005 Bradley Cantrell - Machine Learning, AI, and our Responsive Ecological Future
Addressing the synthesis of computation and ecology, Bradley Cantrell develops and designs devices and infrastructures that create complex interrelationships between maintenance, evolved processes, and environmental response. This approach specifically addresses the interface between old modes of representation and direct connections to ecological processes. In collaboration with co-author Justine Holzman, Cantrell published Responsive Landscapes by Routledge in the Fall of 2015 entitled. Responsive Landscapes highlights a range of case studies in architecture, landscape architecture, computer science, and art that employ responsive technologies as mediators of landscape processes.
Cantrell’s research and teaching focuses on digital film, simulation (modeling), and responsive technologies to examine landscape form, process, and phenomenology. His work in digital representation ranges from improving the workflow of digital media in the design process, to providing a methodology for deconstructing landscape through compositing and film editing techniques. His work in media has been recognized through a range of venues and has engaged both public and private clients.
UVA School of Architecture: https://www.arch.virginia.edu/people/brad-cantrell
Podcast Website: https://deviation.us/podcast/
Apple Podcasts: https://podcasts.apple.com/us/podcast/topography/id1660417550
Full Episode on Youtube: @topography_podcast
Support on Patreon: https://patreon.com/Topography