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Designing for Transitions and Transformations: resistance, recovery, reflection, and reimagination
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Review of Design Thinking and Other Approaches—How Different Disciplines See, Think and Act
No full textTowards Empowering Cohousing Communities: Finding Balance with a Group of Users-clients Throughout the Architectural Process
No full textThis paper explores the evolving role of architects in cohousing projects in response to environmental, economic, and social challenges. This research incorporates insights from semi-structured interviews in three Belgian case studies. The foundations and values of cohousing communities are tackled, highlighting shifts in architects\u27 roles and challenges in working with groups of user-clients. In these cohousing processes, we found that the representatives of these user-client groups may not always share the full breadth of their negotiations with architects. Architects seem to miss out on some of the nuances, and some participants found that this approach left their voices unheard. Amidst pragmatic concerns and other value-based issues, this paper reimagines some aspects of the ar-chitects’ role in cohousing projects. This paper aims to help architects balance stakeholders’ viewpoints within budget, timeline, practicality, and values constraints
Starting from scraps: Design reuse assessment of waste materials
No full textMaterial waste from manufacturing poses substantial challenges. European compa-nies generate more than 2.2 billion tons of waste annually. The utilization of already circulating resources plays a vital part in reducing the use of raw materials. The state-of-the-art methodology for designing from waste outlines a linear process with three phases: optimization, analysis, and design. However, there is limited un-derstanding of the critical leap from analysis to designing with waste. Considering the co-evolutionary nature of design activity, it may not be efficient to separate these stages. In fact, research states design outcome is improved when problem-solution co-evolve. This study examines the process of design material assessment performed by industrial designers and technical experts. Through observations and participatory questioning of 13 cases of waste assessment from different industries, we examine and identify four modes of inquiry: 1) primary material sorting, 2) un-derstanding material potentials, 3) identifying areas of application, and 4) value-ranking utilizations
Speculative ethics, design, philosophy & education
No full textDesigning requires great social and moral responsibility as we are surrounded by products and services that shape -and simultaneously get shaped by- the way we live. This asks for active reflection on ethical issues. However, with the classical top-down approach, ethics may be perceived as restrictive, setting boundaries for what is allowed and what not. Within philosophy of technology, ethical reflection is moving towards a more constructive approach, accompanying technological development with careful considerations. This paper takes a step further and proposes something that could be called \u27creative ethics\u27, where a bottom-up approach in dealing with ethical issues fosters inspiration and imagination for desirable futures. This is illustrated with a case study on designing gender-neutral toilet facilities with students from the University of Antwerp and Saxion University of Applied Sciences. The resulting speculative designs open up the discussion about human values, personal identity and how we relate to each other
Facebook Data Shield: An interactive tangible interface for user data control
No full textSocial media platforms like Facebook utilize AI algorithms to personalize content based on user data, raising concerns about data privacy and transparency. We introduce the Facebook Data Shield (FDS), a life-sized interactive installation that empowers users to visualize and control the data shared with the platform. We deployed FDS at a public design event, to explore user data-sharing and control preferences. We conducteded an analysis of 81 user interactions, based on data logs and surveys. Our findings reveal a preference for increased data control, particularly concerning online behavior and demographics. We identify five distinct clusters for preferred data-sharing settings, which show limited correlation with demographic information. Finally, we discuss the potential for predicting preferred data-sharing settings through machine learning based on our data, and implications for social media platform design. This study contributes to the ongoing discourse on data governance and user autonomy in an era of AI-driven content curation