South Hub SEEDS (Southern Engagement and Enrichment in Data Science) projects are designed to give money to PI’s to establish communities of practice, working groups, or provide a connection point between two or more communities, sectors, or solution providers to grow and scale opportunities for the Southern region.

The Data Sharing and Cyberinfrastructure Working Group is actively working in close collaboration with the South, Midwest, West, and Northeast Big Data Hubs, including representatives from the NDS, XSEDE, DataNet Federation, and iRODS Consortium to map resources, identify new collaborations, and facilitate data sharing across partners.

The Harnessing the Data Revolution Input Coordination Activity is an All Hubs/NSF activity geared to surface and gather insights, recommendations, and ideas from the community. The recommendations were used by the HDR Steering Committee in a face-to-face meeting to organize and discuss needs for a national HDR network. This initiative is a national effort led by the South Big Data Hub, but supported by the Northeast, West, and Midwest Big Data Hubs.

The COVID Information Commons serves as an open resource to explore NSF-funded research addressing the COVID-19 pandemic. This project is a nationally coordinated effort led by the Northwest Big Data Hub and supported by the South, West, and Midwest Big Data Hubs.

An open quarterly professional working group for data science educators and program leaders to discuss education and training in data science, curriculum development, training collaborations, and workforce development.

The South Big Data Innovation Hub Seed Grant program is designed to support the cross-pollinating of ideas across disciplines (data science and other domains), sectors (academia, industry, and government) and communities in order to foster ideas, data, and/or products in support the major goals and priority areas of the South Hub.

The series garnered community input into pathways for keeping data science as a discipline broadly inclusive. We gathered input from data science programs in any region across the nation, either traditional or alternative, and from a range of institution types including minority-serving institutions, community colleges, liberal arts colleges, tribal colleges, universities, and industry partners. The series consists of webinars, workshops, and programs exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused.