The Red Earth Project (2019-)

Introduction
  1. Overview    
  2. Research
  3. A Lecture at Princeton

The Books
  1. About
  2. Red Earth in the Paris Review
  3. Themes
  4. Form
  5. Where to buy
  6. What Lies Beyond the Red Earth?

Sales

Process and Output
  1. Conceptual Development
  2. Photography
  3. Prose
  4. Computational and Subjective Translation
  5. Digital to Physical
  6. Process 1: Process and Theory
  7. Process 2: Making
  8. Compositions

Selected Works
  1. Red Earth, The Book
  2. Ever Abeokuta
  3. Colonial Enterprise
  4. Red Earth
  5. Amor Fati
  6. Direct Translation Diptychs 1, 2, 3 & 4
  7. Sixteenth Century Technology
  8. How Can Time Become a Circle
  9. Deference
  10. Solitary Breath

Exhibitions & Performances
  1. Studio Hanniball
  2. Archive of Forgetfulness
  3. Listening to the Red Earth, a film

Community

   1. The Red Earth Playlist
   2. Beyond the Zero Podcast
   3. EDIT Magazin

Related Works
  1. Planetary Portals
  2. Losing is Ours

Next Steps

Object Int’l —
Info
  1. The Red Earth Project is an ongoing artistic, interdisciplinary study centred on prose reflections and machine translation, drawing attention to the precarious status of non-western cultural heritage, knowledge systems and practices in the increasingly dominant Western systems of data, virtual architectures and AI technologies. A critical study of machine learning (AI), this research asks how alternative cosmologies can be better represented within virtual architectures powered by probabalistic computation. 

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5. Digital to Physical







Machine learning models are combined to produce outputs that create an input mesh from the image data: 3D mesh with vertex displacements, based on coordinates found in the generated image data, from changes in colour and shape, where the model has attempted to calculate some kind of compositional representation of the prose, almost like weather forces, allowing them to form circumstantially as a kind of alternate geology in which the materials, or skin are full with the prose data.