A Bayesian framework for learning shared and individual subspaces from multiple data sources

This paper presents a novel Bayesian formulation to exploit shared structures across multiple data sources, constructing foundations for effective mining and retrieval across disparate domains. We jointly analyze diverse data sources using a unifying piece of metadata (textual tags). We propose a method based on Bayesian Probabilistic Matrix Factorization (BPMF) which is able to explicitly model the partial knowledge common to the datasets using shared subspaces and the knowledge specific to each dataset using individual subspaces. For the proposed model, we derive an efficient algorithm for learning the joint factorization based on Gibbs sampling. The effectiveness of the model is demonstrated by social media retrieval tasks across single and multiple media. The proposed solution is applicable to a wider context, providing a formal framework suitable for exploiting individual as well as mutual knowledge present across heterogeneous data sources of many kinds.

Regularized nonnegative shared subspace learning

Joint modeling of related data sources has the potential to improve various data mining tasks such as transfer learning, multitask clustering, information retrieval etc. However, diversity among various data sources might outweigh the advantages of the joint modeling, and thus may result in performance degradations. To this end, we propose a regularized shared subspace learning framework, which can exploit the mutual strengths of related data sources while being immune to the effects of the variabilities of each source. This is achieved by further imposing a mutual orthogonality constraint on the constituent subspaces which segregates the common patterns from the source specific patterns, and thus, avoids performance degradations. Our approach is rooted in nonnegative matrix factorization and extends it further to enable joint analysis of related data sources. Experiments performed using three real world data sets for both retrieval and clustering applications demonstrate the benefits of regularization and validate the effectiveness of the model. Our proposed solution provides a formal framework appropriate for jointly analyzing related data sources and therefore, it is applicable to a wider context in data mining.

Computational studies to understand the role of social learning in team familiarity and its effects on team performance

This paper concerns social learning modes and their effects on team performance. Social learning, such as by observing others' actions and their outcomes, allows members of a team to learn what other members know. Knowing what other members know can reduce task communication and co-ordination overhead, which helps the team to perform faster since members can devote their attention to their tasks. This paper describes agent-based simulation studies using a computational model that implements different social learning modes as parameters that can be controlled in the simulations. The results show that social learning from both direct and indirect observations positively contributes to learning about what others know, but the value of social learning is sensitive to prior familiarity such that minimum thresholds of team familiarity are needed to realise the benefits of social learning. This threshold increases with task complexity. These findings clarify the level of influence that sociality has on social learning and sets up a formal framework by which to conduct studies on how social context influences learning and group performance.

Optimal communication amongst team members

We present a formal framework based on the theory of game with incomplete information [5] for modelling the coordination and communication problem among team of collaborative agents, and define what it means by optimal communication in this setting. Although computing an optimal communication strategy for the team is hard in general, we illustrate with an example of collaborative negotiation and meeting scheduling that computation can be substantially reduced when domain dependent assumptions are introduced.

Should payments for biodiversity conservation be based on action or results?

There is growing interest in the potential of payments for ecosystem services (PES) to encourage land managers to protect and enhance the environment. However, questions remain about how PES agreements should be designed. There is a division between schemes that structure payments by action or by results, with most biodiversity PES schemes, including European agri-environment schemes, paying by action; for example incentivising land managers to carry out actions believed to increase biodiversity. Payment by results is a common incentive structure in the private sector (e.g. labourers doing piece work or no-win no-fee lawyers) but rarer in PES. Using a theoretical modelling approach, we investigate the conditions under which each way of structuring payments may be more cost-effective in a biodiversity PES. Payment by action is favoured where there is a clear action that can be specified at an appropriate level and to which biodiversity is sensitive. We found that payment by results is favoured in degraded landscapes as incentives are created for managers to use their private knowledge and join the scheme only if they can produce the biodiversity services targeted by the scheme. Payment by results is also favoured where biodiversity is less sensitive to conservation action and when it is difficult for a central agency to determine an appropriate level of conservation action. This is because payment by results allows individual managers to optimise their level of action. The relative cost of monitoring action (compliance with an agreement to manage in a certain way) versus results (the presence of biodiversity) has a substantial effect on which payment structure is more efficient only when the central agency can accurately set an appropriate level of action. We illustrate these principles with examples based on agri-environment schemes. Synthesis and applications. Payment by results deserves more attention from those designing biodiversity PES (be they agri-environment schemes in agricultural landscapes or direct payment schemes in more intact ecosystems). This paper provides a formal framework to help policy makers identify the conditions under which payment by results or payment by action is most likely to yield cost-effective biodiversity conservation. © 2011 The Authors. Journal of Applied Ecology © 2011 British Ecological Society.

