What is it about?
It is proposed that the quantity of data that is collected about individuals is becoming large enough to qualify as big data, despite only pertaining to a single person. It has all the hallmarks of the big data phenomenon, namely large and diverse fields which with the help of machine learning and cross-referencing can uncover unforeseen patterns. This paper explores how personal big data could be used, with the potential to impact future architectural workflows. We present ways that personal data can be used to develop special connections for architectural design processes.
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Why is it important?
By comparing multiple single-person data sets two key issues are presented; sourcing relevant data and three-dimensionalizing this data with a particular focus on connections. The research offers an insight into the future of data as an instrument to aid architectural design processes.
Perspectives
We have shown that social media-based data focused on individuals could be incorporated into the architectural workflow. Explorative pilot experiments of individual’s data being used to generate spatial expressions have been conducted. Generating the initial expressions of form from an abstract and original basis is a key step towards adding new instruments to the architectural workflow. The addition of more data sources and a more complex understanding of the data itself will allow having a wider-reaching and more direct impact on architectural design processes.
Professor Marc Aurel Schnabel
Xi'an Jiaotong Liverpool University
Read the Original
This page is a summary of: Big data on individuals in the architectural design process: combining individual’s data with the architects toolset, International Journal of Parallel Emergent and Distributed Systems, October 2017, Taylor & Francis,
DOI: 10.1080/17445760.2017.1390091.
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