Integrating Ai-Synbio-Digital Twin Futures In Coastal Urban Resilience

Our research at the Generative AI-SynBio Infrastructures Design Studio, supported by the National Science Foundation (NSF US), Intelligent Europe, and the EU Belmont/Horizon 2020 programs, proposes a pioneering investigation into applying bio-digital intelligent systems in design. Over six years of research, we have targeted low-lying coastal regions, creating bio-inspired code-driven growth and adaptation scenarios with an open-access integrated decision support system app for scenarios from 2018 to 2100. This research interlaces advanced tools and methodologies, including Generative AI, Machine Learning, and Generative Adversarial Networks, merged with natural and synthetic biology data ecosystems. This amalgamation fosters evolutionary growth design algorithms and techniques pivotal for developing resilient, adaptive, and carbon-positive urban landscapes, specifically addressing challenges like sea-level rise, soil subsidence, hurricane-driven storm surges, and heatwaves in low-lying areas of Miami, Fort Myers-Sanibel Island, USA, and Genoa, Italy