Data Analysis for Inclusive Policy

MIA and MPA Policy Skills II Core. Pre-req: Quant I (SIPA IA6500). Data is not neutral. How it is collected, categorized, and analyzed is shaped by historical, political, economic, and social forces, often reinforcing existing injustices. While policy professionals are trained in quantitative methods, there is comparatively less focus on interrogating how data itself is produced, how existing frameworks exclude certain populations, and how data can be used to either reinforce or challenge inequities.

This course introduces students to inclusive and decolonial approaches to working with data for policy research and advocacy, emphasizing critical engagement with its lifecycle—from collection to analysis to dissemination. Students will examine how statistical tools, methods, and available data can be utilized to either reinforce or dismantle barriers to opportunity and address structural injustices. Through weekly discussions, hands-on coding exercises, and a research or advocacy project sketch, students will examine a range of data sources and methodologies while developing strategies for ethical, community-centered data practices.