Computational co-assembly calculating with nature to grow Islands

Current approaches to coastal resilience often fail because they rely on prediction and control in an era of deep climatic uncertainty. This research proposes an environmental architecture that serves as an adaptive mediator, facilitating co-assembly between human intervention and natural systems. This design methodology shifts the paradigm from computed solutions to computing systems that continuously adapt via environmental feedback. Using a high-throughput computational pipeline, we explore a parameter space of geometric configurations, designing submerged structures that modulate hydrodynamic energy to direct sediment transport and grow a nascent island. These structures were deployed as a Real-World Lab in the Maldives, serving as a full-scale test of this Co-assembly approach to resilience. Over a 12-month period, the structures facilitated the accretion of nascent landforms, demonstrating an adaptive alternative to dredging. The results illustrate the potential for computational design to instrumentalize environmental science, creating architectural systems that do not merely inhabit a site but actively compute with its physical forces to build resilience over time.

Authors

Institutions

Publication Details

Journal
International Journal of Architectural Computing
Published
2026-05-30
DOI
https://doi.org/10.1177/14780771261454114
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational co-assembly calculating with nature to grow Islands

Skylar Tibbits, Natalie Pearl, Hassan Maniku, Sarah Dole et al.
International Journal of Architectural Computing
Modular Robots and Swarm Intelligence
article

Computational co-assembly calculating with nature to grow Islands

Skylar Tibbits, Natalie Pearl, Hassan Maniku, Sarah Dole, Walter Zesk
article en

Abstract

Current approaches to coastal resilience often fail because they rely on prediction and control in an era of deep climatic uncertainty. This research proposes an environmental architecture that serves as an adaptive mediator, facilitating co-assembly between human intervention and natural systems. This design methodology shifts the paradigm from computed solutions to computing systems that continuously adapt via environmental feedback. Using a high-throughput computational pipeline, we explore a parameter space of geometric configurations, designing submerged structures that modulate hydrodynamic energy to direct sediment transport and grow a nascent island. These structures were deployed as a Real-World Lab in the Maldives, serving as a full-scale test of this Co-assembly approach to resilience. Over a 12-month period, the structures facilitated the accretion of nascent landforms, demonstrating an adaptive alternative to dredging. The results illustrate the potential for computational design to instrumentalize environmental science, creating architectural systems that do not merely inhabit a site but actively compute with its physical forces to build resilience over time.

International Journal of Architectural Computing
Indena (Italy) (IT), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 10%
Modular Robots and Swarm Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.