Big Dataphenomenology: Embodied Big Data

Authors

  • Karolin Eva Kappler FernUniversität in Hagen

Keywords:

Big Data, phenomenology, body, data assemblages

Abstract

Pursuing the current problem of (not) making sense of Big Data and the fruitless efforts to detect its value, the paper proposes a phenomenological view on Big Data. In a reflection on enriched, small, big, thick, and raw data, it introduces the distinction between body and embodiment (in German: Körper and Leib), following the phenomenological tradition of perception and thinking of corporeality. By this, it denunciates the missing depth and context in current (digital) data assemblages, suggesting the concept of Embodied Big Data.

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Published

2016-10-31

How to Cite

Kappler, K. E. (2016). Big Dataphenomenology: Embodied Big Data. AoIR Selected Papers of Internet Research, 6. Retrieved from https://journals.uic.edu/ojs/index.php/spir/article/view/8471

Issue

Section

Papers K