优先领域是数据科学网络基础设施；用于缓解主要影响南方的健康差距的健康分析；用于评估环境危害(如墨西哥湾沿岸洪水)的地理空间制图；用于先进材料和制造的数据科学，以整合和增强材料制造价值链；数字建模以及智能城市的数据驱动政策；以及数据科学方面的教育和劳动力培训。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.