I anticipated a number of responses to an essay I published with The New Inquiry recently regarding the epistemologies of postmodernism and the rise of Big Data as a cultural phenomena. There were several risks here, not least the ridiculously small audience that would overlap across tech and philosophy fields. People were bound to have a problem with my formulation of postmodernism, "Big Data", or the very fact that these discourses are even related. In fact that was part of the impetus. At first glance, their similarities lay in their historical contingencies and myths. They both have a sort of ideology that accompanies them. The fundamental point of the essay was that there are epistemological parallels in the shift from modernity to postmodernity and the shift from relational SQL databases to Big Data analytics and schema-less noSQL databases along with some its larger "goals." To borrow a phrase from the tech world, Modernity wasn't built to scale.

A few central points that pull that into sharper focus are below.

"Postmodern relativism was a cultural crisis instigated by too much data, as the volume, variety, velocity, and veracity of cultural inputs expanded. The arguments about contingency that animated poststructuralism, literary theory, feminist theory, and the postcolonial were each in their own way a declaration that the way we received, stored, and analyzed data was ignorant of and insufficient for entire sections of cultural production."

"Big Data might come to be understood as Big Postmodernism: the period in which the influx of unstructured, non-teleological, non-narrative inputs ceased to destabilize the existing order but was instead finally mastered, processed by sufficiently complex, distributed, and pluralized algorithmic regime."

You can read the full piece here.

AuthorMike Pepi