Street Data: A Next-Generation Model for Equity, Pedagogy and School Transformation

Street data is the qualitative and experiential data that emerges at eye level and on lower frequencies when we train our brains to discern it. Street data is asset based, building on culturally responsive education by focusing on what’s right in our students, schools, and communities instead of seeking out what’s wrong. Street data embodies an ethos and a change methodology that will transform how we analyze, diagnose, and assess everything from student learning to district improvement to policy. Join us for this dynamic keynote as Shane Safir, author of the best-selling Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation (Corwin, 2021), lays out this transformational model, which will help you shift your focus from satellite-level data (test scores and other metrics) to real-time, on-the-ground stories, experiences, and artifacts.