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handle: 11343/345021
AbstractThis chapter addresses the environmental crisis by empowering voices and actions of non-human lifeforms in more-than-human design. This work is significant because dominant approaches to sustainability remain limited by the knowledge of human experts, resulting in exclusion, bias, and inadequate outcomes. Seeking to address this gap, the chapter extends existing theoretical work on more-than-human communities by providing conceptual framing, tools, and examples that can inform design action. To do this, it examines a degraded site that already attracts substantial restoration efforts and contributes to them by designing artificial structures that can support arboreal wildlife. The described workflow scans trees that serve as habitat structures, uses field observations in combination with artificial intelligence to predict bird behaviours, and deploys computation to generate innovative designs. This process reframes trees as designers, birds as clients, and humans as assistants. The evidence contributes to knowledge by demonstrating the potential and practicality of more-than-human participation.
Interspecies Design, More-than-Human Participation, Spatial Data Analysis, 577, Architectural design, Biodiversity conservation, Artificial Habitat-Structures, 300
Interspecies Design, More-than-Human Participation, Spatial Data Analysis, 577, Architectural design, Biodiversity conservation, Artificial Habitat-Structures, 300
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |