Population research in AEC design and planning involves examining historical demographic patterns. By analyzing population trends over time, AEC professionals gain valuable insights into how communities have evolved, helping them anticipate future needs, plan infrastructure, and design spaces that align with historical and projected demographic changes.

AI in AEC has diverse applications, including automating design processes, analyzing complex data sets for better decision-making, optimizing construction schedules, and enhancing project management. It improves efficiency by streamlining tasks and provides valuable insights for informed decision-making throughout the project lifecycle.

DFMA stands for Design for Manufacture and Assembly. It is an approach in engineering that focuses on optimizing the design of a product or system to simplify the manufacturing and assembly processes. The goal is to reduce production costs, improve efficiency, and enhance the overall quality of the final product by considering ease of manufacturing and assembly during the design phase.