Details of Grant 

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:	Miles, Professor J Hall, Professor EAH Simons, Dr C Noyes, Professor J
Researcher Co-Investigators:
Project Partners:
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
EPSRC Research Topic Classifications:	Design & Testing Technology Design Engineering
EPSRC Industrial Sector Classifications:	Information Technologies
Related Grants:
Panel History:
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.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Further Information:
Organisation Website:	http://www.uwe.ac.uk