Shelby Elizabeth Doyle

Under Construction


Design & Research
American Wild
Computation & Construction Lab
Both/And: Fabricating Potentials
Exhibit Columbus - Installation
Exhibit Columbus - Exhibition
Melting - Water Soluble Formwork 
Re-Ordering Architecture
SEKI Collection

AI, Computation, & Feminism

ACADIA Cultural History Project
AI... To Be Determined
Equity in Computing
Future of Generative AI
Gradient: Authorial Asymmetries
Verbatim:  Archives, Access, and
Other Myths

Workshops & Residencies

Autodesk Build Space Grant
Architecture Ceramic Assemblies Workshop
Cyborg Sessions
Eventscape - Sikacrete - AIA NYC WIA
Haystack Fab Lab Residency
Haystack Open Studio Residency

Teaching: Research and Outreach

80/35 Pavilion 
Digital Clay
IM_RU v2.0

Teaching: Fabrication

Integrated Studio Bachelor of Architecture
Introduction to Digital Fabrication
Introduction to Architectural Robotics
Computation & Weaving: Seminar in Fabricating Tools
Undergraduate Independent Study Projects
Master of Science Thesis Projects


City of Water: Architecture, Infrastructure, & the Floods of Phnom Penh
Losing Ground
Mekong Flux
Mekong Studio & Exhibition
Related Courses
Shifting Foundations
Urban Lab Phnom Penh
Water Curse or Blessing Exhibition
Water, Politics + Art Exhibition



The AEC Industry and Generative AI: Navigating Through Opportunities and Challenges

Interview with Cornell Tech Jacob Technion-Cornell Institute

See also:
Dream World: Three experts discuss Midjourney’s promise and pitfalls
Sheby Doyle, Andrew Kudless, and Kory Bieg
Architect’s Newspaper interview with Jack Murphy September 22, 2023


The world of digital creation is being redefined by Generative AI (GAI), a groundbreaking class of tools that has captivated both creators and consumers. At the forefront of this revolution are Large Language Models (LLMs) like GPT-4, renowned for their versatility in natural language processing, machine translation, and content creation, including novel works and even software code. Since its introduction, GAI has surged in popularity, with products like ChatGPT setting records in user growth. Similarly, image generators such as OpenAI’s DALL-E and Stability AI’s Stable Diffusion are redefining artistic expression, blurring the lines between AI-generated images and human-created art.

These advancements are built on the deep learning revolution, utilizing immense datasets to teach algorithms complex patterns through unsupervised learning. This has led to foundation models with unprecedented sophistication, sparking significant global interest across various sectors, including politics, culture, and industry. Yet, as GAI’s capabilities expand, so do the concerns and responses from industries and unions like SAG-AFTRA and WGA, emphasizing the need for thoughtful integration and ethical considerations in GAI deployment.

In the realm of architecture, engineering, and construction (AEC), GAI presents both transformative opportunities and complex challenges. Prompted by this, the Innovation Design Consortium (IDC) teamed up with the Jacobs Urban Tech Hub to explore GAI’s future implications. Our report, written by urban tech fellow Greg Lindsay and urbanist-in-residence Anthony Townsend, offers an overview of GAI’s potential impact on the AEC industry.

The report includes in-depth interviews with the following leaders in the field: