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.
Overview
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.
Participants
53 members and growing.
Outcomes
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.
Engage
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.
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
Health
Education + Data Literacy
Urban to Rural Communities
Responsible Data Science: Security + Privacy Ethics