Community Science Data Talks are short 10-15 minute classroom conversations prompted by local data and data visualizations, similar to a number talk or a notice and wonder activity. In such, students will begin with data visualizations and add lenses to examine their place, such as historical (e.g. policy of "redlining"), ecological (e.g. amount of tree canopy cover), socioeconomic (e.g. rental burden), personal (e.g. photographs they take). Throughout a Community Science Data Talk, students are positioned as the most knowledgeable agents about their communities and, by experiencing multiple data talks over time, the accumulation of multiple lenses on the same place should support students in making sense of how these places come to be over time and promote discussions about how science and math can help them understand, advocate for, and appreciate the places they live. We will share lessons learned from piloting these data talks with teachers in multiple countries and contexts.
You will takeaway specific teaching tools including a description of the thinking behind a Community Science Data Talk, a how-to planning and implementation guide, and ideas for how to navigate student emotions towards collective actions around local environmental impacts.
Imogen Herrick (Assistant Professor of STEM Education: , CA), Michael Lawson (Teaching Assistant Professor)