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environmental_machine_learning [2019-02-27 08:17] – theunkarelseenvironmental_machine_learning [2019-02-27 08:51] – theunkarelse
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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: ===
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   * [[http://thebiospherecode.com/|The Biosphere Code, Stockholm Resilience Center]]   * [[http://thebiospherecode.com/|The Biosphere Code, Stockholm Resilience Center]]
   * [[https://www.sciencedirect.com/science/article/pii/S1574954118301961|The Bari Manifesto]]   * [[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: === 
  • environmental_machine_learning.txt
  • Last modified: 2020-07-03 10:44
  • by theunkarelse