CT4 Regeneratively Resilient Infrastructure Systems

Infrastructure, in the context of post-hunter-gatherer times, is what makes a place — the built human domain — functionally and aesthetically liveable. To be truly sustainable, infrastructure must be long lasting and have many functions. For example, resilience is highlighted by the many Roman roads that are still in use today — they are still functioning even though they were built around two thousand years ago! This is key. Regeneratively Resilient Infrastructure Systems are designed and developed so that they integrate into a multi-functional matrix of local needs and so that they outlast conventional infrastructure. Students learn how to achieve these outcomes.

N.B. Natural wild zones can be integrated into the built environment! Apparently, the Indian city, Mumbai has the highest leopard density of any place in the world — including nature reserves! Rewilding of cities is possible — maybe not with top predators though!!!

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RSD Course Versions

The pre-alpha version of a lesson is one that has not been peer reviewed yet — however, don’t worry, pre-alpha is good enough to be live! The alpha version is an early version of a peer reviewed lesson that is part of a dedicated evaluation process. The beta version includes almost all of the final content, videos, etc. yet it may still need to be tweaked somewhat.

The first modules of the pre-alpha version of the RSD Course are already live. The reason for making the pre-alpha version live is that we are actively engaging with our ‘early adopter’ crowdfunding students and contributors so that we can build the best course possible. The completed alpha versions of the entire course will be live from the 1st September 2024.

The beta version of the entire RSD Course will hopefully be released by 1st March 2025. The ‘completed & refined’ release of the RSD Course (English) should be available around late-2025. The course will then be translated into other languages — around 10 languages at first, and then more according to demand.