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Hyoju Sabina Ahn

Parasitic signals - Transformation of interaction between humans and pathogens

Beginn des PhD-Programms / Start of the PhD-Program: WS 2018

Betreuung / Supervision:
Martin Kaltenbrunner

The aim of this research is to analyse the interaction between parasite and human, and to create a multi-perceptional transformation of the data within artistic frameworks based on scientific techniques in the bioscience domain. The fundamental questions that will be answered are: how can these relationships be aesthetically represented as an interactive performative installation. How can the experience be related to the human sensory perception in reference to cultural and societal values. By using such high technology like the Atomic Force Microscopy (AFM), which practically can touch a single molecule to scan or to measure the binding force between two different biomolecules. The experiment and investigation on the interaction between the parasite (Borrelia bacteria) and the human extracellular environment (protein molecules) will be focused into a direct physical contact. Consequentially, the artistic representation will consider the physical nature of our perceptions such as materiality, tactile perception, auditory perception, and multi-sensory transformation.

Kurz-Biographie / Short Bio
Sabina Hyoju Ahn is an artist who works with various medium, sound and organic matters. Her research area is involved with finding hidden rules and patterns in natural elements and translating it into different shapes of perceptual experiences. She has broadened her artistic spectrum in South Korea and Europe and currently she is a Ph.D. candidate in Tangible Music Lab at Kunstuniversität Linz. Her works have been shown in various places including Piksel festival (NO), Transmediale Vorspiel (DE), Mediamatic (NL), Athens Digital Arts Festival (GR), AMRO (AT), Lab 30 (DE), Art Center Nabi (KR), ACT Festival (KR), Daechung Chungjoo City Museum of Art, V2 (NL) and she has been awarded NIME (New Interface for Musical Expression 2017) Best Sound Performance.

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"The data transformation process of parasitic signals" © Sabina Hyoju Ahn