Environmental Machine Learning in Multispecies Agency: A Case Study of Random Forests

Park Ji Yun

Environmental Machine Learning in Multispecies Agency: A Case Study of Random Forests

Park Ji Yun

School of Creative Media

Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review

Abstract

The recent tendency in researching multispecies is through the interdisciplinary practice of creative art and technology. By applying machine learning as a tool for studying multispecies dynamics within an artistic context, it is possible to create an ecological narrative of other species. This text analyses the Random Forests research project as a case study for how Environmental Machine Learning (EML) generates such a narrative and questions how EML can help humans to better understanding multispecies entities and enable them to pursue more ecologically ethical multispecies relationships.

Original language	English
Pages	112-114
Publication status	Published - Jun 2021
Event	Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2) - City University of Hong Kong, Hong Kong, China Duration: 10 Jun 2021 → 14 Jun 2021 https://www.cityu.edu.hk/artmachines2/

Conference

Conference	Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)
Place	China
City	Hong Kong
Period	10/06/21 → 14/06/21
Internet address	https://www.cityu.edu.hk/artmachines2/

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https://www.cityu.edu.hk/scm/artmachines2/AM2%20Conference%20Proceedings.pdf#page=65

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1 Conference / Symposium
1 Presentation

Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)
PARK, J. Y. (Presenter)
12 Jun 2021
Activity: Organizing or Participating in a conference / an event › Conference / Symposium
Environmental Machine Learning in Multispecies Agency: A Case Study of Random Forests
PARK, J. Y. (Speaker)
10 Jun 2021 → 14 Jun 2021
Activity: Talk/lecture or presentation › Presentation

Cite this

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title = "Environmental Machine Learning in Multispecies Agency: A Case Study of Random Forests",

abstract = "The recent tendency in researching multispecies is through the interdisciplinary practice of creative art and technology. By applying machine learning as a tool for studying multispecies dynamics within an artistic context, it is possible to create an ecological narrative of other species. This text analyses the Random Forests research project as a case study for how Environmental Machine Learning (EML) generates such a narrative and questions how EML can help humans to better understanding multispecies entities and enable them to pursue more ecologically ethical multispecies relationships.",

author = "Yun, \{Park Ji\}",

year = "2021",

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language = "English",

pages = "112--114",

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N2 - The recent tendency in researching multispecies is through the interdisciplinary practice of creative art and technology. By applying machine learning as a tool for studying multispecies dynamics within an artistic context, it is possible to create an ecological narrative of other species. This text analyses the Random Forests research project as a case study for how Environmental Machine Learning (EML) generates such a narrative and questions how EML can help humans to better understanding multispecies entities and enable them to pursue more ecologically ethical multispecies relationships.

AB - The recent tendency in researching multispecies is through the interdisciplinary practice of creative art and technology. By applying machine learning as a tool for studying multispecies dynamics within an artistic context, it is possible to create an ecological narrative of other species. This text analyses the Random Forests research project as a case study for how Environmental Machine Learning (EML) generates such a narrative and questions how EML can help humans to better understanding multispecies entities and enable them to pursue more ecologically ethical multispecies relationships.

M3 - RGC 32 - Refereed conference paper (without host publication)

SP - 112

EP - 114

Y2 - 10 June 2021 through 14 June 2021

ER -

Environmental Machine Learning in Multispecies Agency: A Case Study of Random Forests

Abstract

Conference

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Activities

Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)

Environmental Machine Learning in Multispecies Agency: A Case Study of Random Forests

Cite this