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Nature Networks: Designing for nature data collection and sharing from local to global

Published: 01 July 2024 Publication History

Abstract

Human-nature relations are formed by the social and economic forces underlying local, physical places. Yet, many citizen science platforms are designed for national or global nature data collection. How local knowledge of wildlife can be effectively assembled to support this is an open question. This study explored what a localised nature network might look like and how to design for what people care about, notice, record, and share. We undertook research with 14 participants in an inner-city location, using interviews and a variety of technology probes. We found that participants’ social and physical boundaries, values regarding family and community, and diverse questions impacted human-nature relations and nature data collection. Speculated physical-digital networks indicated novel combinations of platforms and technologies to drive ongoing engagement and learning. This study contributes insight into how nature data is formed by the realities of locality, and how a fractured nature/data landscape might be mended.

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  • (2024)Leveraging the collaborative power of AI and citizen science for sustainable developmentNature Sustainability10.1038/s41893-024-01489-2Online publication date: 16-Dec-2024

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      cover image ACM Conferences
      DIS '24: Proceedings of the 2024 ACM Designing Interactive Systems Conference
      July 2024
      3616 pages
      ISBN:9798400705830
      DOI:10.1145/3643834
      This work is licensed under a Creative Commons Attribution International 4.0 License.

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      Published: 01 July 2024

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      Author Tags

      1. Ambient technology
      2. Citizen science
      3. Community of practice
      4. Data
      5. Nature
      6. Place
      7. Relational technology
      8. Social interaction

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      • Australian Research Council Centre of Excellence for the Digital Child

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      DIS '24: Designing Interactive Systems Conference
      July 1 - 5, 2024
      Copenhagen, Denmark

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      • (2024)Leveraging the collaborative power of AI and citizen science for sustainable developmentNature Sustainability10.1038/s41893-024-01489-2Online publication date: 16-Dec-2024

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