Data management challenges in analysis and synthesis in the ecosystem sciences

Open-data has created an unprecedented opportunity with new challenges for ecosystem scientists. Skills in data management are essential to acquire, manage, publish, access and re-use data. These skills span many disciplines and require trans-disciplinary collaboration. Science synthesis centres support analysis and synthesis through collaborative 'Working Groups' where domain specialists work together to synthesise existing information to provide insight into critical problems. The Australian Centre for Ecological Analysis and Synthesis (ACEAS) served a wide range of stakeholders, from scientists to policy-makers to managers. This paper investigates the level of sophistication in data management in the ecosystem science community through the lens of the ACEAS experience, and identifies the important factors required to enable us to benefit from this new data-world and produce innovative science. ACEAS promoted the analysis and synthesis of data to solve transdisciplinary questions, and promoted the publication of the synthesised data. To do so, it provided support in many of the key skillsets required. Analysis and synthesis in multi-disciplinary and multi-organisational teams, and publishing data were new for most. Data were difficult to discover and access, and to make ready for analysis, largely due to lack of metadata. Data use and publication were hampered by concerns about data ownership and a desire for data citation. A web portal was created to visualise geospatial datasets to maximise data interpretation. By the end of the experience there was a significant increase in appreciation of the importance of a Data Management Plan. It is extremely doubtful that the work would have occurred or data delivered without the support of the Synthesis centre, as few of the participants had the necessary networks or skills. It is argued that participation in the Centre provided an important learning opportunity, and has resulted in improved knowledge and understanding of good data management practices.

Trade liberalization and income inequality : a theoretical analysis

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Meta-analysis and research synthesis in education

This bibliography begins with this introduction followed by a general overview of meta-analysis and research synthesis methods in education. The third section cites references to illustrate how the concept of statistical integration of research findings dates back to early 20th century. Citations in the fourth section highlight early calls from educational researchers to recognize the process of synthesizing research as a scholarly endeavor in its own right. As evident from the citations in the fifth section, it was in the 1980s when monographs exclusively devoted to research synthesis methods started to be published. Since then, a number of books have been published on research synthesis methods. The sixth section cites some of the most comprehensive books on research synthesis methods and includes contributions from key players of meta-analysis current at the time. The citations in the seventh section illustrate how meta-analysis has become very popular over time. Several large organizations have been set up and software developed to support systematic reviews of research. These are cited in the eighth section. Citations in the ninth section illustrate critiques of systematic reviews. As qualitative research is becoming popular in education, sophisticated discussions of issues associated with synthesizing qualitative research have also been published, some of which are cited in the tenth section. The eleventh section presents a methodologically inclusive account of current developments in research synthesis methods. The final section cites examples of journals exclusively devoted to publishing research reviews and exemplary research synthesis with different methodologies. Individual methods of research synthesis are discussed chronologically as they became popular in educational research. Accordingly, this bibliography starts with a discussion of statistical methods of integrating research that parallels the dominance of quantitative research in education until the 1970s. As the popularity and diversity of qualitative research methods have been increasing in educational research, more methodologically inclusive discussions of research synthesis methods are becoming popular as described in the later sections of this bibliography.

Theoretical issues and political dilemmas in working with men

The aim of this chapter is to highlight some of the theoretical issues and political dilemmas involved in working with men in the human services. To develop a framework for practice with men, we have to adequately conceptualise the issues £1cing men. These are confusing and unsettling times for many men. To make sense of this confusion it is important to understand men's experiences within the context of the patriarchal structures in society and their relationship to class, race and gender regimes. Men and women who work with men in the human services should have an analysis of the social construction of masculinities and they need to understand how the forces that construct dominant masculinities embed men and women in relations of dominance and subordination that limit the potential for them to be in partnership with each other. To the extent that we ignore the social construction of masculinity,
it blocks insight into the real trouble in men's lives. Furthermore, if men do not grasp the basic notion of gender as a social construction, then feminist critiques of patriarchy, dominant masculinity and abusive male behaviours are going to be felt by men at a deeply personal level (Schwalbe 1996, pp. 187, 231).

Foucauldian analysis and 'the best interests of the child'

In this thesis I have developed a theoretical framework using Michel Foucault’s metaphor of the panopticon and applied the resulting discursive methodology to prominent risk assessment texts in Tasmanian Government child protection services. From the analysis I have developed an innovation poststructural practice of discursive empathy for use in child protection social work. Previous research has examined discourses such as madness, mothering, the family and masculinity using Foucault’s ideas and argued that each is a performance of social government. However my interest is in ‘the best interests of the child’ as governmentality; risk as the apparatus through which it is conducted and child abuse its social effect. In applying a discursive analysis, practices of risk assessment are therefore understood to actually produce intellectual and material conditions favourable to child abuse, rather than protect children from maltreatment. The theoretical framework produces in this thesis incorporates three distinct components of Foucault’s interpretive analytics of power: archaeology, genealogy and ethics. These components provide a structure for discourse analysis that is also a coherent methodical practice of Foucault’s notion of ‘parrhesia’. The practice of parrhesia involves social workers recognised that social power is subjectively dispersed yet also hierarchical. Using this notion I have analysed ‘the best interest of the child’ as a panopticon and argued that child abuse is a consequence. This thesis therefore demonstrates how child protection social workers can expose the political purpose involved in the discourse ‘the best interests of the child’, and in doing so challenge the hostile intellectual and material conditions that exist for children in our community. In concluding, I identify how discursive empathy is a readily accessible skill that social workers can use to practice parrhesia in a creative way.

