Abstract
This article explores mapping as an experimental design practice that emerges from the intersection of ecosystems, technologies, and communities. Grounded in the Powers of Ten model and the Fab City Full Stack framework, our approach combines multi-scale observation- ranging from local infrastructures to bioregional systems- to capture ecological, material, and social data that reveal the interdependencies shaping territories. The work focuses on detecting weak signals of hyperlocal phenomena, often overlooked shifts in ecological or social systems, that can guide an iterative prototyping process. In this way, mapping becomes a generative act, tracing connections between citizens' behaviors, environmental conditions, and material resources within a continuous feedback loop of interpretation and intervention. A coastal village case study in Serangan, Bali demonstrates how multi-scalar geospatial observations can function as boundary objects that support community-led design interventions.
Keywords
fab city; full stack; experimental mapping; participatory design; weak signals
DOI
https://doi.org/10.21606/drs.2026.2290
Citation
Vivanco, T., and Diez, T. (2026) Mapping agents: a Fab City Full Stack geospatial framework for interdependent, community-led interventions, in Simeone, L., Gray, C. M., Verhoeven, A., de Götzen, A., Bakırlıoğlu, Y., Zohar, H., Stead, M., and Buwert, P. (eds.), DRS2026: Edinburgh, 8–12 June, Edinburgh, United Kingdom. https://doi.org/10.21606/drs.2026.2290
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Included in
Mapping agents: a Fab City Full Stack geospatial framework for interdependent, community-led interventions
This article explores mapping as an experimental design practice that emerges from the intersection of ecosystems, technologies, and communities. Grounded in the Powers of Ten model and the Fab City Full Stack framework, our approach combines multi-scale observation- ranging from local infrastructures to bioregional systems- to capture ecological, material, and social data that reveal the interdependencies shaping territories. The work focuses on detecting weak signals of hyperlocal phenomena, often overlooked shifts in ecological or social systems, that can guide an iterative prototyping process. In this way, mapping becomes a generative act, tracing connections between citizens' behaviors, environmental conditions, and material resources within a continuous feedback loop of interpretation and intervention. A coastal village case study in Serangan, Bali demonstrates how multi-scalar geospatial observations can function as boundary objects that support community-led design interventions.