A Future of Computational Collaborators: Machine Learning and Artificial Intelligence in Landscape Architecture - 1.0 PDH (LA CES/non-HSW)

Recorded On: 10/29/2023

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The role of machine learning and artificial intelligence (AI) in the design profession is quickly evolving, creating challenges for landscape architects. The session will provide a historical context that has led to the current uses of AI, explore the ethical and technical issues associated with AI, and provide a lens on its future applications.

Learning objectives:

  • Understand the origins and history of AI and machine learning that has led to their current uses in the design fields.
  • Explore the complex ethical issues when utilizing automated technologies.
  • Explore examples from practice that are currently using machine learning within the discipline.
  • Understand the possible future uses, applications, and benefits of AI and machine learning.

Bradley Cantrell, ASLA

Professor and Chair

University of Virginia

Bradley is the Chair and Professor of Landscape Architecture at the University of Virginia. He has held academic appointments at the Harvard Graduate School of Design, The Rhode Island School of Design, and the Louisiana State University Robert Reich School of Landscape Architecture. His work in Louisiana over the past decade points to a series of methodologies that develop modes of modeling, simulation, and embedded computation that express and engage the complexity of overlapping physical, cultural, and economic systems. He won the 2012 ASLA Award of Excellence as co-author of Digital Drawing for Landscape Architecture.

Adam Mekies, ASLA, PLA

Senior Project Manager

Sherwood Design Engineers

Adam is a licensed and practicing landscape architect with over 10 years national and international experience as a landscape architect, contractor, project manager, and presented at past ASLA conferences. He is also co-author, with Professor Bradley Cantrell, of the seminal book “Codify: Parametric and Computational Design in Landscape Architecture.” The book explores the implications of new technologies and computational algorithms in the urban environment and technology applications. He has a Bachelor from Iowa State and Masters in Urban Design from Harvard Graduate School of Design.

Anya Domlesky, ASLA

Director of Research

SWA Group

Anya Domlesky is an urban designer and landscape architect currently the Director of Research at SWA Group. She runs XL Lab, the firm’s innovation lab undertaking practice-based research. The lab explores near future conditions in the built environment, performs analyses of design performance, experiments with new technologies to create tools for the field, and does topical investigations that address emerging complexities and unprecedented challenges. As a designer, she has worked largely on issues around urbanization, coasts, and water. She holds an MLA from the Harvard Graduate School of Design and an M.Arch II from McGill University.


Video: A Future of Computational Collaborators: Machine Learning and Artificial Intelligence in Landscape Architecture - 1.0 PDH (LA CES/non-HSW)
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10 Questions  |  Unlimited attempts  |  8/10 points to pass
10 Questions  |  Unlimited attempts  |  8/10 points to pass Successful completion of this quiz is required to earn PDH for this webinar.
1.00 PDH credit  |  Certificate available
1.00 PDH credit  |  Certificate available
8 Questions
Session Guide
Open to download resource.
Open to download resource.