Kyle Steinfeld

Clever Little Tricks

Kyle Steinfeld

The emergence of text-to-image generative models (e.g., Midjourney, DALL-E 2, Stable Diffusion) in the summer of 2022 impacted architectural visual culture suddenly, severely, and seemingly out of nowhere. To contextualize this phenomenon, in an issue of The International Journal of Architectural Computing, I offer a socio-technical history of contemporary text-to-image generative systems.

Allies in Exile

Kyle Steinfeld

In a chapter of Diffusions in Architecture - Artificial Intelligence and Image Generators, edited by Matias del Campo, I argue that in the context of prompt-based architectural visualization, designers must learn to navigate landscapes beyond the technical.

L'apprenti Sorcier

(The Sorcerer's Apprentice)

Kyle Steinfeld

In a chapter of Artificial Intelligence and Architecture: From Research to Practice, edited by Stanislas Chaillou, I argue that while recent developments in artificial intelligence threaten to dislodge some of our basic assumptions about the nature and purpose of computational design tools, creative designers ought to welcome the disruption.

Routledge Companion to Artificial Intelligence in Architecture

Significant Others - Machine learning as actor, material, and provocateur in art and design

Kyle Steinfeld

I was invited to contribute the first chapter of The Routledge Companion to Artificial Intelligence in Architecture, an edited volume that surveys the state of the art in Artificial Intelligence (AI) as it relates to architecture. In this chapter, I sketch out of a number of models for practice that I see emerging in the area of machine-augmented architectural design, each defined in terms of how it situates the use of ML in design differently.

Sketch2Pix - CDRF 2020

Machine-Augmented Sketching in the Design Studio

Kyle Steinfeld

This paper presents a technical account of the development of an the augmented architectural drawing tool Sketch2Pix: an interactive application that sup-ports architectural sketching augmented by automated image-to-image translation processes.

Sarah Dey, 2020

Drawn, Together - ACADIA 2020

Machine-Augmented Sketching in the Design Studio

Kyle Steinfeld

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.

Nicholas Doerschlag, 2020


A Bioclimatic Information Design Prototyping Toolkit

Kyle Steinfeld & Brendon Levitt

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.

Fresh Eyes - CAAD Futures

A Framework for the Application of Machine Learning to Generative Architectural Design, and a Report of Activities at Smartgeometry 2018

Kyle Steinfeld, Kat Park, Adam Menges, Samantha Walker

This paper presents a framework for the application of Machine Learning (ML) to Generative Architectural Design (GAD), and illustrates this framework through a description of a series of projects completed at the Smart Geometry conference in May of 2018 (SG 2018) in Toronto.

Situated Bioclimatic Information Design

A New Approach to the Processing and Visualization of Climate Data

Kyle Steinfeld, Pravin Bhiwapurkar, Anna Dyson, & Jason Vollen

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.

Open Graphic Evaluative Frameworks

A Climate Analysis Tool Based on an Open Web-Based Weather Data Visualization Platform

Steinfeld, Kyle, Stefano Schiavon, & Dustin Moon

This paper presents a web-based framework that enables the production of user-generated visualizations of weather data.

Public, Private, Protected

Encapsulation and the Disempowerment of the Digital Architect

Kyle Steinfeld

In the inargual issue of Room One Thousand, this essay advocates for designers to look deeper into the nested black boxes that comprise architectural software.

Constraints Driven Design of a Surface Inflatable Habitat Module

Georgi Petrov, Constance M. Adams, Kyle Steinfeld, & Dmitri Jajich

To demonstrate the how space architecture designers can create intelligent associative models, this paper presents an iterative method for refining the shell and interior design of a surface endoskeletal inflatable module.

Data Agency

Kyle Steinfeld

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.

Dreams May Come

Kyle Steinfeld

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.

Ivy - ACADIA 2017

Progress in Developing Practical Applications for a Weighted-Mesh Representation for Use in Generative Architectural Design

Andrei Nejur & Kyle Steinfeld

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).

Ivy - ACADIA 2016

Bringing a Weighted-Mesh Representation to Bear on Generative Architectural Design Applications

Andrei Nejur & Kyle Steinfeld

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.

Paradigms in Computing

Direct, Deferred, and Dissolved Authorship and the Architecture of the Crowd

Kyle Steinfeld & Levon Fox

In a chapter of the edited volume Paradigms in Computing, I present a framework for understanding a shift discernible in contemporary design culture. Here, I describe a shift from a nostalgic notion of direct authorship, understood as a compositional relationship between a designer and the product of his work, to a multiplicity of deferred authorships, wherein the stakeholders in the production of a design are mediated by systems of collaboration.

Geometric Computation

Joy Ko, Kyle Steinfeld

Geometric Computation: Foundations for Design describes the mathematical and computational concepts that are central to the practical application of design computation in a manner tailored to the visual designer. Uniquely pairing key topics in code and geometry, this book develops the two key faculties required by designers that seek to integrate computation into their creative practice: an understanding of the structure of code in object-oriented programming, and a proficiency in the fundamental geometric constructs that underlie much of the computational media in visual design.

Studies in Small Scale Data

Three Case Studies on Describing Individuals’ Spatial Behaviour in Cities

Lynnette Widder, Jessie Braden, Joy Ko, and Kyle Steinfeld

Big Data has been effectively mined to understand behavioural patterns in cities and to map large-scale trends predicated upon the repeated actions of many aggregated individuals. While acknowledging the vital role that this work has played in harnessing the Urban Internet of Things as a means to ensure efficient and sustainable urban systems, our work seeks to recover a scale of behavioural research associated with earlier, empirical studies on urban networks.

Imperative, Functional, Object-Oriented

An Alternative Ontology of Programmatic Paradigms for Design

Kyle Steinfeld & Carlos Sandoval

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.

Necessary Tension

A Dual-Evaluation Generative Design Method for Tension Net Structures

Matt Turlock & Kyle Steinfeld

The nature of design tools is related to the social relationships they serve. This paper speculates on the emergence of a new professional configuration - the synthesis of architect and engineer - and on the nature of new computational tools and methods that will be required to support such a reconfiguration. - CAADRIA

A Platform-Independent Computational Geometry Environment

Kyle Steinfeld & Joy Ko

This paper presents three strategies – host-independence, domain-specificity, and context-appropriate abstraction – for the design of a textual programming environment supporting computational architectural design that more effectively addresses the needs implied by common practices within this community.