Mature women and the New Zealand qualifications framework : realising the potential of recognising prior learning

Against a background of 'second-wave' lifelong learning in Aotearoa New Zealand a new framework for post-compulsory national qualifications was introduced. The resulting competency-based system was argued to present a number of benefits for mature women including flexibility in curriculum and delivery and portability across educational sectors. Competency-based education was to include provision for recognition of prior skills and knowledge gained in formal learning environments and the workplace as well as informal learning environments such as the home and the community. Such recognition was a significant factor in gaining support from women’s groups given the potential to recognize and value the domestic labour of women and the skills and knowledge that flow from it. This article explores the rhetoric around recognition of prior learning and discusses approaches to realise its potential. It then draws on research undertaken in Aotearoa New Zealand to suggest that the potential of recognition of prior learning is yet to be realised.

Equity-focused health impact assessment framework

Background to the Development of the Equity-Focused HIA Framework
The equity focused health impact assessment (EFHIA) framework arises out of a two year research project funded for the most part by the Australian Government’s Public Health Education Research Program (PHERP) Innovations Grants (Round 2) scheme. This project had as its primary objective the development of a framework for health inequalities impact assessment, subsequently renamed equity focused health impact assessment. A partnership between the University of Newcastle, Deakin University and the University of New South Wales (the Project Management Steering Committee) received the funding and the Australasian Collaboration for Health Equity Impact Assessment (ACHEIA) was formed to undertake appropriate background research and to develop, pilot test, modify and disseminate the framework. The work commenced in September 2002 and concluded in October 2004. Part of the funding included a capacity building workshop in August 2004. ACT Health and the Division of Medicine at the John Hunter Hospital, Newcastle, also provided financial support for the project. The August 2004 Workshop was supported by NSW Health. All participants and organisations involved in the project gave extensive in-kind support.
The aims of the workshop were to bring together an international collaboration of multidisciplinary investigators, public health experts, and key senior health managers working in national, state and local settings, to inform the further development of the framework and to provide training in its application. The initial goals of the project were to work collaboratively to develop a strategic framework to assess the health inequalities of public health-related policies, plans, strategies, decisions, programs and services. The EFHIA framework as presented at the August workshop was developed through:
1. an extensive review of the relevant literature
2. formal and informal consultation with members of ACHEIA (the international
reference group), members of the Project Management Steering Committee and
other relevant experts; and
3. testing of the draft EFHIA framework with the 5 case study partners – who applied the draft framework in a range of health settings (see
Acknowledgements).
The result of this work has been the development of an equity focused health impact assessment framework that can be used to determine the unanticipated and systemic health inequities that may exist within the decision making processes or activities of a range of organisations and sectors. The EFHIA framework provides one approach that can be used to assist decision makers to put equity and health on their agenda in a more obvious and systematic way. The framework represents a ‘moment in time’ rather than a definitive statement or ‘toolkit’ on the best way to proceed. Further practice, refinement and adjustment will be needed over many years to consolidate both HIA and EFHIA. As well as this guide to the framework, additional outputs from the project team include:
- A literature review
- A position paper
- A report on the five case studies
- An evaluation report.
With the consent of the Australian Government, a monograph will be made available to workshop participants at the end of October which contains the framework and the appropriate background papers.

Indigenous entrepreneurship as a research field : developing a definitional framework from the emerging canon

This study defines Indigenous entrepreneurship as a distinct disciplinary field of science and charts for it a pre-paradigmatic framework. A strategy of literature search and examination was utilized to argue that Indigenous entrepreneurship is sufficiently distinguished from both mainstream entrepreneurship and other social and management sciences to constitute a legitimate, well-defined sub-field of research in its own right. The study provides both a formal definition of the field and diagrammatic framework to describe it.

