Climate Change Impact Filter
An interactive machine learning experiment that visualises what we might lose and what will remain as temperatures rise
April 2021 | With Sey Min
Nature
Science

With global temperatures rising, what will we lose and what will remain?

Artist Sey Min has created an impact filter for you to explore & discover what we might lose as temperatures rise. She has has trained a machine learning model on thousands of Google Search images, clustering by the type of species.

As you increase the temperature, discover what happens to 62 different animal species - and reveal the new anthropocene species, or waste, we leave.

Scientific validation:The Integrated Science Lab (Seoul),
The artist interpreted the data from The UN's IPCC Reports, The Integrated Science Lab (Seoul), IUCN- International Union for Conservation of Nature, WWF

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