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Yvonne Lee

Join Science to Art

Creativity is required to apply science and technology in its text, in which art is a heterogeneous field, and like this art, scientific thinking base on creativity. Science proceeds for logical proof, but most of the propositions to be logically proved are based on creativity.

Neuroscience Artworks (Jenny Walsh). Photographed by Ester Segarra


The fusion of science and art has become one of the most popular topics in recent years. It is because the product produced with the fusion of emotion and reason can be thought of as a finished product that satisfies both, and the important factor of the Fourth Industrial Revolution is to be creative and connect with various fields. In this sense, I would like to talk about 'SciArt' in the context of the changing cultural trends of visual art in the era of the soft power-oriented Fourth Industrial Revolution.

The term 'Art' combines art or science technology developed through the help of science or an object based on a work of art. That is, sai art is what appears when an artist applies scientific work to the creation of art (Meyers, L., 2004). This definition implies that sai art expresses the artist's incorporation of science into the realm of art.


Tension by Katherine Gravett


Sai Art brings together two cultures of science and art. It combines them to produce art in a different way than conventional ones, especially in the fields of biotechnology, genetic engineering, neurology, and robotics (sciart.org.uk). By integrating with new fields of technology and science, such as engineering and prosthetic, it creates a variety of experimental styles of culture.


What is important in science is the objective record, in the realm of art, it is possible that the subjective sensibility fully exerted and expanded differently from the original one. If science derails the path of essence and truth and provides advocacy information, it is no longer science. Above all, when scientific information moves into the exhibition hall, we do not examine its causality, but rather see the visualized information itself.



 

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