Research through co-design
Research Through Design (RTD) needs to reconsider the meaning of “designing” in the research process of “through design.” We propose Research Through Co-design (RTC) as a new application of Control System Theory (CST) that includes a research problem assigned to a co-design process in RTD. It embeds...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2024-01-01
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| Series: | Design Science |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2053470123000355/type/journal_article |
| _version_ | 1797354957381304320 |
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| author | Daniele Busciantella-Ricci Sofia Scataglini |
| author_facet | Daniele Busciantella-Ricci Sofia Scataglini |
| author_sort | Daniele Busciantella-Ricci |
| collection | DOAJ |
| description | Research Through Design (RTD) needs to reconsider the meaning of “designing” in the research process of “through design.” We propose Research Through Co-design (RTC) as a new application of Control System Theory (CST) that includes a research problem assigned to a co-design process in RTD. It embeds the participatory paradigm through collaborative design practice and makes the research a collaborative process for learning from all the participants. To sustain the RTC theory, we present a cognitive model of RTC. It is a “model for” – rather than a “model of” – describing how the co-design, as a neural network process, works through its nodes’ collaboration to find co-designed solutions and the research answer. Diversity increases as non-experts and non-designers with different backgrounds participate. This is valuable for the RTC learning system. The discussions highlight the possibility of considering (i) the RTC model as useful for describing a robust RTD process through CST; (ii) RTC as a cognitive model for explaining the value of co-design in research processes; and (iii) RTC as a strategy for applying the participative paradigm in formal research. Finally, new insights and implications are highlighted, including using RTC as a predictive tool through artificial intelligence. |
| first_indexed | 2024-03-08T13:57:19Z |
| format | Article |
| id | doaj.art-8f060c29954945d3be9876d61ee3cfd3 |
| institution | Directory Open Access Journal |
| issn | 2053-4701 |
| language | English |
| last_indexed | 2024-03-08T13:57:19Z |
| publishDate | 2024-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Design Science |
| spelling | doaj.art-8f060c29954945d3be9876d61ee3cfd32024-01-15T10:52:32ZengCambridge University PressDesign Science2053-47012024-01-011010.1017/dsj.2023.35Research through co-designDaniele Busciantella-Ricci0https://orcid.org/0000-0002-6415-4303Sofia Scataglini1Innovation in Design & Engineering (IDEE) Laboratory, Department of Architecture (DIDA), University of Florence, Florence, ItalyDepartment of Product Development, Faculty of Design Sciences, University of Antwerp, Antwerp, BelgiumResearch Through Design (RTD) needs to reconsider the meaning of “designing” in the research process of “through design.” We propose Research Through Co-design (RTC) as a new application of Control System Theory (CST) that includes a research problem assigned to a co-design process in RTD. It embeds the participatory paradigm through collaborative design practice and makes the research a collaborative process for learning from all the participants. To sustain the RTC theory, we present a cognitive model of RTC. It is a “model for” – rather than a “model of” – describing how the co-design, as a neural network process, works through its nodes’ collaboration to find co-designed solutions and the research answer. Diversity increases as non-experts and non-designers with different backgrounds participate. This is valuable for the RTC learning system. The discussions highlight the possibility of considering (i) the RTC model as useful for describing a robust RTD process through CST; (ii) RTC as a cognitive model for explaining the value of co-design in research processes; and (iii) RTC as a strategy for applying the participative paradigm in formal research. Finally, new insights and implications are highlighted, including using RTC as a predictive tool through artificial intelligence.https://www.cambridge.org/core/product/identifier/S2053470123000355/type/journal_articleResearch Through DesignResearch Through Co-designCo-designResearch-oriented co-designControl System TheoryCo-creation of knowledge |
| spellingShingle | Daniele Busciantella-Ricci Sofia Scataglini Research through co-design Design Science Research Through Design Research Through Co-design Co-design Research-oriented co-design Control System Theory Co-creation of knowledge |
| title | Research through co-design |
| title_full | Research through co-design |
| title_fullStr | Research through co-design |
| title_full_unstemmed | Research through co-design |
| title_short | Research through co-design |
| title_sort | research through co design |
| topic | Research Through Design Research Through Co-design Co-design Research-oriented co-design Control System Theory Co-creation of knowledge |
| url | https://www.cambridge.org/core/product/identifier/S2053470123000355/type/journal_article |
| work_keys_str_mv | AT danielebusciantellaricci researchthroughcodesign AT sofiascataglini researchthroughcodesign |