Participants will learn how to extend community science experiences by integrating math practices into data exploration. They'll use Tuva to analyze real-world data, practice creating underutilized visualizations, and consider how to apply middle and high school math in science instruction.

Community and place-based science gives students a sense of purpose as they collect data that contributes to scientific knowledge about their own communities. Too often, however, instruction ends once the data is submitted, missing an opportunity to engage students in rich mathematical and computational thinking. In this workshop, participants will explore how to take community-based science a step further. Participants will upload data from Minnesota into a free data, graphing, and statistics tool called Tuva. We’ll examine how middle school and Algebra I/II math skills can support data analysis and interpretation in the science classroom. We’ll spend time reviewing data visualizations frequently underutilized in science classrooms despite exposure to them in math class. Participants will have the opportunity to practice creating and interpreting various types of data visualizations so they are ready to help students do the same.