Dataremix: Aesthetic Experiences of Big Data and Data Abstraction

This PhD by published work expands on the contribution to knowledge in two recent large-scale transdisciplinary artistic research projects: ATLAS in silico and INSTRUMENT | One Antarctic Night and their exhibited and published outputs. The thesis reflects upon this practice-based artistic research t...

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Bibliographic Details
Main Author: West, Ruth
Format: Doctoral or Postdoctoral Thesis
Language:unknown
Published: University of Westminster 2021
Subjects:
Online Access:https://westminsterresearch.westminster.ac.uk/item/vq9zx/dataremix-aesthetic-experiences-of-big-data-and-data-abstraction
https://westminsterresearch.westminster.ac.uk/download/2ad8bc10a8691bec0f4ebd2a1b312ff8ffa48da2005ca768307ea7ad1a53aa3e/12119275/West%20Phd%20By%20Publication%20-%20VRE%20Graduate%20Registry%20Submission.pdf
https://westminsterresearch.westminster.ac.uk/download/05f06183bd6e7366c3d903a591f82ca3408876ecb9ca59adf579a20b640599ca/36716/West%20Volume%202%20URL%20Phd%20By%20Publication%20-%20VRE%20Graduate%20Registry%20Submission.pdf
https://doi.org/10.34737/vq9zx
Description
Summary:This PhD by published work expands on the contribution to knowledge in two recent large-scale transdisciplinary artistic research projects: ATLAS in silico and INSTRUMENT | One Antarctic Night and their exhibited and published outputs. The thesis reflects upon this practice-based artistic research that interrogates data abstraction: the digitization, datafication and abstraction of culture and nature, as vast and abstract digital data. The research is situated in digital arts practices that engage a combination of big (scientific) data as artistic material, embodied interaction in virtual environments, and poetic recombination. A transdisciplinary and collaborative artistic practice, x-resonance, provides a framework for the hybrid processes, outcomes, and contributions to knowledge from the research. These are purposefully and productively situated at the objective | subjective interface, have potential to convey multiple meanings simultaneously to a variety of audiences and resist disciplinary definition. In the course of the research, a novel methodology emerges, dataremix, which is employed and iteratively evolved through artistic practice to address the research questions: 1) How can a visceral and poetic experience of data abstraction be created? and 2) How would one go about generating an artistically-informed (scientific) discovery? Several interconnected contributions to knowledge arise through the first research question: creation of representational elements for artistic visualization of big (scientific) data that includes four new forms (genomic calligraphy, algorithmic objects as natural specimens, scalable auditory data signatures, and signal objects); an aesthetic of slowness that contributes an extension to the operative forces in Jevbratt’s inverted sublime of looking down and in to also include looking fast and slow; an extension of Corby’s objective and subjective image consisting of “informational and aesthetic components” to novel virtual environments created from big 3 (scientific) data ...