Spotlight on Bree Oatman

To start with, can you tell us in a nutshell about your Teen Café program? What's special or unique about it? STEM Savvy is unique because it is a rural program. South Dakota has less than a million people in the entire state and the nearest big city is over 6 hours away. The closest Target is 3 hours

Spotlight on Ashley Zalabak

To start with, can you tell us in a nutshell about your Teen Café program? What's special or unique about it? The South Carolina Aquarium’s Teen Science Café is an informal learning series for teens, ages 13 to 17. We host a variety of different scientists that lead hands-on activities with teens and allow them to dive deeper into STEM

Spotlight on Sharon Sessions

The Socorro County Teen Science Network includes Cafés in Socorro, Magdalena, and Alamo Navajo Reservation.  They all started as satellites based with New Mexico Tech as the backbone foundation, but are evolving independently and in response to the local needs, resources, and leadership.  We have the ability to leverage research and students in each district as well as

10 Ways TSCN’s Asset Map will Influence your Teen Science Café

The Teen Science Café Network (TSCN) is seeking adult leader participation in our network-wide survey, which is designed to gather information about adult leaders and their café sites. TSCN will use survey responses to create a visual, interactive map displaying adult leader skill sets to share & improve, technology used, and community partnerships. Future versions of the map will include

Seeking Guides for Onboarding New Members

We seek five energetic individuals with experience in leading an informal science education program to serve in the role of Guide. The Guides will share responsibility for recruiting and mentoring new member sites with support from the National Resource Center.

Spotlight on Becca Holloway

My favorite part of our program is the Teen Leadership Team there would not be a Delaware Teen Science Café without them.

Creepy Crawly Data Collection

The students practiced data visualization by graphing their findings that helped to understand sampling and non-sampling error.