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MOTHEREARTH_Climate Change AI Data Painting_Sculpture /
ART SCIENCE MUSEUM_Singapore
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STATEMENT
We strive to question the truths behind today’s most accepted beliefs in science, technology, artificial intelligence, and natural phenomena. Therefore, Mother Earth is not just an installation but also a data-driven mirror of the city and its inhabitants that is created using data to paint various aspects of life in Singapore. Different sets of environmental data such as air quality, CO2 transmissions, and climate change from the last 40 years of Singapore's data are translated onto the face of the ArtScience Museum.
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STATEMENT
In order to Ai, we used the thousands of data that belong to Singapore's climate change environmental data such as air quality, CO2 transmission, etc. In the data painting part, all the datasets are used directly to create scientific visualization with an artistic approach to emphasize the interconnectedness of the datasets. In the AI data painting part, the data is used to form particles’ characteristics. Those characteristics are particles’ sizes, emission locations and amounts, birth and death times, motion paths, and color information. This characteristics creation process is an experiential process in the manner of finding the best form with the information that comes from the data and the AI results
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STATEMENT
As Ouchhh studio, we present cold data as an art form by combining scientific creativity and visual creativity on the same canvas. The message we want to convey is to make a meaningful connection between Mother Earth and people's hearts. MOTHEREARTH artwork helps us rethink what the world is trying to tell us.
We tried to build a new type of response to what many see as an existential problem in an artistic way.
Data as a paint, algorithm as a brush.
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~Process/Scientific Data Journey of MOTHEREARTH
AI SCIENTIFIC DATA SCULPTURE PROCESS
we used the thousands of data that belong to Singapore's climate change environmental data such as air quality, CO2 transmission, etc. In the data painting part, all the datasets are used directly to create scientific visualization with an artistic approach to emphasize the interconnectedness of the datasets. In the AI data painting part, the data is used to form particles’ characteristics. Those characteristics are particles’ sizes, emission locations and amounts, birth and death times, motion paths, and color information. This characteristics creation process is an experiential process in the manner of finding the best form with the information that comes from the data and the AI results.
