The comfort, energy and health implications of London’s urban heat island

The urban heat island (UHI) is a well-known effect of urbanisation and is particularly important in world megacities. Overheating in such cities is expected to be exacerbated in the future as a result of further urban growth and climate change. Demonstrating and quantifying the impact of individual design interventions on the UHI is currently difficult using available software tools. The tools developed in the LUCID (‘The Development of a Local Urban Climate Model and its Application to the Intelligent Design of Cities’) research project will enable the related impacts to be better understood, quantified and addressed. This article summarises the relevant literature and reports on the ongoing work of the project.

Ontological possibilities the rethinking teaching on the "nature of science"

An extensive literature documents teachers’ failure to include ideas about the 'nature of science' (NOS) in their classroom programmes, despite widespread advocacy for this as an essential component of more inclusive science teaching. This thesis frames much of the existing NOS literature as a deficit literature that focuses on epistemology, while largely ignoring the ontological realities of the classroom and overestimating individual teacher’s agency to change their enacted curriculum. Epistemologically-focused NOS reforms are positioned as curriculum 'add-ons', which teachers are likely to ignore. A NOS focus on ontology would entail curriculum restructuring, attending first to the contexts in which scientific knowledge is produced, and the ways it acts in the world. In any case, science itself has changed in recent years. Drawing from the sociology of science, in particular the work of Bruno Latour, the thesis compares traditional philosophical thinking about the ontology of science with more recent 'networked' views. Brent Davis explains the educational implications of key ideas from complexity science. Political philosopher Stephen White adds an ethical dimension. His ideas are used to argue for replacing 'strong' ontologies of realist science with more nuanced and actively tended 'weak' ontologies, as appropriate to the rapid sociological changes of the twenty-first century. The thesis argues that epistemological uncertainties that could lead to the suspicion of relativism are potentially threatening in the classroom because of hegemonic pressures towards consensus and a certain, safe status for the knowledge taught. Seeking an alternative pathway to change, Daniel Liston’s conceptualisation of teaching as a passionate act informs the analysis of the empirical component of the thesis. Eight recipients of New Zealand Royal Society Science Teacher Fellowships were interviewed on four occasions over two years. They discussed their personal learning during a year-long sabbatical to carry out an extended science investigation and their thoughts and actions on returning to the classroom. Narrative methodology is used to explore the teachers’ stories, revealing both passion for their personal learning and an ethical concern for their students’ learning to care for both the natural world and science as a means of its investigation. The thesis argues for the use of ontological approaches to the initial introduction of NOS ideas in school science, with epistemological concepts added only once a topic has been grounded in what Latour calls 'matters of concern'.Two potential teaching strategies—the production of network diagrams and the use of Davis's 'bifurcations'as a critical inquiry tool—are the focus of hypothetical experimentation. First in the context of global warming, and then addressing the challenges posed to teaching evolution by the proponents of 'intelligent design', these strategies are shown to have the potential to address some of science education’ s thornier issues, not just the NOS question. However, when conflicting expectations create tensions for teachers in the classroom moment, it is difficult for them to introduce reflective, deeply philosophical changes to their representation of science. Their working realities need to be acknowledged, and the tensions ameliorated, if we expect substantive change in their current practice.

Vestiges

Can intelligent design be found?

Investigação e implementação de ferramentas computacionais para otimização de websites com ênfase na descrição de conteúdo

Pós-graduação em Ciência da Computação - IBILCE

Wissenschaft und Glauben bei Michael Polanyi

For Michael Polanyi, religion and science fight abreast to protect the occidental culture from totalitarian threat. Both are belief-based endeavors, Polanyi is convinced. While this is not surprising at all regarding religion, it is surely a provocation regarding science. The article tries to explore this original thought of Polanyi and to examine how it is rooted in his personal convictions and beliefs. Special emphasis is given to Polanyi’s critique of contemporary biology, as expressed in his article on “Science and Religion”, in some ways a response to Paul Tillich’s theology. Contemporary biology’s findings undermine exactly what Polanyi is fighting for, hence he is convinced that its findings are somewhat flawed. This should however not lead to the false conclusion that Polanyi had anything to do with creationism or would have favored Intelligent Design in our days.

Design optimisation using advanced artificial intelligent system coupled to hybrid-game strategies

One of the main aims in artificial intelligent system is to develop robust and efficient optimisation methods for Multi-Objective (MO) and Multidisciplinary Design (MDO) design problems. The paper investigates two different optimisation techniques for multi-objective design optimisation problems. The first optimisation method is a Non-Dominated Sorting Genetic Algorithm II (NSGA-II). The second method combines the concepts of Nash-equilibrium and Pareto optimality with Multi-Objective Evolutionary Algorithms (MOEAs) which is denoted as Hybrid-Game. Numerical results from the two approaches are compared in terms of the quality of model and computational expense. The benefit of using the distributed hybrid game methodology for multi-objective design problems is demonstrated.

A new and efficient intelligent collaboration scheme for fashion design

Technology-mediated collaboration process has been extensively studied for over a decade. Most applications with collaboration concepts reported in the literature focus on enhancing efficiency and effectiveness of the decision-making processes in objective and well-structured workflows. However, relatively few previous studies have investigated the applications of collaboration schemes to problems with subjective and unstructured nature. In this paper, we explore a new intelligent collaboration scheme for fashion design which, by nature, relies heavily on human judgment and creativity. Techniques such as multicriteria decision making, fuzzy logic, and artificial neural network (ANN) models are employed. Industrial data sets are used for the analysis. Our experimental results suggest that the proposed scheme exhibits significant improvement over the traditional method in terms of the time–cost effectiveness, and a company interview with design professionals has confirmed its effectiveness and significance.