Highlighting works that affect environmental data using tools and techniques to transcribe this data into expressive artworks using Arduino, Raspberry Pi and MaxMSP.
Environmental Data is often an abstract concept, detached from the complexities of the space or situation it describes. Using citizen science, coding and making, Michael creates narratives for environment data that produce an emotional and relatable dimension. Working with a variety of coding languages, data is brought to life through performance and interactive sculptures. Michael will give an overview of his practice, focusing on works that involve environmental data and will highlight some tools and techniques he uses to transcribe this data into expressive artworks using Arduino, Raspberry Pi and MaxMSP.
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