“Breaking Down the Monolith: What is Data Disaggregation?” explains how the way in which race-based data is collected can often be overgeneralized in a way that leads to misconceptions, stereotypes, improper resource allocations, and impacts identity and culture. In honor of AANHPI heritage month, this podcast emphasizes the importance of essential details in disaggregated data to debunk misconceptions of the AAPI community and beyond. Join hosts Abby and Emma Chen with interviews from Clinton students and CACF Senior Data Policy Coordinator Lloyd Feng.