Near Living Architecture
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Toward a Living Architecture?
Author: Christina Cogdell
language: en
Publisher: U of Minnesota Press
Release Date: 2019-01-01
A bold and unprecedented look at a cutting-edge movement in architecture Toward a Living Architecture? is the first book-length critique of the emerging field of generative architecture and its nexus with computation, biology, and complexity. Starting from the assertion that we should take generative architects’ rhetoric of biology and sustainability seriously, Christina Cogdell examines their claims from the standpoints of the sciences they draw on—complex systems theory, evolutionary theory, genetics and epigenetics, and synthetic biology. She reveals significant disconnects while also pointing to approaches and projects with significant potential for further development. Arguing that architectural design today often only masquerades as sustainable, Cogdell demonstrates how the language of some cutting-edge practitioners and educators can mislead students and clients into thinking they are getting something biological when they are not. In a narrative that moves from the computational toward the biological and from current practice to visionary futures, Cogdell uses life-cycle analysis as a baseline for parsing the material, energetic, and pollution differences between different digital and biological design and construction approaches. Contrary to green-tech sustainability advocates, she questions whether quartzite-based silicon technologies and their reliance on rare earth metals as currently designed are sustainable for much longer, challenging common projections of a computationally designed and manufactured future. Moreover, in critiquing contemporary architecture and science from a historical vantage point, she reveals the similarities between eugenic design of the 1930s and the aims of some generative architects and engineering synthetic biologists today. Each chapter addresses a current architectural school or program while also exploring a distinct aspect of the corresponding scientific language, theory, or practice. No other book critiques generative architecture by evaluating its scientific rhetoric and disjunction from actual scientific theory and practice. Based on the author’s years of field research in architecture studios and biological labs, this rare, field-building book does no less than definitively, unsparingly explain the role of the natural sciences within contemporary architecture.
The Routledge Companion to Biology in Art and Architecture
The Routledge Companion to Biology in Art and Architecture collects thirty essays from a transdisciplinary array of experts on biology in art and architecture. The book presents a diversity of hybrid art-and-science thinking, revealing how science and culture are interwoven. The book situates bioart and bioarchitecture within an expanded field of biology in art, architecture, and design. It proposes an emergent field of biocreativity and outlines its historical and theoretical foundations from the perspective of artists, architects, designers, scientists, historians, and theoreticians. Includes over 150 black and white images.
Co-Corporeality of Humans, Machines, & Microbes
On architecture, AI, and microbiology The theory of Co-Corporeality is based on a conception of the built environment as a biological entity that opens up a space for coexistence and interaction between humans and microbial life. Based on design-led research, this book explores how we can develop environments for a multispecies world. It focuses on the agency of both human and nonhuman actors. New sensor tools enable observation of and interaction between these different actors. Co-Corporeality links microbiology to material science, artificial intelligence, and architecture. The focus is on how microbial activity can create new protoarchitectural materials, how living systems can be integrated into architecture and cooperate along different time scales. How artistic interventions connect human and nonhuman worlds through tracking systems and machine learning algorithms With essays by Rachel Armstrong, Alex Arteaga, Philip Beesley, Jens Hauser, and others Images of experiments and installations