This paper documents the approach taken by and the work produced in an undergraduate research studio conducted at UC Berkeley in the Spring of 2020. Here, a series of small design projects examine the applicability of machine-augmented sketching tools to early-stage architectural design.

This paper presents a new prototyping visualization toolkit, developed for the Grasshopper (Rutten 2013) visual programming environment, which enables the situational development of information graphics.

This paper proposes the production of synthetic images of cities using generative adversarial networks (or GANs) represents the first computational approach to documenting the Genius Loci of a city, which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN and Pix2Pix) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images.

This paper documents the process of developing a custom-built weather data parser, and producing a number of diagrams and data visualizations. These visualizations are not only useful in and of themselves for aligning design strategies to specific contexts, but they also illustrate the foundations of a larger theoretical framework for the processing and visualization of climatic data for effective utilization of bioclimatic flows.

In this introduction to an ACADIA conference session of the same name presents a new prototyping visualization toolkit, developed for the Grasshopper visual programming environment, which enables the situational development of information graphics.

This paper argues that prevailing approaches to CAD software have been fashioned to support modes of reasoning only of secondary importance to design activity, and that, due to some recent developments in computer vision, this state of affairs may be about to change. Surveying the current state of CAD tools, a critical position is developed based upon the best current understanding of the cognitive processes related to design.

This paper presents progress in the development of practical applications for graph representations of meshes for a variety of problems relevant to generative architectural design (GAD).

Given the widespread use of meshes and the utility of segmentation in generative architectural design, by surveying the relevant and recently matured approaches to mesh segmentation in CG that share a common representation of the mesh dual, this paper identifies and takes steps to address a heretofore unrealized transfer of technology that would resolve a missed opportunity for both subject areas.

This study applies a programmatic paradigm taxonomy to a comparison of two programming environments: Decodes and DesignScript, and yields a set of suggested guidelines for the context-appropriate application of each of these paradigms.