Project alliancing Vs project partnering : a case study of the Australian National Museum project

Significant differences between project partnering and project alliancing occur in the selection process, management structure of the organisations undertaking the project and nature of risk and reward incentives. This paper helps clarify the nature of project alliancing and how alliance member organisations were selected for this case study. A core issue that differentiates between the two approaches is that in partnering, partners may reap rewards at the expense of other partners. In alliancing each alliance member places their profit margin and reward structure ÁÁat riskÂÂ. Thus in alliancing, the entire alliance entity either benefits together or not all. This fundamentally changes the motivation and dynamics of the relationship between alliance members.

The Australian story : catalysts and inhibitors in the achievement of new women professors

Women are substantially under-represented in the professoriate in Australia with a ratio of one female professor to every three male professors. This gender imbalance has been an ongoing concern with various affirmative action programs implemented in universities but to limited effect. Hence, there is a need to investigate the catalysts for and inhibitors to women’s ascent to the professoriate. This investigation focussed on women appointed to the professoriate between 2005, when a research quality assessment was first proposed, and 2008. Henceforth, these women are referred to as “New Women Professors”. The catalysts and inhibitors in these women’s careers were investigated through an electronic survey and focus group interviews. The survey was administered to new women professors (n=255) and new men professors (n=240) to enable a comparison of responses. However, only women participated in focus group discussions (n=21). An analysis of the survey and interview data revealed that the most critical catalysts for women’s advancement to the professoriate were equal employment opportunities and mentoring. Equal opportunity initiatives provided women with access to traditionally male-dominated forums. Mentoring gave women an insider perspective on the complexity of academia and the politics of the academy. The key inhibitors to women’s career advancement were negative discrimination, the culture of the boys’ club, the tension between personal and professional life, and isolation. Negative discrimination and the boys’ club are problematic because they favour men and marginalise women. The tension between personal and professional life is a particular concern for women who bear children and typically assume the major role in a family for child rearing. Isolation was a concern for both women and men with isolation appearing to increase after ascent to the professoriate. Knowledge of the significant catalysts and inhibitors provides a pragmatic way to orient universities towards redressing the gender balance in the professoriate.

Australian ePortfolio Project–Stage 2 ePortfolio use by university students in Australia : Developing a sustainable community of practice Case studies extracted from the final project report December 2009

Fourteen sase studies extracted from the final project report - December 2009 Australian Flexible Learning Framework: E-portfolios Community of Practice (Aus) Personal learning plans and ePortfolio (Aus) RMIT University: Introducing ePortfolios (Aus) ePortfolio Practice: ALTC Exchange (Aus) Australian PebblePad User Group (APpUG) (Aus) ePortfolios in the library and information services sector (Aus) PDP and ePortfolios UK (UK) SURF NL Portfolio (Netherlands) University of Canterbury ePortfolio (NZ) AAEEBL: Association for Authentic, Experiential and Evidence-Based Learning (USA) Midlands Eportfolio Group, West Midlands(UK) EPAC: Electronic Portfolio Action and Communication (USA) Scottish Higher Education PDP Forum (UK) Centre for Recording Achievement (CRA)(UK)

Overview of the INEX 2010 XML mining track : clustering and classification of XML documents

The XML Document Mining track was launched for exploring two main ideas: (1) identifying key problems and new challenges of the emerging field of mining semi-structured documents, and (2) studying and assessing the potential of Machine Learning (ML) techniques for dealing with generic ML tasks in the structured domain, i.e., classification and clustering of semi-structured documents. This track has run for six editions during INEX 2005, 2006, 2007, 2008, 2009 and 2010. The first five editions have been summarized in previous editions and we focus here on the 2010 edition. INEX 2010 included two tasks in the XML Mining track: (1) unsupervised clustering task and (2) semi-supervised classification task where documents are organized in a graph. The clustering task requires the participants to group the documents into clusters without any knowledge of category labels using an unsupervised learning algorithm. On the other hand, the classification task requires the participants to label the documents in the dataset into known categories using a supervised learning algorithm and a training set. This report gives the details of clustering and classification tasks.

'Live your liberation - don't lobby for it' : Australian queer student activists' perspectives of same-sex marriage

One topic covered in Australian queer university student print media is the legalization of same-sex marriage. The legalization of same-sex marriage is currently generating much debate in Western queer communities. This paper explores Australian queer university student activists’ media representation of same-sex marriage, and the debates surrounding its legalization. It uses discourse analysis to examine a selection of queer student media from four metropolitan Australian universities, and the 2003 and 2004 editions of the national queer student publication Querelle. This paper thus contributes to the history of queer activism, documenting what one group of young people say about the legalization of same-sex marriage, and furthers research on queer perspectives of marriage and same-sex relationships.

The Australian Grey Nomads : are they who we think they are? Enhancing formative research through the quantitative assessment of psychological constructs

Issue addressed: Measures of 'social identity' and 'psychological sense of community' were included within a broader formative research inquiry to gain insight into the identity characteristics and level of connectedness among older recreational road travellers (commonly known as Grey Nomads). The research sought to gain insights on how best to reach or speak to this growing driver cohort. ----- ----- Method: Participants included 631 older recreational road travellers ranging in age from 50 years to over 80 years. Data were obtained through three scales which were incorporated into a larger formative research survey; an identity hierarchy, the Three Factor Model of Social Identity and the Sense of Community Index. ----- ----- Results: Older recreational road travellers see themselves principally as couples, with social group identity being secondary. Although many identified to some degree with the Grey Nomad identity, when asked to self categorise as either members of the Broad Network of Recreational Vehicle Travellers or as Grey Nomads, the majority categorised themselves as the former. Those identifying as Grey Nomads, however, reported significantly higher levels of 'social identification' and 'sense of community'. ----- ----- Conclusion: The Grey Nomad identity may not be the best identity at which to target road safety messages for this cohort. Targeting travelling 'couples' may be more efficacious. Using the 'Grey Nomad' identity is likely to reap at least some success, however, given that many identified to some degree with this group identity. Those identifying as Grey Nomads may be more open to community participation or behaviour change given their significantly higher levels of 'social identity' and 'sense of community'.

