EPSRC Reference: |
EP/C003942/1 |
Title: |
Discovery in Design: People-Centred Computational Environments - A Designing for the 21st Century Research Cluster |
Principal Investigator: |
Parmee, Professor IC |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Faculty of Environment and Technology |
Organisation: |
University of the West of England |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
09 March 2005 |
Ends: |
08 March 2006 |
Value (£): |
50,872
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EPSRC Research Topic Classifications: |
Design & Testing Technology |
Design Engineering |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
Current Computer-aided Design tools largely support the later, well-defined stages of design where the deign product is physical, tangible and comprehensible. However, abstract concept formulation, where uncertainty is prevalent, is more poorly supported. The cluster will identify human-centred computational research issues that have the potential to redress this imbalance. The strength of the cluster lies in the collaboration of seemingly disparate disciplines that require a common core expertise to aid discovery. New collaborations across engineering design, compound and drug design, software engineering design, biosensor and material design and graphical design will provide a basis for the study. The proposal concerns people-centred issues relating to computational aspects of concept representation and simulation; design space search and exploration; data mining and processing; intelligent systems; machine-based enabling and bridging technologies; information visualization and presentation. The utility of established and emerging computational intelligence plus enabling computational technologies will be investigated across a diverse set of design domains to identify relevant synergies and peculiarities. Views and approaches from practitioners and researchers that are not normally considered in the same time-frame and context will be investigated. Human-computer interaction and cognitive aspects will include assimilation of information relating to multi-variate and multi-criteria relationships; knowledge extraction and knowledge capture; subjective solution evaluation; implicit learning and tacit knowledge.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.uwe.ac.uk |