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Designing Biodiversity Systems via Digital Kinships: Insights from Community Data Processes and Creative Practice.

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Digital biodiversity data in restoration projects can be more meaningful when community-driven, shifting focus from technology to ecological restoration. This study offers design recommendations for user-centered biodiversity technologies.

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Area of Science:

  • Environmental Science
  • Digital Ecology
  • Conservation Technology

Background:

  • Digital biodiversity data use in local restoration projects contrasts with large-scale innovation.
  • Technological capacity often drives data generation over restoration goals.

Purpose of the Study:

  • To examine how digital biodiversity data and emerging technologies are used in local restoration.
  • To contrast user experiences with large-scale innovation patterns.
  • To generate design recommendations for biodiversity technologies.

Main Methods:

  • Participatory research in a Dutch living lab community.
  • Six months of qualitative fieldwork.
  • Design of a digital and physical data portal to simulate technoscientific innovation.

Main Results:

  • Local user relations to biodiversity data differ from technocentric innovation patterns.
  • A data portal was designed to make complex technological effects experientially available.
  • Four themes emerged: environmental storytelling, prediction, interactive dynamics, and simulation aesthetics.

Conclusions:

  • Community preferences lean towards digital environments supporting nuanced relationships with local biodiversity.
  • A shift towards community-driven, restoration-focused models is suggested.
  • Design recommendations aim to align biodiversity technologies with local restoration efforts.