Collective data-based drawings

Q4 Engineering Spool Pub Date : 2023-12-24 DOI:10.47982/spool.2023.1.06
Rubén Valdez, Lucía Jalón Oyarzun, Dieter Dietz, Malcolm Onifade, Aurèle Pulfer
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Abstract

The laboratory ALICE (Atelier de la Conception de l’Espace) at the École Polytechnique Fédérale de Lausanne (EPFL) advances a comprehensive approach to data-based drawing oriented towards architectural and urban co-design processes. This drawing methodology has been key in the contributive design process they have applied over the last seven years, covering a range of scales and contexts, both within the public and private spheres.  Contribution has become a relational strategy that unites a diverse range of participants, each hailing from various backgrounds and carrying unique needs, which come together around the drawing. For this reason, the cultivation of a robust drawing culture, from their teaching to their research and design activities, has become a cornerstone of ALICE’s philosophy, where drawing is embraced not merely as a representational tool but as a constructive means for design work. Their methodology has now evolved to include data-based drawing techniques, skillfully merging precise surveying with qualitative data analysis, thereby bridging the gap between quantitative and qualitative facets of design. This article explains this data-based approach to drawing through a series of projects developed in the Greater Geneva region. Throughout them, they explain how ALICE’s situated data-based drawings facilitate intricate coordination among students, leading to real-scale interventions; explore the potential of transforming main roads into landscape infrastructures that promote sustainable mobility and urban development; or offer an innovative lens to comprehend the affective connections between citizens and their urban surroundings, transcending traditional cartographic representations. Finally, these efforts are summarised through the analysis of a single drawing showcased at the 2021 Venice Biennale, illustrating the potential of this methodology to harmonize the collective efforts of various stakeholders.
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基于数据的集体绘图
洛桑联邦理工学院(EPFL)的 ALICE 实验室(空间构想工作室)针对建筑和城市协同设计过程,提出了一种基于数据的综合绘图方法。这种绘图方法是他们在过去七年中应用的贡献式设计过程的关键,涵盖了公共和私人领域的各种规模和环境。 贡献已成为一种关系策略,它将来自不同背景、怀揣独特需求的各类参与者团结在一起,围绕着图纸展开工作。因此,从教学到研究和设计活动,培养浓厚的绘画文化已成为 ALICE 理念的基石。现在,他们的方法论已发展到包括基于数据的绘图技术,巧妙地将精确测量与定性数据分析结合起来,从而弥合了设计的定量和定性方面的差距。本文通过在大日内瓦地区开展的一系列项目,解释了这种基于数据的绘图方法。在这些项目中,他们解释了 ALICE 基于数据的情景绘图如何促进学生之间的复杂协调,从而实现实际规模的干预措施;如何探索将主干道改造成景观基础设施的潜力,以促进可持续的流动性和城市发展;或者如何提供一个创新的视角,以理解市民与其城市环境之间的情感联系,从而超越传统的制图表述。最后,通过对 2021 年威尼斯双年展上展出的一幅图纸的分析,对这些努力进行了总结,说明了这种方法在协调各利益相关方的集体努力方面所具有的潜力。
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来源期刊
Spool
Spool Engineering-Architecture
CiteScore
0.40
自引率
0.00%
发文量
0
审稿时长
21 weeks
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