Codes negotiate the bounds of what buildings and cities should be, while coding encompasses possibilities that ignite imaginations, forms, and projects. This issue results in a union of codes and coding, intertwining humans and machines through data. The issue features codes from historical data and coding for methods and frameworks that apply the datasets in developing and contributing to many fields of study, including urban development, sustainability, architecture, history, law, computer science, and agriculture.
An urban approach by Yasin Delavar, Amirhossein Delavar, Kianoush Suzanchi, and Karla Saldana Ochoa proposes a “GreenPlotter” algorithm for land partitioning that introduces carbon sequestration as a measurable green factor in automated land development. Machine learning and artificial intelligence code large language machine learning models that can comprehend and generate natural language text to replace architects’ current notations when acting as multidimensional mediators.
