Oksana Chepelyk

Oksana Chepelyk's research project at the Institute for advanced Study of Aix-Marseille University (IMERA) pursues eco-art and science-art projects within a broad experimentation at the crossroads of research and art practice, such as data-driven moving imagery, sonification, live cinema and data visualization in spatial structure, and modelling. This work derives from Oksana Chepelyk's former residency at IMERA.

Oksana Chepelyk’s approach in realization of the project consists of the methodical theoretical search using library, archival research, interviews, video documentation іnvestigating: (i) neomateriality and post-digital aesthetics; (ii) data visualization and immersive environments; (iii) techno-ecological perspective.

The science-art will be researched as a contemporary art trend with focus on sonification and visual representation of scientific data of metabolomics. Historical reference from Varese and Xenakis’ approach in the musical tradition, from Leonardo to Xenakis in the visual direction toward our time with the help of AI machine learning technology will be taken as a starting point of research.

Using characteristics of NMR - Nuclear Magnetic Resonance spectroscopy and mass spectrometry methodology a different spin on NMR the project could approach audio-visual representation, but the technique doesn’t make most chemists think of music, or colors.
Molecular Sonification, namely the encoding of molecules as music, is particularly intriguing since the multiple dimensions of music can allow encoding of many molecular properties.

An explosion of AI methods in the study and creation leads to the prospects of merging modern chemistry machine learning (ML) techniques with recent ML techniques for visual and ML techniques for music.

In this project Oksana Chepelyk will introduce a few aspects of the complex research and field work thatshe tries to contribute to, placing interdisciplinarity at the service of ecological and environmental purposes. As it also refers to a purely scientific combination of experimental ecology and next-generation -omics technologies (including genomics, epigenomics, transcriptomics and metabolomics) that represent an unprecedented opportunity to characterize the patterns of local adaptation and phenotypic plasticity in natural systems and, ultimately, to understand the complex relationships between phenotype, genotype and environment in the context of climate change. In the face of climate change, Chepelyk's approach to this research using sonography and translation of complex biochemical events into visual liquid AI summoning elements will serve as an argument for fundamental knowledge, but it will also provide information for the sustainable management of our vulnerable ecosystems.