Although the idea of linking a shape grammar to a genetic algorithm is not new, this paper proposes a novel way of combining these two elements in order to provide a tool that can be used for design exploration. Using a shape grammar for design generation provides a way of creating a range of potential solutions to a design problem which fit with the designer's stylistic agenda. A genetic algorithm can then be used to take these designs and develop them into a much richer set of solutions which can still be recognised as part of the same family. By setting quantifiable targets for design performance, the genetic algorithm can evolve new designs which exhibit the best features of previous generations. The designer is then presented with a wide range of high scoring solutions and can choose which of these to take forward and develop in the conventional manner. The novelty of the proposed approach is in the use of a shape code, which describes the steps that the shape grammar has taken to create each design. The genetic algorithm works on this shape code by applying crossover and mutation in order to create a range of designs that can be tested. The fittest are then selected in order to provide the genetic material for the next generation. A prototype version of such a program, called Shape Evolution, has been developed. In order to test Shape Evolution it has been used to design a range of apartment buildings which are required to meet certain performance criteria.

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Computers are now used routinely to create high-quality images of proposed buildings but the extent to which these images are contributing to the quality of the final product remains questionable.

Computer models of entire cities are becoming increasingly common. The uses to which these models are put are varied and include the visualisation of proposed changes, the marketing of the facilities a city has to offer, and the mapping of socio-economic data. Developments with the Internet mean that city models can be widely accessed and it is now possible to both construct and view these models on personal computers. This paper discusses some issues relating to the construction and use of large urban models and draws upon the authors' experience of constructing one for the City of Bath.

As new environmental exposures are continuously identified, environmental influences on health are of growing concern. Knowledge regarding the impacts of environmental exposures is constantly evolving and is often incomplete. In this paper, we describe a multi-phased, multi-stakeholder engagement initiative involving diverse stakeholders with an interest in building a children's environmental health research agenda which would link with and support local practices and policies. The intent of this initiative was to identify priority research issues, themes and questions by implementing a tested Research Planning Model that encompassed the engagement of diverse stakeholders. Here, we describe the model application, which was specifically focused on children's health and the environment. A key component of the model was the ongoing stakeholder engagement process. This included two stakeholder forums, during which participants identified three main research themes (social determinants of health, environmental exposures and knowledge translation) and a short list of research questions. Other key components of the model included the development of a Global Sounding Board of key stakeholders, an Advisory Board and a Scientific Panel with mandates to review and prioritise the research questions. In our case, the Advisory Board and Scientific Panel prioritised questions that focused on environmental exposures related to children's respiratory outcomes. The stakeholder engagement described here is an evolving process with frequent changes of context, sustained by the commitment and dedication of the Children's Environment and Health Research planning team and the Advisory Board. In this article, we share the engagement process, outcomes, successes, challenges and lessons learned from this ongoing experience. Keywordsstakeholder engagement, children's health, environmental health, health research