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environmental_machine_learning [2018-01-24 08:42] – theunkarelseenvironmental_machine_learning [2018-02-12 09:33] – theunkarelse
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   * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..)   * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..)
   * who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis)   * who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis)
-  * thalience: can environments be given their own voice? (or one that can reach modern humans on more level playing-ground)+  * thalience: can environments be given their own voice? (or one that can reach modern humans on more level power-relations)
  
 === blurb: === === blurb: ===
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 === methods: === === methods: ===
-  * fieldwork: exploration through interactions between man-machine-environment in-situ+  * fieldwork: in-situ exploration through interactions between man-machine-environment 
   * prototyping: like in Boskoi & Machine Wilderness with experiments as vehicles for materializing questions   * prototyping: like in Boskoi & Machine Wilderness with experiments as vehicles for materializing questions
   * critical reflection   * critical reflection
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 === program: (under construction)=== === program: (under construction)===
   * **dec 2017 / nov 2018** > EML Meetup series at MidWest Experimental Station Amsterdam > //theme: Synthetic Environmental Literacy//   * **dec 2017 / nov 2018** > EML Meetup series at MidWest Experimental Station Amsterdam > //theme: Synthetic Environmental Literacy//
-  * **may 2018** > fieldwork session Finland > //theme: Rules of Engagement: Machine and Animal interactions// >  4 ppl / 10 days  +  * **mar 2018** > fieldwork session Terschelling > //theme: Random Forests: Environmental observation and perception into algorithm// >  8 ppl / 3 or 4 days 
-  * **sep 2018** > fieldwork session Terschelling > //theme: Random Forests: Environmental observation and perception into algorithm// >  10 ppl / 2 or 3 days+  * **may 2018** > fieldwork session Finland > //theme: Rules of Engagement: Machine and Animal interactions// >  4 ppl / 10 days
   * **nov 2018** > critical reflection / writing, web or print >  //Fieldguide to Environmental Machine Learning//   * **nov 2018** > critical reflection / writing, web or print >  //Fieldguide to Environmental Machine Learning//
   * exhibition (Artis Zoo?)   * exhibition (Artis Zoo?)
-  * //Plain Air Nouveau// EU program+  * <del>//Plain Air Nouveau// EU program</del>
  
 === reading: === === reading: ===
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   * [[https://www.ercim.eu/publication/Ercim_News/enw61/paysley.html|Modelling Ecological Health using AI Techniques]]   * [[https://www.ercim.eu/publication/Ercim_News/enw61/paysley.html|Modelling Ecological Health using AI Techniques]]
   * [[http://ml-playground.com/|Machine Learning Playground ]]   * [[http://ml-playground.com/|Machine Learning Playground ]]
 +  * [[https://www.technologyreview.com/s/609048/the-seven-deadly-sins-of-ai-predictions/|The Seven Deadly Sins of AI Predictions]]
 +  * [[https://ml4a.github.io/ml4a/how_neural_networks_are_trained/| Machine Learning For Artists - How neural networks are trained]]
  
 === Youtube Lectures: === === Youtube Lectures: ===
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   * [[machine ecology]]   * [[machine ecology]]
   * [[Robust Physical Perturbations]]   * [[Robust Physical Perturbations]]
 +  * [[Environmental blockchain]]
 \\ \\
 Project website: [[http://randomforests.nl/|randomforests.nl/]] Project website: [[http://randomforests.nl/|randomforests.nl/]]
  • environmental_machine_learning.txt
  • Last modified: 2020-07-03 10:44
  • by theunkarelse