Weighted Dynamic Networks. Digital multiscale and time responsive design techniques

  • Caterina Tiazzoldi Rhode Island School of Design
Keywords: weighted dynamical networks, type, multiscale, classifier, coworking


In a complex structured city, where the interactions between parts intensify, the number of decision-makers and cultural scenarios overlap, interconnect (and sometimes collide), where local and global as well as physical and virtual dimensions coexist, it is necessary to identify a set of design tools which could adapt to different scales of the intervention of the modern city. The essay proposes a multiscalar and time-sensitive Weighted Networks Design methodology. Originally developed by the author as director of the Research Lab Non-Linear Solutions Unit at Columbia University, the WDN methodology has been implemented by the author herself in a series of multiscale case studies in the professional and academic environment along over the last 20 years.

Author Biography

Caterina Tiazzoldi, Rhode Island School of Design

PhD and Master of Science in Architectural Design at Columbia University, she is an Adjunct Professor at the Rhode Island School of Design (US). She is the former co-Founder and Director (from 2005 to 2015) of the Research Lab of Non-Linear Solutions Unit at Columbia University. She won the Architecture Rivelate Award and was a finalist at the Renzo Piano Award for a Young Italian Architect. Her interests focus on the cross-pollination between architecture, sciences and social innovation, time responsive architectural design, typological innovation, and resilience in architectural design methodology.
E-mail: caterina@tiazzoldi.org


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Weighted Dynamic Networks (WDN) translating vectors and movements into ‘Social Cave’ spaces (credit: C. Tiazzoldi and GSAPP, 2011). AGATHÓN 7 | 2020
How to Cite
Tiazzoldi, C. (2020) “Weighted Dynamic Networks. Digital multiscale and time responsive design techniques”, AGATHÓN | International Journal of Architecture, Art and Design, 7(online), pp. 190-201. doi: 10.19229/2464-9309/7202020.
Design | Research & Experimentation
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