The Cultivation Paradigm: Architecture as a Metabolic System From Inverted Mycelium to City-Scale Living Infrastructure

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Authors: Jamie Morris
Cited by: 0

Abstract

This work presents The Cultivation Paradigm, a unified framework for understanding architecture and infrastructure not as assembled static objects, but as cultivated metabolic systems evolving across time. Using mycelium-based structures as a demonstrative case, the framework inverts conventional assumptions about design, construction, failure, ownership, and urban scale. Rather than treating materials as inert and buildings as finished products, the Cultivation Paradigm reframes structure as a temporary stabilization of biological, environmental, and energetic flows. The document introduces: The transition from assembly-based design (CAD, discrete parts) to cultivation-based design (growth orchestration, environmental simulation) The role shift from architect as form-maker to architect as system gardener and steward The concept of graceful degradation, where failure is gradual, scheduled, and ecologically integrated rather than catastrophic The Bio-Digital Grid, a city-scale metabolic sensing and coordination layer for living infrastructure The Living Structure Covenant, a governance and liability model based on time-phased stewardship rather than static ownership The framework traces a continuous logic from microscopic biological networks to city-scale infrastructure, concluding with the city understood as a super-organism: a temporarily stabilized thickening of local ecology rather than an intrusion upon it. This document does not propose a product, technology, or prediction. It is offered as a reference framework for designers, engineers, policymakers, and researchers working with living materials, adaptive infrastructure, and long-horizon systems where time, metabolism, and transformation are intrinsic design parameters.

Fields of Study & Subjects

Plant and Biological Electrophysiology Studies Slime Mold and Myxomycetes Research Architecture and Computational Design

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 January 2026
Document type
Preprint