This workshop provides practical, theory-driven guidance on methods for studying structural oppression, with a focus on structural racism, structural sexism, and intersecting systems of inequality. Despite growing interest in this research, substantial challenges remain, including fragmented data ecosystems and limited adoption of theoretically grounded, empirically rigorous methodologies.

Workshop instructors will offer conceptual and analytical clarity, showcasing diverse data sources on structural oppression, with guidance on accessing, linking, and analyzing these data. The workshop will also highlight best practices for the scientific study of structural oppression by operationalizing structural oppression in ways that reflect its multifaceted, multilevel, and systemic nature, alongside its other core dimensions, including relational power dynamics, institutionalized structures, sociohistorical contexts, oppressive schemas and logics, the roles of specific actors, the inactions and omissions that sustain these systems, and intersections among forms of oppression.

Workshop Format:

Morning Sessions: Interactive lectures on cutting-edge methodological approaches, with real-world examples.

Afternoon Sessions: Hands-on exercises and individualized consultations to support participants' research interests. These sessions will feature practical examples and applications, primarily using STATA and R, to demonstrate key methodological techniques and best practices in data analysis, measurement, and modeling of structural oppression.

Prerequisites: This workshop is particularly suited for early-career scholars, though all researchers are welcome. Participants should bring their own laptops.

Application: Enrollment is limited to 25 participants. To apply for this workshop, select the "Registration" link on this event page, fill out the Summer Program registration form, select this workshop, and then upload the following application materials:

- Current curriculum vitae
- Cover letter summarizing research interest in this course and related research experiences

Application Deadline: May 26, 2025

Registration Fee: There is no registration fee for accepted participants.