Education to gain sustainability : analysis and approach from the experience obtained from two high school systems in mexican rural communities

The decade “Education for Sustainability” is just emerging and one of its goals emphasized the importance of considering the currícula in a transdisciplinary and community based programs. This includes recognizing local and regional interests as relevant topics into the currícula. “Education for sustainability” does not appear to have a strong basis on their actions as its theoretical discourse does. The study we present here about content analysis in the curricula of two high schools systems in rural Mexican communities is an example. In this research we analyzed: 1) how the curricula is oriented towards forest management and the way is connected to the social reality of the communities; 2) how does the learning process develops in the classroom and its dynamics with teachers and students and 3) how does the environmental learning take place. Results revealed that more research is needed with adolescents in order to change the educational structure in rural Mexican high schools.

Reconstructing the Risk–Need–Responsivity model : a theoretical elaboration and evaluation

In this paper, we examine the theoretical strengths and weaknesses of the Risk–Need–Responsivity (RNR) model of offender rehabilitation. We briefly discuss the nature of rehabilitation theories and their core components and then review the three source theories associated with the RNR Model. Following this we set out to reconstruct the RNR model in light of this analysis, essentially arguing that there are at least three components to any rehabilitation theory: (a) primary aims, values and principles; (b) etiological and methodological assumptions; and (c) practice implications. We then evaluate the theoretical and empirical adequacy of the RNR model. Finally, we conclude the paper with a few comments on the policy, research, and clinical implications of our evaluation (and reconstruction) of this important rehabilitation model.

Fuzzy rule base assessment models : theoretical analyses and a case study

An assessment model is usually a mathematical model that produces a measuring index, in the form of a numerical score to a situation/object, with respect to the subject of measure. To allow a valid and useful comparison among various situations/objects according to their associated numerical scores to be made, two important properties, i.e., the monotone output property and output resolution properties, are essential in fuzzy inference-based assessment problems. In this paper, the conditions for a fuzzy assessment model to fulfill the monotone output property is investigated using a derivative approach. A guideline on how the input membership functions should be tuned is also provided. Besides, the output resolution property is defined as the derivative of the output of the assessment model with respect to the input, whereby the derivative should be greater than a minimum resolution. Based on the derivative, improvements to the output resolution property by refining the fuzzy production rules are suggested. A case study on the Bowles fuzzy RPN model to demonstrate the effectiveness of the properties is also included.

A theoretical analysis for fiber contacts in multilayer nanofibrous assemblies

A theoretical analysis is presented for the estimation of the number of contacts between fibers in random multilayer nanofibrous assemblies with arbitrary fiber diameter and orientation. The statistics of fiber contacts for single-layer nanofiber mats were considered first, and the equations were developed for three-dimensional multilayer nanofibrous assemblies by considering the superposition of the single-layer assemblies. Based on the theoretical approach presented here for multilayer nanofibrous networks, the network porosity, mean fiber diameter and a function of fiber aspect ratio contribute to a model to determine the average number of fiber contacts per unit fiber length in multilayer nanofibrous mats. The theory is studied parametrically and results compared with the work of a model presented by Samson. It is shown that the presented model compared to the existing models is more sensitive with the fiber diameter in the nano-scale. It is also believed that the presented theory for fiber-to-fiber contacts is more realistic and useful for further studies of multilayer nanofibrous assemblies.

Social network analysis and small group ‘dark’ networks: an analysis of the London bombers and the problem of ‘fuzzy’ boundaries

Social network analysis (SNA) is believed to be capable of revealing significant insights into crime and terror groups, including identifying important individuals and unique approaches to disruption. However, SNA has a number of theoretical and practical limitations, particularly when applied to ‘dark’ networks. While most analysts certainly acknowledge at least some of these limitations, we need to know more about their potential impact in a crime intelligence context. This article aims to go some way towards that end by placing greater scrutiny on the problem of ‘fuzzy boundaries’ when applied to small group networks. SNA is applied to the groups responsible for the 7 July 2005 London bombings and the 21 July 2005 attempted London bombings. The article concludes that while SNA is a valuable tool for understanding crime and terror groups, the age-old problem of fuzzy boundaries can have a profound impact on the analysis of small dynamic networks.

Psychological capital: A review and synthesis

The concept of psychological capital (PsyCap) has attracted a great deal of interest from both academics and practitioners and has been linked to employee attitudes, behavior and performance at different levels of analysis. Yet, the nature of the concept, its measurement, the factors that influence its development, and when and how it influences individual-level, team-level and organizational-level outcomes are the subject of continued debate in the literature. This article offers a detailed and focused review of the existing literature on PsyCap, with the aim of developing an agenda for future research. In particular, we call for researchers to pay greater attention to possible multi-level applications of PsyCap research, examine the underlying mechanisms by which PsyCap influences individual-level, team-level and organizational-level outcomes, and identify possible factors that may moderate the relationship between PsyCap and its outcomes. In doing this, we provide a roadmap for scholars to progress the development of the field. © 2014 John Wiley & Sons, Ltd.

Stability analysis and resource allocation for space-based multi-access systems

In space-based networks, the data relay satellites can assist low-earth-orbit satellites in relaying data to other satellites or the ground station and improve the real time system throughput. To take full advantage of transmission resource of the cooperative relays, this paper proposes a multiple access and resource allocation strategy, in which relays can receive and transmit simultaneously according to channel characteristics of space-based systems. Based on the queueing theoretic formulation, the stability of the proposed protocol is analyzed and the maximum stable throughput region is derived, which would provide the appropriate guidance for the design of the system optimal control. Simulation results exhibit multiple factors that affect the stable throughput and verify the theoretical analysis.