Towards Radical Regeneration: Design Modelling Symposium Berlin 2022 - Brossura

Brossura

ISBN 10: 3031132513 ISBN 13: 9783031132513

Casa editrice: Springer Nature, 2023

Riassunto

This book reflects and expands on the current trends in the Architecture Engineering and Construction (AEC) industries to respond to the unfolding climate and biodiversity crisis. Shifting away from the traditional focus, narrowly centered on efficiency, the book presents a variety of approaches to move the AEC community from an approach that presents new challenges in all areas of the industry, from a linear, extractive paradigm to circular and regenerative one. The book presents contributions including research papers and case studies, providing a comprehensive overview of the field as well as perspectives from related disciplines, such as computer science, biology and material science. 

The chapter authors were invited speakers at the 8th Design Modelling Symposium “Towards Radical Regeneration”, which took place at the University of the Arts in Berlin in September 2022.

Su questo libro

Dalla quarta di copertina

This book reflects and expands on the current trends in the Architecture Engineering and Construction (AEC) industries to respond to the unfolding climate and biodiversity crisis. Shifting away from the traditional focus, narrowly centered on efficiency, the book presents a variety of approaches to move the AEC community from an approach that presents new challenges in all areas of the industry, from a linear, extractive paradigm to circular and regenerative one. The book presents contributions including research papers and case studies, providing a comprehensive overview of the field as well as perspectives from related disciplines, such as computer science, biology and material science.

The chapter authors were invited speakers at the 8th Design Modelling Symposium “Towards Radical Regeneration”, which took place at the University of the Arts in Berlin in September 2022.

Chapter “Hybrid Immediacy: Designing with Artificial Neural Networks Through Physical Concept Modelling is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3031132513
• ISBN 13: 9783031132513
• Rilegatura: Copertina flessibile
• Numero di pagine: 640
• Redattore: Gengnagel Christoph
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania