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environmental_machine_learning [2018-02-26 14:21] theunkarelseenvironmental_machine_learning [2020-07-03 10:44] (current) theunkarelse
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 === research thread: === === research thread: ===
 [[groworld_hpi]] > [[http://boskoi.org|Boskoi]] 2010 > [[http://augmentedecology.com|Augmented Ecology]] 2014 > [[http://machinewilderness.net/|Machine Wilderness]] 2015 > Environmental Machine Learning (2018) [[groworld_hpi]] > [[http://boskoi.org|Boskoi]] 2010 > [[http://augmentedecology.com|Augmented Ecology]] 2014 > [[http://machinewilderness.net/|Machine Wilderness]] 2015 > Environmental Machine Learning (2018)
 +
 +=== project website: ===
 +  * [[http://randomforest.nl/|Random Forests]]
  
 === potential starting questions: === === potential starting questions: ===
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   * [[https://topdata.news/how-the-random-forest-algorithm-works-in-machinelearning/|"How The Random Forest Algorithm Works In Machine Learning"]]   * [[https://topdata.news/how-the-random-forest-algorithm-works-in-machinelearning/|"How The Random Forest Algorithm Works In Machine Learning"]]
   * [[https://quantdare.com/random-forest-many-is-better-than-one/|"Random Forest: Many Is Better Than One"]]   * [[https://quantdare.com/random-forest-many-is-better-than-one/|"Random Forest: Many Is Better Than One"]]
-  * [[https://deepmind.com/blog/understanding-agent-cooperation/Understanding Agent Cooperation]]+  * [[https://deepmind.com/blog/understanding-agent-cooperation/|Understanding Agent Cooperation]]
   * [[https://blogs.nvidia.com/blog/2017/02/23/ai-rainforest-biodiversity/|Tree’s Company: AI Maps Biological Riches of the Rainforest]]   * [[https://blogs.nvidia.com/blog/2017/02/23/ai-rainforest-biodiversity/|Tree’s Company: AI Maps Biological Riches of the Rainforest]]
   * [[https://www.theatlantic.com/amp/article/520713/|Artificial Intelligence: The Park Rangers of the Anthropocene]]   * [[https://www.theatlantic.com/amp/article/520713/|Artificial Intelligence: The Park Rangers of the Anthropocene]]
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   * [[https://ml4a.github.io/ml4a/how_neural_networks_are_trained/| Machine Learning For Artists - How neural networks are trained]]   * [[https://ml4a.github.io/ml4a/how_neural_networks_are_trained/| Machine Learning For Artists - How neural networks are trained]]
   * [[https://deepindex.org/|DeepIndex - lists what AI can do by now ]]   * [[https://deepindex.org/|DeepIndex - lists what AI can do by now ]]
 +  * [[https://www.quantamagazine.org/why-self-taught-artificial-intelligence-has-trouble-with-the-real-world-20180221/|Why self taught AI has trouble with the real world]]
 +  * [[http://aiweirdness.com/post/171451900302/do-neural-nets-dream-of-electric-sheep/|Do Neural Networks dream of Electric Sheep? Having fun with misclassified images]]
 +  * [[http://www.asimovinstitute.org/neural-network-zoo/|Neural Network Zoo]]
 +  * [[https://www.publicsource.org/mathematician-cathy-oneil-discusses-how-algorithms-can-perpetuate-inequity-why-math-needs-ethics-and-what-non-math-people-can-do/|Weapons of Math Destruction]]
 +  * [[https://www.aprja.net/the-environment-is-not-a-system/|the Environment is not a System]]
 +  * [[https://fcampelo.github.io/EC-Bestiary/|Evolutionary Computation Bestiary]]
 +  * [[http://www.foldl.me/2018/conceptual-issues-ai-safety-paradigmatic-gap/|Conceptual issues in AI safety: the paradigmatic gap]]
  
 === Youtube Lectures: === === Youtube Lectures: ===
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   * [[https://www.theguardian.com/commentisfree/video/2016/mar/16/artificial-intelligence-we-should-be-more-afraid-of-computers-than-we-are-video|AI: we should be more afraid of computers than we are]] Guardian video (also [[https://www.theguardian.com/culture/2017/feb/21/what-our-original-drama-the-intelligence-explosion-tells-us-about-ai| Gunter the Robot]])   * [[https://www.theguardian.com/commentisfree/video/2016/mar/16/artificial-intelligence-we-should-be-more-afraid-of-computers-than-we-are-video|AI: we should be more afraid of computers than we are]] Guardian video (also [[https://www.theguardian.com/culture/2017/feb/21/what-our-original-drama-the-intelligence-explosion-tells-us-about-ai| Gunter the Robot]])
   * [[https://www.ted.com/talks/stuart_russell_how_ai_might_make_us_better_people#t-589195|TED: Stuart Russell rules for making AI more human compatible]]   * [[https://www.ted.com/talks/stuart_russell_how_ai_might_make_us_better_people#t-589195|TED: Stuart Russell rules for making AI more human compatible]]
 +
  
