DECODING THE EVOLUTION OF DIGITAL DESIGN AND MANUFACTURING THROUGH DATA SCRAPPING AND DIGITAL BIBLIOMETRICS

Throughout time, design has been permeated with knowledge from other fields. In recent decades, computer science has been a major force in design, radically transforming the way in which designers think, design and build. In this context, an effective and systematic tool is needed to observe and understand this phenomenon. Differentiating itself from the existing theoretical studies such as those by Carpo, Picon and Lynn, this investigation proposes a methodology for studying the digital culture in design using the same computational toolsets that it investigates. A new methodology is proposed and developed using data scrapping and bibliometrics techniques to obtain and measure textual information. The research conducts a study of keywords, geographic distribution, collaboration of researchers and historical evolution of computational design. The information from 15,000 papers in CumInCad was collected, analyzed and organized chronologically to expose trends and intersections. The research contributes with a functional bibliometric and visualization prototype and proposes the future development of a three-dimensional visualization platform capable of visualizing and interacting, understanding its origin, paradigms and its incorporation into the design discipline in all phases of its process. In this way, it creates opportunities to generate a deeper interdisciplinary learning about the knowledge of Design sciences and its intersection with computing.