Interdisciplinarity: Creativity in Collaborative Research Approaches to Enhance Knowledge Transfer

Coulter, J. Eric

doi:10.1007/978-3-642-34219-6_19

Cited by 4 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, interdisciplinary work can often present challenges and conflicts among stakeholders [62]. According to Coulter [64], cases of successful collaborations between fashion design-based disciplines and more scientific disciplines such as engineering are limited. The author attributes this to variation in how results are measured and reported in each discipline.…”

Section: The Role Of Designers In Functional Children's Fashionmentioning

confidence: 99%

Children’s Functional Clothing: Design Challenges and Opportunities

Santiago,

Cabral,

Cunha

2024

Applied Sciences

View full text Add to dashboard Cite

Functional textiles and clothing designed for children should provide a safe and supportive environment, encompassing comfort, safety, health, wellbeing, and cognitive development, as well as fostering interaction and exploration. This study explores the multifaceted nature of functional textiles and clothing for children. It emphasises the importance of comprehensive knowledge about the user and an interdisciplinary approach in the design process. The integration of expertise from diverse fields contributes to a holistic understanding of the challenges and opportunities inherent in creating clothing that satisfies aesthetic demands and promotes the wellbeing of children. Through a study of existing research in functional textiles and a market analysis of children’s clothing, this research underscores the importance of practical application of studied materials and technologies in children’s fashion, creating innovative and purposeful solutions. This collaborative effort involves working with multidisciplinary teams and applying designers’ updated knowledge of functional materials throughout all stages of the design process. The study emphasises the designer’s responsibility in articulating the essential knowledge needed to integrate functionality from the beginning of the design process, ensuring that practical considerations are integral to the core attributes of the clothing. The study also proposes a framework that represents the design process for functional children’s clothing.

show abstract

Section: The Role Of Designers In Functional Children's Fashionmentioning

confidence: 99%

Children’s Functional Clothing: Design Challenges and Opportunities

Santiago,

Cabral,

Cunha

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Interdisciplinary and collaborative approaches have been proven to generate opportunities for creating and transferring new knowledge, even beyond the academic borders (Coulter, 2013). The potential of the ML tools to help open a research process to a wider audience and to contribute to more transparent sense-making processes is high in our view.…”

Section: Outlook and Future Researchmentioning

confidence: 99%

An Exploration of the Potential of Machine Learning Tools for Media Analysis to Support Sense-Making Processes in Foresight

et al. 2022

View full text Add to dashboard Cite

In view of the many discussions about uncertainty regarding the further development of the coronavirus disease 2019 (COVID-19) pandemic and its effects on the economy and society, we observed that the crisis led to an increased presence of individual researchers and experts making forward-looking statements on the impacts of the COVID-19 pandemic or stating trends in mass media publications. From a strategic foresight research perspective, there is a need to further analyse an increase of future-oriented expert statements in public media in a context of high uncertainty like the impacts of the COVID-19 pandemic and related crises. Given the increasing amount of media texts available for web-based scanning and text analysis, Machine Learning (ML) is a promising approach for text analysis of big data, which also raises high expectations in the field of foresight, particularly in the context of scoping and scanning activities for weak signal detection and text analysis for sense-making processes. In this study, we apply a natural language processing (NLP)-based ML approach to analyse a large corpus of news articles from web sources to explore the potential of applied ML to support sense-making in the field of foresight, specifically for the analysis of future-related statements or predictive statements in media. The results underline the potential of ML approaches as a heuristic tool to support sense-making in foresight processes and research, particularly by pre-structuring large datasets (e.g., news articles around a particular topic of public debate). The ML can provide additional insights for actor analysis associated with a specific topic of public debate from a large data corpus. At the same time, our results show that ML models are limited in their ability to provide solid evidence and that they can also lead to fallacies. Therefore, an ML can only be considered as a heuristic tool supporting specific steps in a sense-making process and development of further research questions, as well as encouraging reflection on the application of ML-based approaches in foresight.

show abstract

“…Whilst the largest percentage of KTP projects are in partnership with engineering schools they have now been adopted by other disciplines including business and design schools, however according to data available on the KTP Portal only 4% of all KTP projects have been in collaboration with university design departments. As such there is limited data available on the success of design KTP projects (particularly within the fashion and textile design specialism) highlighted by Coulter who recognises that the qualitative measuring and empirical outcomes of non-scientific methodologies is distinctly different to those within the science disciplines [17]. Reflecting on the experiences of the Associate working on the project provided a framework within which to assess the impact and benefits of the case study in relation to developing the skills needed for graduates within the 21 st Century.…”

Section: Collaboration Between University and Industrymentioning

confidence: 99%

Enhancing 21st Century Interdisciplinary Design Skills within Higher Education through Knowledge Transfer Partnerships

Steed¹,

Gair²

2020

Proceedings of the 22nd International Conference on Engineering and Product Design Education

View full text Add to dashboard Cite

This paper examines how Knowledge Transfer Partnerships (KTPs), a UK, part government-funded programme can be actively used to support curriculum development across design against the needs for new graduate knowledge skills, through greater collaboration, dialogue and understanding between academia and business. The paper discusses a recent KTP with a Scottish textile manufacturer where support in design innovation through the embedding of a recent design graduate within the company enabled diversification of their brand portfolio from the oil and gas market into the premium fashion market. The authors (the academic supervisor and the graduate designer) reflect and shareas a case studythe collaborative project, that led to significant insights into the needs of graduates when working within an interdisciplinary working environment across industry and academia. Further, the paper goes on to demonstrate that industrial contexts can be successfully replicated through knowledge exchange collaboration between business and academia to inform the curriculum against the graduate competencies and skills required within industry relevant to the 21 st Century workplace.

show abstract

Interdisciplinarity: Creativity in Collaborative Research Approaches to Enhance Knowledge Transfer

Cited by 4 publications

References 28 publications

Children’s Functional Clothing: Design Challenges and Opportunities

Children’s Functional Clothing: Design Challenges and Opportunities

An Exploration of the Potential of Machine Learning Tools for Media Analysis to Support Sense-Making Processes in Foresight

Enhancing 21st Century Interdisciplinary Design Skills within Higher Education through Knowledge Transfer Partnerships

Contact Info

Product

Resources

About