Beyond codes of ethics : an integrated framework for stimulating morally responsible behaviour in organisations

This paper contributes to the study of ethics programmes by the building of a theoretical model for implementing an ethics programme and examining the application of this model to an actual implementation case study. Ethics programmes aim at stimulating ethical behaviour in the organisation and assisting employees to act in a morally responsible way. It is proposed that for an organisational ethics programme to be effective, five dominant conditions are necessary: awareness of formal organisational goals and corresponding informal norms; suitable procedures for decision making; correct distribution of resources; presence of necessary skills; and personal intentions for ethical behaviour. Following detailed discussion of each condition, and with reference to an actual case example, the conditions will be further developed and supplemented with suggested organisational activities that could be used to support these conditions.

Indigenous entrepreneurship as a research field : developing a definitional framework from the emerging canon

This study investigates the possibility and utility of clearly defining Indigenous entrepreneurship as a distinct disciplinary field of science and charting for it a preparadigmatic framework that distinguishes this field of scholarship from all others. This study uses a strategy of literature search and examination to argue that Indigenous entrepreneurship, as a research area, is sufficiently distinguished from both mainstream entrepreneurship and other social and management sciences to constitute a legitimate, well defined sub-field of research in its own right. The study provides both a formal definition of the field and an illustrated theoretical framework to describe it.

Institutional analysis of strategic choice of micro, small, and medium enterprises : development of a conceptual framework

This paper presents a conceptual framework showing formal and informal institutions and their relationship with the strategic choice of micro, small, and medium enterprises (MSMEs) in a developing country setting. It emphasises how institutions at sub-national level (such as a region or city) influence the strategic orientations of MSMEs as many developing countries in Asia are undergoing decentralisation whereby sub-national government authorities are given more political, economic, fiscal, and administrative powers. Furthermore, it sheds more insights on the environmental (institutional) determinism-organisational (strategic) choice nexus. It offers propositions, questions as well as issues worth pursuing in empirical investigations in the future.

Entrepreneurial knowledge and its effects on entrepreneurial intentions : development of a conceptual framework

This study advances the thesis that knowledge gained from a formal entrepreneurship education program will have positive effects on an individual's overall entrepreneurial intentions through the mediating influences of attitudes and social norms favouring entrepreneurial behaviour. In this proposed conceptual framework, it is argued that the knowledge gained by students attending an entrepreneurship course will have a positive impact on the students' intentions of starting a business. Guided by the theory of planned behaviour, this study proposes a research design which involves tracking of the changes in the students' perceptions of the desirability of, self-efficacy in engaging in, and social norms supportive of, entrepreneurship and their consequent influences on the student's entrepreneurial intentions prior to the start and upon completion of an entrepreneurship course.

A framework for the design of privacy preserving pervasive healthcare

Privacy is an important aspect of pervasive and ubiquitous computing systems, and, in particular, pervasive healthcare. With reference to previous approaches on developing privacy sensitive pervasive healthcare applications, we detail a framework for the design of such systems that aims to minimise the impact of privacy on such systems. In reviewing previous approaches, we extract and combine common elements in order to unify the approaches and create a more formal methodology for designing privacy mechanisms in pervasive healthcare applications. In doing so we also consider the manner in which ubiquitous technologies impact on privacy and methods for reducing this impact. We demonstrate how the framework can be applied by using examples from the previous approaches. In addressing privacy issues, the framework aims to remove a large obstacle to deployment of pervasive healthcare systems, acceptance of the technology.

Blending student technology experiences in formal and informal learning

In this article, we discuss the importance of recognizing students' technology-enhanced informal learning experiences and develop pedagogies to connect students' formal and informal learning experiences, in order to meet the demands of the knowledge society. The Mobile-Blended Collaborative Learning model is proposed as a framework to bridge the gap between formal and informal learning and blend them together to form a portable, flexible, collaborative and creative learning environment. Using this model, three categories of mobile application tools, namely tools for collaboration, tools for coordination and tools for communication, have been identified as pertinent in blending formal and informal learning, and they can be connected seamlessly to provide an effective learning mechanism to support the learning process.

SMEDIA: Designing to create a social and dynamic learning framework

This article discusses the design of social networking sites created through a PhD action research study. Social and participatory media was used as an active, flexible and motivating learning management system. The study investigated ways in which a social learning framework could be designed for students aged 13 to 16 and aimed to encourage student knowledge growth through peer-to-peer interaction while supporting both formal and informal learning. New literacies and multimodality were infused into the design. It was found that the practitioner-researcher’s cycles of planning, acting, observing and reflecting, action research, provided a mechanism for scaffolding the redesign of curriculum content and instruction. Social media in education can be dynamic, interactive and appreciated (SMEDIA) by the students.