Your help could further MMSA’s vision of a brighter STEM future for the State of Maine and the nation. Today, I ask you to support MMSA and become a part of the movement to support exciting new ways for our youth to learn about science, technology, engineering, and math.
FREE 2-week Digital Storytelling Intensive
(Aug 6-17)
8:30am-3:30pm
for girls ages 12-16
at Waterfall Arts -256 High St., Belfast
Program is currently full but we are taking waitlist applications.
Sign up Here for Digital Storytelling Intensive Waitlist
The summer intensive launches a brand new digital storytelling club for girls that will be available from Sept – December. Work with other girls and community members to create your own interactive digital stories, communicating topics that are important to you and your community. Plan a Showcase to present your work, and explore more ways to connect to a larger network of creators.
School-year Digital Storytelling Club
Unleash your creative moxie! This brand new Digital Storytelling club for girls will continue to meet weekly via phone or video conference after the summer workshop (with one face-to-face meeting per month,) from Sept – early December. During the fall the AR Girls will share their digital stories with the community during the Waterfall Arts Open House and AR Girls Showcase in October. We will continue to meet until early December to connect with other creative partners in our community. Work with other girls and community members to tell stories, using your expertise in the arts, about things that are important to you & your community!
FREE! No previous experience required!
All Girls ages 12-16 are welcome!
Share this great opportunity with a girl you know!
No experience required! The AR Girls program is FUN and FREE!
Hang Out – Make Media Art – Design Digital Stories
*Free, with all materials and meals provided*
Please note spaces are limited.
A Creative Collaboration between:
the University of Maryland’s Center for Environmental Sciences, Harvard University, Oregon State University, and University of Wisconsin Madison
Project Funders
This project is funded by the National Science Foundation, grant #1657217. Any opinions, findings and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
