Designing with data: Moving beyond the design space catalog

Nathan Brown, Caitlin Mueller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations

Abstract

Design space catalogs, which present a collection of different options for selection by human designers, have b com commonplace in architecture. Increasingly, these catalogs are rapidly generated using parametric models and informed by simulations that describe energy usage, structural efficiency, daylight availability, views, acoustic properties, and other aspects of building performance. However, by conceiving of computational methods as a means for fostering interactive, collaborative, guided, expert-dependent design processes, many opportunities remain to improve upon the originally static archetype of the design space catalog. This paper presents developments in the areas of interaction, automation, simplification, and visualization that seek to improve on the current catalog model while also describing a vision for effective computer-aided, perform nce-based design processes in the future.

Original languageEnglish (US)
Title of host publicationDisciplines and Disruption - Proceedings Catalog of the 37th Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA 2017
EditorsTakehiko Nagakura, Caitlin Mueller, Skylar Tibbits, Mariana Ibanez
PublisherACADIA
Pages154-163
Number of pages10
ISBN (Electronic)9780692965061
StatePublished - 2017
Event37th Annual Conference of the Association for Computer Aided Design in Architecture: Disciplines and Disruption, ACADIA 2017 - Cambridge, United States
Duration: Nov 2 2017Nov 4 2017

Publication series

NameDisciplines and Disruption - Proceedings Catalog of the 37th Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA 2017

Conference

Conference37th Annual Conference of the Association for Computer Aided Design in Architecture: Disciplines and Disruption, ACADIA 2017
Country/TerritoryUnited States
CityCambridge
Period11/2/1711/4/17

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'Designing with data: Moving beyond the design space catalog'. Together they form a unique fingerprint.

Cite this