DATA, MATTER, DESIGN: Strategies in Computational Design

Book Launch

Welcome and Introduction: Maria R. PERBELLINI, Dean, School of Architecture and Design, New York Institute of Technology

Organized and Moderated by: Marcella DEL SIGNORE, Director Master of Science in Architecture, Urban and Regional Design, School of Architecture and Design, New York Institute of Technology

Panelists:

• Marcella DEL SIGNORE, Director, MS in Architecture, Urban and Regional Design, School of Architecture and Design, New York Institute of Technology
• Nancy DINIZ, Course Leader, MA in Biodesign, Central Saint Martins, University of the Arts London
• Frank MELENDEZ, Assistant Professor, Bernard and Anne Spitzer School of Architecture, CCNY

Respondents:

• Randy DEUTSCH, Clinical Associate Professor, University of Illinois at Urbana-Champaign
• Jeremy EDMINSTON, Director of Master of Architecture; Associate Professor, Spitzer School of Architecture, City College of New York
• Mathew FORD, Associate Professor, School of Architecture and Design, New York Institute of Technology
• Pablo LORENZO-EIROA, Director, Master of Science in Architecture, Computational Technologies, School of Architecture and Design, New York Institute of Technology
• Shawn RICKENBACKER, Director, J. Max Bond Center, Bernard and Anne Spitzer School of Architecture, CCNY
• Allen SAYEGH, Associate Professor in Practice of Architectural Technology, Harvard Graduate School of Design
• Anthony VANKY, Assistant Professor, Urban & Regional Planning, Taubman College, University of Michigan
• Jason VAN NEST, Associate Professor, School of Architecture and Design, New York Institute of Technology

Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs.

Technological changes, through the use of computational tools and processes, have radically altered and influenced our relationship to cities and the methods by which we design architecture, urban, and landscape systems. This book presents a wide range of curated projects and contributed texts by leading architects, urbanists, and designers that transform data as an abstraction, into spatial, experiential, and performative configurations within urban ecologies, emerging materials, robotic agents, adaptive fields, and virtual constructs.

Richly illustrated with over 200 images, Data, Matter, Design is an essential read for students, academics, and professionals to evaluate and discuss how data in design methodologies and theoretical discourses have evolved in the last two decades and why processes of data collection, measurement, quantification, simulation, algorithmic control, and their integration into methods of reading and producing spatial conditions, are becoming vital in academic and industry practices.

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