Computational universalism, or, Attending to relationalities at scale

The social sciences and humanities have increasingly adopted computational terminology as the organizing categories for inquiry. By organizing research around vernacular computational objects (e.g., data, algorithms, or AI) and divided worldly domains (e.g., finance, health, and governance), scholars risk obscuring the universalizing practices and ambitions of computation. These practices seek to establish new relationalities at unprecedented scales, connecting disparate domains, circulating resources across boundaries, and positioning computational interventions as universally applicable. Drawing on intellectual traditions that inspect the fixity of universalizing claims, we problematize the easy adoption of computational categories and argue that they serve as epistemic traps that naturalize the expanding reach of computational universalism. Instead of accepting the hardened categories of our interlocutors, we propose attending to the partial, effortful, and often contested work of translation and commensuration that enables computational actors to position themselves as obligatory passage points across all domains.

read the pdf doi: 10.1177/03063127251345089

Lee, Francis, and David Ribes. 2025. "Computational universalism, or, Attending to relationalities at scale." Social Studies of Science 56(3): 325-339. https://doi.org/10.1177/03063127251345089