Data driven decision making through bio-inspired principles
Ortiz, Victor Barreto
Architects are constantly facing design challenges that have to be solved efficiently and effectively not only in terms of spatial design but of social behavior and business strategy. Bio-inspired principles fueled by sets of data collected by users could predict patterns of necessity and trends, ultimately aiding on informed decision making. Imitating nature has become a recurring approach for contemporary architects, basing design on biological structures that minimize their efforts for specific outcomes, enabled by their improvement over the evolutionary process. A data driven process can create much more personalized user experiences and identify the essential aspects of a project, visually and functionally, transforming the way space is designed, built and used through widely available and accessible information and emerging types engagement. This dissertation will define and exemplify, through a set of five projects, the different nomenclatures and functions of bio-inspired design, using decision making techniques such as meta-heuristic optimization algorithms, visual comparison and environmental simulation; Introduce public data collection and its use in architecture, and finally result in a case study on a Feasibility Study platform that uses non-linear, bio-inspired algorithms, directed by user-generated data, to generate building typologies and inform potential development locations.
Architecture; Bio-Inspired Design; Biomimetics; Data; Ecology
Master of Science
dissertation or thesis