Wanderer beyond game worlds

We discuss issues and opportunities for designing experiences with 3D simulations of nature where the landscape and the interactant engage in an equitable dialogue. We consider the way digital representations of the world and design habits tend to detach from corporeal dimensions in experiencing the natural world and perpetuate motifs in games that reflect taming, territorializing or defending ourselves from nature. We reflect on the Digital Songlines project, which translates the schema of indigenous people to construct a natural environment, and the inherent difficulty in cross-culturally representing inter-connectedness. This leads us to discuss insights into the use of natural features by western people in cultural transmission and in their experiences in natural places. We propose McCarthy and Wright's dialogical approach may reconcile conceptions of place and self in design and conclude by considering experiments in which designers digitally reconstruct their own corporeal experience in natural physical landscape.

Narrative on the "Compliance and Regulatory Journal" : past, present and future

A conversation over a cup of coffee in late 2005 between Australasian Compliance Institute members Bill Dee and Dr Len Gainsford quickly turned to previously unsuccessful attempts to start a professional journal about compliance. There were two main issue - the difficultly in getting a professional journal off the ground and then sustaining a continuous flow of quality contributions. As practitioners, Bill and Len knew there was a considerable amount of 'thought and practice leadership' compliance material out there but they also knew that such material had not been presented in a relevant and interesting way. A foolish thought arose - could we start a professional journal that practitioners might actually read and use?

A framework guiding critical thinking through reflective journal documentation: A Middle Eastern experience

The purpose of this paper is to present a framework to guide critical thinking through reflective journaling, and describe how a group of 20 Middle Eastern nurses used reflective journaling to enhance their practice. Journal documentation was used during clinical practicum to foster the development of critical thinking in order to assist nurses when analysing and evaluating their clinical experiences. The findings from this study demonstrated that nurses accepted the framework for journal documentation because it provided structure for reflection, speculation, synthesis and metacognition of events experienced during clinical practice. Journaling gave nurses the opportunity to transfer thoughts onto paper and write down subjective and objective data, and created dialogue between the nurse educators and nurses. They were engaged in productive and positive activity to enhance their nursing practice. Nurses also commented that writing helped to develop their confidence in writing English.

Thinking Collaboratively about the Peer-Review Process for Journal- Article Publication

In this conversation, Kevin K. Kumashiro shares his reflections on challenges to publishing anti-oppressive research in educational journals. He then invites eight current and former editors of leading educational research journals--William F. Pinar, Elizabeth Graue, Carl A. Grant, Maenette K. P. Benham, Ronald H. Heck, James Joseph Scheurich, Allan Luke, and Carmen Luke--to critique and expand on his analysis. Kumashiro begins the conversation by describing his own experiences submitting manuscripts to educational research journals and receiving comments by anonymous reviewers and journal editors. He suggests three ways to rethink the collaborative potential of the peer-review process: as constructive, as multilensed, and as situated. The eight current and former editors of leading educational research journals then critique and expand Kumashiro's analysis. Kumashiro concludes the conversation with additional reflections on barriers and contradictions involved in advancing anti-oppressive educational research in educational journals. (Contains 3 notes.)

A discussion of the research performance evaluation in building and construction management discipline : the journal impact factors and SCI-index journals

The trend of diminished funding, demands for greater efficiency and higher public accountability have led to a rapid expansion of interest in the bibliometric assessment of research performance of universities. A pilot research is conducted to provide a preliminary overview of the research performance of the building and construction schools or departments through the analysis of bibliometric indicators including the journal impact factor (JIF) published by Institute for Scientific Information (ISI). The suitability of bibliometric evaluation approaches as a measure of research quality in building and construction management research field is discussed.

Making space and place for the knowledge economy : knowledge-based development of Australian cities

The impact of what has been broadly labelled the knowledge economy has been such that, even in the absence of precise measurement, it is the undoubted dynamo of today’s global market, and an essential part of any global city. The socio-economic importance of knowledge production in a knowledge economy is clear, and it is an emerging social phenomenon and research agenda in geographical studies. Knowledge production, and where, how and by whom it is produced, is an urban phenomenon that is poorly understood in an era of strong urbanisation. This paper focuses on knowledge community precincts as the catalytic magnet infrastructures impacting on knowledge production in cities. The paper discusses the increasing importance of knowledge-based urban development within the paradigm of the knowledge economy, and the role of knowledge community precincts as instruments to seed the foundation of knowledge production in cities. This paper explores the knowledge based urban development, and particularly knowledge community precinct development, potentials of Sydney, Melbourne and Brisbane, and benchmarks this against that of Boston, Massachusetts.

Learning the kernel matrix with semidefinite programming

Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is performed implicitly, by specifying the inner products between each pair of points in the embedding space. This information is contained in the so-called kernel matrix, a symmetric and positive semidefinite matrix that encodes the relative positions of all points. Specifying this matrix amounts to specifying the geometry of the embedding space and inducing a notion of similarity in the input space - classical model selection problems in machine learning. In this paper we show how the kernel matrix can be learned from data via semidefinite programming (SDP) techniques. When applied to a kernel matrix associated with both training and test data this gives a powerful transductive algorithm -using the labeled part of the data one can learn an embedding also for the unlabeled part. The similarity between test points is inferred from training points and their labels. Importantly, these learning problems are convex, so we obtain a method for learning both the model class and the function without local minima. Furthermore, this approach leads directly to a convex method for learning the 2-norm soft margin parameter in support vector machines, solving an important open problem.

Rademacher and Gaussian complexities: Risk bounds and structural results

We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we prove general risk bounds in terms of these complexities. We consider function classes that can be expressed as combinations of functions from basis classes and show how the Rademacher and Gaussian complexities of such a function class can be bounded in terms of the complexity of the basis classes. We give examples of the application of these techniques in finding data-dependent risk bounds for decision trees, neural networks and support vector machines.

Adaboost is consistent

The risk, or probability of error, of the classifier produced by the AdaBoost algorithm is investigated. In particular, we consider the stopping strategy to be used in AdaBoost to achieve universal consistency. We show that provided AdaBoost is stopped after n1-ε iterations---for sample size n and ε ∈ (0,1)---the sequence of risks of the classifiers it produces approaches the Bayes risk.

Editorial : International Journal of Knowledge-Based Development

The International Journal of Knowledge Based Development is planned to serve as a platform for the Global Knowledge Based Development Community to exchange academic and professional knowledge and experience, and adopt the learnings in different corners of the globe to achieve a sustainable knowledge-based development. The journal is put together by the executive team of an international think tank (The World Capital Institute – www.worldcapitalinstitute.org). As an international non-profit organization, The World Capital Institute aims to further advance the understanding and application of knowledge capital as the most powerful leverage for development in micro (i.e. individuals-neighborhoods-firms) , mezzo (i.e. communities-cities-clusters), macro (i.e. societies-nations), and supra-macro (supranational-global) levels.