Knitting with unknown trees: assembling a more-than-human practice

In this pictorial, we explore alternative ways of knowing urban trees through a more-than-human lens. Using a municipal tree dataset, we focus on “unknown” trees—entries unclassified due to error, decay, or absence—highlighting the limits of quantification and fixed knowledge systems. Urban trees, while critical for ecosystems, are often shaped by technological interventions (e.g., GIS, IoT sensors, AI diagnostics) that prioritize their utility over other expressions. We engage in knitting as a material inquiry to foreground nonhuman agencies and relational entanglements. Through reflective shifts and compromises, this project questions normative design practices, seeking to amplify nonhuman participation. We make two contributions. Firstly, we offer insights into fostering alternative, relational engagements with urban ecologies. Secondly, we reflect on our process of surfacing and working with agentic capacities, articulating guidance for other design researchers. Through this, we advocate for fragmented approaches that embrace complicity and complexity in more-than-human design.