Using data mining on road asset management data in analysing road crashes

Road safety is a major concern worldwide. Road safety will improve as road conditions and their effects on crashes are continually investigated. This paper proposes to use the capability of data mining to include the greater set of road variables for all available crashes with skid resistance values across the Queensland state main road network in order to understand the relationships among crash, traffic and road variables. This paper presents a data mining based methodology for the road asset management data to find out the various road properties that contribute unduly to crashes. The models demonstrate high levels of accuracy in predicting crashes in roads when various road properties are included. This paper presents the findings of these models to show the relationships among skid resistance, crashes, crash characteristics and other road characteristics such as seal type, seal age, road type, texture depth, lane count, pavement width, rutting, speed limit, traffic rates intersections, traffic signage and road design and so on.

Leveraging R&D investment for the Australian built environment

This paper discusses a current research project building new understandings and knowledge relevant to R&D funding strategies in Australia. Building on a retrospective analysis of R&D trends and industry outcomes, an industry roadmap will be developed to inform R&D policies more attuned to future industry needs to improve research investment effectiveness. The project will also include analysis of research team formation and management (involving end users from public and private sectors together with research and knowledge institutions), and dissemination of outcomes and uptake in the Australian building and construction industry. The project will build on previous research extending open innovation system theory and network analysis and procurement, focused on R&D. Through the application of dynamic capabilities and strategic foresighting theory, an industry roadmap for future research investment will be developed, providing a stronger foundation for more targeted policy recommendations. This research will contribute to more effective construction processes in the future through more targeted research funding and more effective research partnerships between industry and researchers.

Road crash proneness prediction using data mining

Developing safe and sustainable road systems is a common goal in all countries. Applications to assist with road asset management and crash minimization are sought universally. This paper presents a data mining methodology using decision trees for modeling the crash proneness of road segments using available road and crash attributes. The models quantify the concept of crash proneness and demonstrate that road segments with only a few crashes have more in common with non-crash roads than roads with higher crash counts. This paper also examines ways of dealing with highly unbalanced data sets encountered in the study.

Identifying differences in wet and dry road crashes using data mining

It is commonly accepted that wet roads have higher risk of crash than dry roads; however, providing evidence to support this assumption presents some difficulty. This paper presents a data mining case study in which predictive data mining is applied to model the skid resistance and crash relationship to search for discernable differences in the probability of wet and dry road segments having crashes based on skid resistance. The models identify an increased probability of wet road segments having crashes for mid-range skid resistance values.

Comprehensive Australian study of entrepreneurial emergence (CAUSEE): project presentations an early results

It is widely acknowledged that entrepreneurship is one of the most important forces shaping changes in the economic landscape (van Praag and Versloot 2007). An understanding of the process by which new economic activity and business entities emerge is therefore vital. The Comprehensive Australian Study of Entrepreneurial Emergence (CAUSEE) is a research project that aims to uncover the factors that initiate, hinder, or facilitate the process of emergence, survival, and success of new independent businesses.

Comprehensive Australian Study of Entrepreneurial Emergence (CAUSEE): design, data collection and descriptive results

The Comprehensive Australian Study of Entrepreneurial Emergence (CAUSEE) is a research programme that aims to uncover the factors that initiate, hinder and facilitate the process of emergence of new economic activities and organizations. It is widely acknowledged that entrepreneurship is one of the most important forces shaping changes in a country’s economic landscape (Baumol 1968; Birch 1987; Acs 1999). An understanding of the process by which new economic activity and business entities emerge is vital (Gartner 1993; Sarasvathy 2001). An important development in the study of ‘nascent entrepreneurs’ and ‘firms in gestation’ was the Panel Study of Entrepreneurial Dynamics (PSED) (Gartner et al. 2004) and its extensions in Argentina, Canada, Greece, the Netherlands, Norway and Sweden. Yet while PSED I is an important first step towards systematically studying new venture emergence, it represents just the beginning of a stream of nascent venture studies – most notably PSED II is currently being undertaken in the US (2005– 10) (Reynolds and Curtin 2008).

Constituting the teacher of reading in contemporary Australian literacy debates

This chapter documents the history of the National Inquiry into the Teaching of Literacy and the subsequent fate of the figure of the teacher, in terms of how the inquiry has acted to background the teacher and bring new figures into prominence. The classroom teacher is being moved out of a central role of authority in literacy education, in spite of claims about the importance of the teacher in parts of the report. Authority is now being placed in the figure of the scientific researcher who decides what the best techniques are, and develops diagnostic tools that the teacher must use in order to decide which of the techniques to apply. Specialist literacy teachers, well “trained”by these experts, are needed to ensure that teachers do what the experts recommend (evidence-based practice). Thus, the classroom literacy teacher becomes a cipher for applying expertly designed techniques and tests.