 === framing: === === framing: ===
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   * [[https://aeon.co/essays/your-brain-does-not-process-information-and-it-is-not-a-computer|Your brain does not process information and it is not a computer]]   * [[https://aeon.co/essays/your-brain-does-not-process-information-and-it-is-not-a-computer|Your brain does not process information and it is not a computer]]
   * [[thalience]]   * [[thalience]]
-  * Panpsychism+  * [[Panpsychism]] 
 +  * [[https://wiki.p2pfoundation.net/Contemplating_the_More-than-Human_Commons| More than human commons]]
   * Sasi / Rahui / Mo        * Sasi / Rahui / Mo     
     * An institutional analysis of SasiLaut in Maluku, Indonesia [[https://www.researchgate.net/publication/23550908_An_institutional_analysis_of_SasiLaut_in_Maluku_Indonesia]]     * An institutional analysis of SasiLaut in Maluku, Indonesia [[https://www.researchgate.net/publication/23550908_An_institutional_analysis_of_SasiLaut_in_Maluku_Indonesia]]
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     * The Meaning of Mo: Place, Power and Taboo in the Marshall Islands[[https://openresearch-repository.anu.edu.au/bitstream/1885/116113/4/Ahlgren%20Thesis%20final%202017.pdf]] Sections on Cultural Ecology, Ecological Knowledge, Scared ecologies. Broad, detailed discussion of use or traditions of taboo in context of modern conservation & resource management.     * The Meaning of Mo: Place, Power and Taboo in the Marshall Islands[[https://openresearch-repository.anu.edu.au/bitstream/1885/116113/4/Ahlgren%20Thesis%20final%202017.pdf]] Sections on Cultural Ecology, Ecological Knowledge, Scared ecologies. Broad, detailed discussion of use or traditions of taboo in context of modern conservation & resource management.
  
-<blockquote> +
-Algorithms underpin the global technological infrastructure that extracts and develops natural resources such as minerals, food, fossil fuels and living marine resources. They facilitate global trade flows with commodities and they form the basis of environmental monitoring technologies. Last but not least, algorithms embedded in devices and services affect our behavior - what we buy and consume and how we travel, with indirect but potentially strong effects on the biosphere. As a result, algorithms deserve more scrutiny.\\ - Victor Galaz / Stockholm Resilience Centre</blockquote>+
  
 === initiatives: === === initiatives: ===
-  * [[http://www.handsfreehectare.com/|Hands-Free Hectare]] 
   * [[https://www.microsoft.com/en-us/aiforearth|Microsoft AI for Earth]]   * [[https://www.microsoft.com/en-us/aiforearth|Microsoft AI for Earth]]
   * [[https://www.zsl.org/conservation/conservation-initiatives/conservation-technology/machine-learning|Zoological Society London]]   * [[https://www.zsl.org/conservation/conservation-initiatives/conservation-technology/machine-learning|Zoological Society London]]
   * [[http://www.terra0.org/|Terra0]]   * [[http://www.terra0.org/|Terra0]]
 +  * [[http://www.thedrum.com/news/2018/04/17/ff-los-angeles-helps-preserve-the-oceans-mining-bitcoin|Ocean Miner]]
   * [[http://gainforest.org/|Gainforest]]   * [[http://gainforest.org/|Gainforest]]
 +  * [[https://www.regen.network/|Regen.Network]]
 +  * [[http://www.handsfreehectare.com/|HandsfreeHectare]]
 +  * [[https://www.biocarbonengineering.com/|BioCarbonEngineering]]
 +
 +=== code of conduct: ===
 +  * [[http://charteroftheforest800.org/|Charter of the Forest 800 year anniversary]]
 +  * [[http://thebiospherecode.com/|The Biosphere Code, Stockholm Resilience Center]]
 +  * [[https://www.sciencedirect.com/science/article/pii/S1574954118301961|The Bari Manifesto]]
 +  * [[http://www.geoengineering.ox.ac.uk/www.geoengineering.ox.ac.uk/oxford-principles/principles/| Oxfort Principles for GeoEngineering]]
 +  * [[bioluddite_charter]]
 +
 +<blockquote>
 +Algorithms underpin the global technological infrastructure that extracts and develops natural resources such as minerals, food, fossil fuels and living marine resources. They facilitate global trade flows with commodities and they form the basis of environmental monitoring technologies. Last but not least, algorithms embedded in devices and services affect our behavior - what we buy and consume and how we travel, with indirect but potentially strong effects on the biosphere. As a result, algorithms deserve more scrutiny.\\ - Victor Galaz / Stockholm Resilience Centre</blockquote>
  
 === see also: ===  === see also: === 
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   * [[Robust Physical Perturbations]]   * [[Robust Physical Perturbations]]
   * [[Environmental blockchain]]   * [[Environmental blockchain]]
 +  * [[notes_aare]]
 +  * [[fieldwork]]
 \\ \\
 Project website: [[http://randomforests.nl/|randomforests.nl/]] Project website: [[http://randomforests.nl/|randomforests.nl/]]
  • environmental_machine_learning.1519654901.txt.gz
  • Last modified: 2018-02-26 14:21
  • by theunkarelse