Developing a Common Language across Race Studies and the Digital Humanities

I would like to propose a collaborative workshop to develop a common language or vocabulary between scholars of race studies (critical race studies, postcolonial studies), computer scientists and the digital humanists. What are some common terms that we use that we think in different ways? (Modularity comes up as one.) What are some of the assumptions that we share/do not share about how cultural constructs are replicated in code, and what are its implications?

During the workshop, participants can draw up lists of common terms, explain how we all understand them, and suggest how we can use these terms to inform our digital humanities projects. How does the digital humanities change or become inflected by race studies? Issues of representation—recovery of works by people of color—are important, but what else would be relevant here? What are some theories and methodologies that a race scholar can use in projects such as topic modeling and other types of text mining; geospatial mapping projects; and issues of gamification in the classroom? What are some examples of DH projects that can be nuanced with race theory, and how can this be specifically done?

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