Analyze

Drawing on a long career as a Black critical health equity researcher, Bowleg quotes Black feminist Audre Lorde in arguing that the “master’s tools”—in order words, conventional theories and methods—"will never dismantle the master’s house”—intersectional structures of oppression from which health inequities are produced. Bowleg elaborates by explaining that conventional theories and methods “valorize almost exclusively individualistic and social cognitive approaches (Cochran & Mays, 1993; Weber & Parra-Medina, 2003); ignore the foundational roots of structural and intersectional inequality (Bowleg, 2012, 2020); center White, Western, cisgender male, middle-class, and heterosexual people and their experiences as normative (Henrich et al., 2010); prioritize amelioration, not transformation (Fox et al., 2009a); and view Black people primarily through the lens of deficit or pathology” (237).

Thus Bowleg offers 10 critical lessons for Black and other health equity researchers of color that she links with system and structural-level strategies. Bowleg also cautions that these lessons are risky and could damage one’s academic career—but that it is exactly this kind of risk that is necessary for change. Among these include: embrace critical perspectives, embrace a critical qualitative stance, learn research paradigms (e.g. positivist paradigm = a master’s tool, must learn to counter), foster community-based partnerships and collaborations, and highlight black communities’ strengths, assets, and acts of resistance. Bowledge also encourages researchers to “tell it like it is”: “Epistemological ignorance is one of the master’s most formidable tools. Epistemologies of ignorance refer to the examination of different types of ignorance and their production, maintenance, and functions (Sullivan & Tuana, 2007)” (239). Here, Bowleg emphasizes the importance of language by discussing how it can alternatively reveal or obscure structures of oppression as well as it shapes the nature of research.

What data platforms are windows into data culture and politics in this setting?

What could one learn about Baltimore through a close analysis of the "Boston Tree Inventory" or through close work with CalEnviroScreen (noticing what gets pulled into visibility and what remains off-screen)? 

What kind of data infrastructures are imagined as needed n this setting and for what historical and contemporary reasons? In Austin, for example, energy transition actors have worked to establish energy data infrastructure that is separate from established data infrastructures supported by power companies, etc. 

What ideals are data collected to protect or to contest?