Public libraries are hubs for lifelong learning, especially in small and rural communities that may not have easy access to the scientific and academic centers in more urban locations.
The STAR Net STEAM Equity Project helps public library workers in small and rural communities offer outstanding, culturally responsive STEAM (Science, Technology, Engineering, Arts and Math) programming and exhibitions for their patrons, especially often-underreached Latino populations.
Twelve libraries, selected through a competitive and peer-reviewed application process, will each receive $15,000 over four years to participate in professional development activities, support community collaborations and purchase STEAM learning materials.
Please select from the following options:
- Partner Libraries list
- STEAM Equity Site Support Notebook (for Partner Libraries)
- Project guidelines
- Frequently asked questions (FAQs)
- Project advisors
The project is offered by the Space Science Institute's National Center for Interactive Learning (NCIL/SSI), the American Library Association (ALA), Twin Cities PBS (TPT), Institute for Learning Innovation (ILI) and Education Development Center (EDC). It is generously funded through the National Science Foundation. This project builds on the STAR Library Network, or STAR Net (where “STAR” stands for Science-Technology Activities and Resources).
STEAM programming resources
- "Closing the Gender Gap: Developing Gender Equitable STEAM Programs" (webinar)
- "Culturally Responsive STEAM Programming: Engaging Latinx Communities in Rural Areas" (webinar)
- "3 Must-Have STEM Gadgets for Your Makerspace" (Programming Librarian, June 9, 2020)
- "What I Tell People When They Ask about Latinx Engagement" (Programming Librarian, May 28, 2020)
- "Fighting 'COVID Slide': STEM Activities for Kids to Do at Home" (Programming Librarian, May 19, 2020)
To be notified about future grants and opportunities from ALA's Public Programs Office, sign up for ALA’s Programming Librarian newsletter.
This material is based upon work supported by the National Science Foundation under Grant Numbers DRL-1906172 and DRL-1906084. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.