Abstract
The international Paris Agreement, negotiated at the 2015 United Nations Climate Change Conference (COP 21), includes among its aims support for professional and municipal architecture and urban design practice, emphasising greenhouse gas reductions and carbon-neutral city planning and operations. Miami benefits through multiple large-scale grants focused on strategic solutions to combat and adapt to the effects of global warming, sea level rise, flooding, hurricane impacts, and salt water intrusion. However, Miamis sustainability master plans do not sufficiently target the Paris Agreements carbon neutrality targets. This chapter critically describes how transdisciplinary, parametric-algorithmic, generative design research workflows, combined with cloud-based artificial intelligence and machine learning simulation engines, can produce architectural and urban-infrastructural outcome scenarios for the period from 2018 to 2100. These genetic scenarios have been generated by the FIU Miami CRUNCH research team in their Urban Living Lab (ULL). The ULLs research sectors include green-blue infrastructures to combat sea level rise, synthetic biology scripting, robotic urban farming, local food production mixed with renewable energy design, and carbon-neutral power generation with adaptive infrastructure projects that support the local and regional Food-Water-Energy nexus.
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