The Data Science Education and Workforce Working Group (South Hub)

Data literacy is essential to navigate the current deluge of data in almost every scientific discipline and business sector. The United States suffers from a lack of a trained workforce to meet the current demand and the emerging demands, making data science a critical element of educating students for the 21st century.


The Data Science Education and Workforce Working Group is an open monthly professional working group for data science educators and program leaders to talk and hear from other programs around the country, as well as learn about resources for connecting with data, tools, industry partners, and research.

The focus of the group is to:

1. Highlight funded Data Science education projects, programs, and resources

2. Share best-practices for project-based courses & teaching approaches

3. Provide experiences with assessment or evaluation approaches for Data Science teaching or Data Science programs.


53 members and growing.


The Education and Workforce working group has zeroed in on a plan to collect and provide practical resources and models of engagement for broadening and deepening the available pool of data-literate talent.


Sign up for the working group mailing list to learn more and just a future event – held the first Friday of every month at 11 am ET. 

Learn more about ongoing and upcoming projects, events and publications.

Our Initiatives

Launched by the National Science Foundation (NSF) in 2015 we engage communities, share resources, and build partnerships that harness the data revolution to address societal and scientific challenges.

Metro/Urban Data Science

Precision Medicine

Natural Resources & Hazards 

Big Data Technology

Advanced Materials and Manufacturing

Digital Agriculture

Smart, Connected, and Resilient Communities

Water Quality

Big Data in Health

Health and Disparities

Smart Cities and Communities

Advanced Materials and Manufacturing

Environment and Coastal Hazards

Social Cybersecurity


Education + Data Literacy

Urban to Rural Communities

Responsible Data Science: Security + Privacy Ethics

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