Models From Complexity Science

Research output: Contribution to conferenceOtherResearchpeer-review

Abstract

In popular dialogues, describing a system as “complex” is often the point of resignation, inferring that the system cannot be sufficiently described, predicted nor managed. Scientific dialogues however, have explored the collective behaviours of complexity to formally define a complex system. This presentation will introduce generic principles from complex systems science, and unpack how and why they can be applied to user experience design.
Original languageEnglish
Publication statusPublished - 15 Dec 2017

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Large scale systems
Systems science

Keywords

  • user experience
  • Design
  • complexity science

Cite this

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title = "Models From Complexity Science",
abstract = "In popular dialogues, describing a system as “complex” is often the point of resignation, inferring that the system cannot be sufficiently described, predicted nor managed. Scientific dialogues however, have explored the collective behaviours of complexity to formally define a complex system. This presentation will introduce generic principles from complex systems science, and unpack how and why they can be applied to user experience design.",
keywords = "user experience, Design, complexity science",
author = "Karen Cham",
year = "2017",
month = "12",
day = "15",
language = "English",

}

Models From Complexity Science. / Cham, Karen.

2017.

Research output: Contribution to conferenceOtherResearchpeer-review

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AB - In popular dialogues, describing a system as “complex” is often the point of resignation, inferring that the system cannot be sufficiently described, predicted nor managed. Scientific dialogues however, have explored the collective behaviours of complexity to formally define a complex system. This presentation will introduce generic principles from complex systems science, and unpack how and why they can be applied to user experience design.

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