Abstract

The theme aims to consider the evolution of design methods, processes, and outputs in relationship to the imperatives of data in design practice, and the ways in which data-integrated practices are changing the nature of design itself. The increasing availability of data and related processes due to networked artifacts, artificial intelligence, and cultural digitalization pose a significant paradigm shift for design methods, collaboration, and the scalable impact of design in the world. Discourse may consider the fact that the systematic nature of data structures pushes related design pursuits into a realm of scalable systems that exceeds the replicability of industrial production. As such, the values and ethical protocols below data-driven design activities become an increasingly important infrastructure to attend to and daylight within the design process. Papers for this track may include, but are not limited to, the following topics: Ethics of data collection and use for values-sensitive design outcomes Encountering gaps in data and the dark matter of data sets in a design setting Use of empirical and cultural data, and the ways in which design negotiates intuition and observation through the use of data Data set construction and the assembly of non-text-based data for cultural analysis and production The bridge or feedback loop between data-driven analytic and generative design processes Design methods and the integration of small data (precedent, qualitative data, etc.) vs. big data (databases, AIs, etc.) Methods and approaches to the design of digital-physical hybrids and continuously-becoming design in an era of AI and networked artifacts

Keywords

Data, Design Research

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

Research Paper

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Jun 23rd, 9:00 AM Jun 28th, 5:00 PM

Data as Design Research: Mediating Processes, Protocols, and Precedent in Practice

The theme aims to consider the evolution of design methods, processes, and outputs in relationship to the imperatives of data in design practice, and the ways in which data-integrated practices are changing the nature of design itself. The increasing availability of data and related processes due to networked artifacts, artificial intelligence, and cultural digitalization pose a significant paradigm shift for design methods, collaboration, and the scalable impact of design in the world. Discourse may consider the fact that the systematic nature of data structures pushes related design pursuits into a realm of scalable systems that exceeds the replicability of industrial production. As such, the values and ethical protocols below data-driven design activities become an increasingly important infrastructure to attend to and daylight within the design process. Papers for this track may include, but are not limited to, the following topics: Ethics of data collection and use for values-sensitive design outcomes Encountering gaps in data and the dark matter of data sets in a design setting Use of empirical and cultural data, and the ways in which design negotiates intuition and observation through the use of data Data set construction and the assembly of non-text-based data for cultural analysis and production The bridge or feedback loop between data-driven analytic and generative design processes Design methods and the integration of small data (precedent, qualitative data, etc.) vs. big data (databases, AIs, etc.) Methods and approaches to the design of digital-physical hybrids and continuously-becoming design in an era of AI and networked artifacts

 

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