A value-driven perspective to understand data-driven futures in architecture

Qabshoqa, Mohammad, Kocaturk, Tuba and Kiviniemi, Arto (2017) A value-driven perspective to understand data-driven futures in architecture. In: ShoCK! - Sharing Computational Knowledge!, 20-22 September 2017, Sapienza University of Rome, Rome, Italy.

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Abstract

This paper reports on an investigation of the potentials of data utilisation in Architecture from a value generation and business creation points of view, based on an ongoing PhD research by the first author. It is of crucial importance to, first, identify what data actually signifies for Architecture, and secondly to explore how the value obtained through data-driven approaches in other industries could potentially be transferred and applied in our professional context. These objectives have been achieved through a qualitative comparative analysis of various cases. Additionally, the paper discusses the multiplicity of factors which contribute to different interpretations and utilisation of data with reference to various value systems embedded into our profession (e.g. design as ideology, design as profession, design as service). A comparative analysis of the existing data utilisation methods in connection with various value systems provide crucial insights in order to answer the following questions: How can data assess values in architectural design/practice? How can data utilisation give way to the emergence of new values for the profession?

Keywords:Big Data in Architecture, Data-Driven Architecture Design, Data in Architecture Design, ; Computational Data Design; Digital Value in Architecture
Subjects:G Mathematical and Computer Sciences > G510 Information Modelling
K Architecture, Building and Planning > K110 Architectural Design Theory
P Mass Communications and Documentation > P110 Information Management
K Architecture, Building and Planning > K100 Architecture
Divisions:College of Arts > School of Architecture & Design > School of Architecture & Design (Architecture)
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ID Code:28826
Deposited On:03 Oct 2017 11:32

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