Developed by:
Christopher Rabe MIT Environmental Solutions Initiative
Lelia Hampton PhD Student, Electrical Engineering and Computer Science, MIT
For Grades: 9-12
Many high school students experience climate anxiety and often lack direction on how to address climate issues.
Schools can play a key role in alleviating this anxiety by teaching students how to take climate action and develop a sense of agency, as recommended by the K-12 Climate Action Plan. To help, this project will expand a college-level curriculum from the Environmental Solutions Initiative’s Climate Justice Instructional Toolkit 2.0, integrating machine learning and data science as tools for climate justice, to reach high school students.
Through hands-on workshops and coding activities, students will learn how to analyze local climate disparities, use data science to advocate for equitable policies, and engage with ethical considerations. The goal is to empower students to become informed citizens and active participants in democracy.