4319 - Intersectionality and Social Justice Policy: Leveraging Race, Gender, Class and Sexual Orientation Data

Session Submission Type: Invited Session

Description

How can we improve race, gender, class, sexual orientation and ethnic measurements for social justice policy? How can leveraging the conceptual use of intersectionality or attention to the simultaneity of race, gender, class, sexual orientation, disability, etc. as systems of inequality for data collection, analysis and praxis to advance social justice policy for vulnerable communities? Federal, state and local municipal provides the data infrastructure for engaging in what Kimberlè Crenshaw has called "mapping the margins" or making the invisible visible by identifying groups that often remain invisible race-only, gender-only and class-only analysis. It also helps us document what Patricia Hill Collins has called "the matrix of domination or the intersecting and simultaneous systems of privilege, power, inequality and the dynamics of resistance and empowerment in the lives of marginalized communities. It can also help us embrace what Leslie McCall has called "complex configurations of inequalities" across of a variety of policy-relevant arenas (e.g. voting rights, congressional redistricting, education, housing, health, employment and criminal justice). This panel is structured with brief presentations from scholars, researchers, practitioners, policy makers and the audience. The focus of the dialogue is on how we can improve the local, municipal, state and federal data infrastructure for intersectional knowledge projects and social justice policy-making. A guiding assumption of the panel is that the purpose of data collection is to advance justice and equity and expand opportunity structures.

Sub Unit

• Thematic Session

Session Organizer

• Nancy López, University of New Mexico-Albuquerque

Presider

• Nancy López, University of New Mexico-Albuquerque

Individual Presentations

• Critical Quantitative Methodologies for Justice: Embracing Complexity in Census Measurement and Analysis - Yasmiyn Irizarry, University of Texas at Austin

• Using Census Data to make the Invisible Visible: Creating Meaningful Analyses with Small Sample Sizes - Kimberly R. Huyser, University of New Mexico

• Administrative Data, Big Data, and Census Data in the Study of Intersectionality - Arthur Sakamoto, Texas A&M University

• Measuring Sexual Orientation and Gender Identity in the Federal Statistical System: Advances and Challenges to Date - Nancy Bates, U.S. Census Bureau