'Crossing the line': Criminological expertise, policy advice and the 'quarrelling society'

In October 2009, Professor David Nutt, eminent neuropsychopharmacologist and world leading expert on drugs, was dismissed as Chair of the UK government’s Advisory Council on the Misuse of Drugs for comments he made at the Centre for Crime and Justice Studies’ Eve Saville lecture. This article considers the role of evidence in political decision-making through the case of David Nutt. It is argued that the status of expert knowledge is in crisis for both the natural and the social sciences. We examine the role of the criminological advisor within emerging discourses of public criminology and suggest that high-stakes political issues can open up unprecedented opportunities for critical voices to engage in unbridled critique and to mobilise movements of dissent.

Information feudalism: Who owns the knowledge economy? A book review

Back in 1995, Peter Drahos wrote a futuristic article called ‘Information feudalism in the information society’. It took the form of an imagined history of the information society in the year 2015. Drahos provided a pessimistic vision of the future, in which the information age was ruled by the private owners of intellectual property. He ended with the bleak, Hobbesian image: "It is unimaginable that the information society of the 21st century could be like this. And yet if abstract objects fall out of the intellectual commons and are enclosed by private owners, private, arbitrary, unchecked global power will become a part of life in the information society. A world in which seed rights, algorithms, DNA, and chemical formulas are owned by a few, a world in which information flows can be coordinated by information-media barons, might indeed be information feudalism (p. 222)." This science fiction assumed that a small number of states would dominate the emerging international regulatory order set up under the World Trade Organization. In Information Feudalism: Who Owns the Knowledge Economy?, Peter Drahos and his collaborator John Braithwaite reprise and expand upon the themes first developed in that article. The authors contend: "Information feudalism is a regime of property rights that is not economicallyefficient, and does not get the balance right between rewarding innovation and diffusing it. Like feudalism, it rewards guilds instead of inventive individual citizens. It makes democratic citizens trespassers on knowledge that should be the common heritage of humankind, their educational birthright. Ironically, information feudalism, by dismantling the publicness of knowledge, will eventually rob the knowledge economy of much of its productivity (p. 219)." Drahos and Braithwaite emphasise that the title Information Feudalism is not intended to be taken at face value by literal-minded readers, and crudely equated with medieval feudalism. Rather, the title serves as a suggestive metaphor. It designates the transfer of knowledge from the intellectual commons to private corporation under the regime of intellectual property.

Wikipedia, collective authorship, and the politics of knowledge

This chapter considers the legal ramifications of Wikipedia, and other online media, such as the Encyclopedia of Life. Nathaniel Tkacz (2007) has observed: 'Wikipedia is an ideal entry-point from which to approach the shifting character of knowledge in contemporary society.' He observes: 'Scholarship on Wikipedia from computer science, history, philosophy, pedagogy and media studies has moved beyond speculation regarding its considerable potential, to the task of interpreting - and potentially intervening in - the significance of Wikipedia's impact' (Tkacz 2007). After an introduction, Part II considers the evolution and development of Wikipedia, and the legal troubles that have attended it. It also considers the establishment of rival online encyclopedia - such as Citizendium set up by Larry Sanger, the co-founder of Wikipedia; and Knol, the mysterious new project of Google. Part III explores the use of mass, collaborative authorship in the field of science. In particular, it looks at the development of the Encyclopedia of Life, which seeks to document the world's biodiversity. This chapter expresses concern that Wiki-based software had to develop in a largely hostile and inimical legal environment. It contends that copyright law and related fields of intellectual property need to be reformed in order better to accommodate users of copyright material (Rimmer 2007). This chapter makes a number of recommendations. First, there is a need to acknowledge and recognize forms of mass, collaborative production and consumption - not just individual authorship. Second, the view of a copyright 'work' and other subject matter as a complete and closed piece of cultural production also should be reconceptualised. Third, the defense of fair use should be expanded to accommodate a wide range of amateur, peer-to-peer production activities - not only in the United States, but in other jurisdictions as well. Fourth, the safe harbor protections accorded to Internet intermediaries, such as Wikipedia, should be strengthened. Fifth, there should be a defense in respect of the use of 'orphan works' - especially in cases of large-scale digitization. Sixth, the innovations of open source licensing should be expressly incorporated and entrenched within the formal framework of copyright laws. Finally, courts should craft judicial remedies to take into account concerns about political censorship and freedom of speech.

Knowledge and behaviors of drunk-driving offenders in Guangzhou, China

Aims To better understand the knowledge and behaviors of drunk-driving offenders relating to alcohol use and driving in the context of recently amended Chinese legislation, and to investigate the involvement of alcohol-use disorders. Design The study was a cross-sectional survey conducted in 2012. Setting and participants: Data were collected at a local jail and 101 participants were recruited while in detention. Measures Questionnaire items examined demographic characteristics as well as practices and knowledge relating to alcohol use and driving. The Alcohol Use Disorders Identification Test (AUDIT) was used to assess hazardous drinking levels. Findings Knowledge about the two legal limits for “drink driving” and for “drunk driving” was low, at 28.3% and 41.4%, respectively. AUDIT scores indicated that a substantial proportion of the offenders had high levels of alcohol-use disorders. Higher AUDIT scores were found among the least experienced drivers, those who lacked knowledge about the legal limits, and recidivist drunk drivers. Conclusions Limited awareness of legal alcohol limits might contribute to offending; high AUDIT scores suggest that hazardous drinking levels may also contribute. This study provides important information to assist in refining community education and prevention efforts.

An international benchmark for the Australian OHS Body of Knowledge (BoK)

Benchmarking was used to compare the Australian SIA’s (Safety Institute of Australia) OHS BoK with three different approaches to systemize the knowledge that should be taught by universities. The Australian Health and Safety Professionals Alliance (HaSPA) Core Body of Knowledge for Generalist OHS Professionals was benchmarked against three other international bodies of knowledge, the German Ergonomic Society’s Body of Knowledge Ergonomics – Core Definition, Object Catalogue and Research Domains, the IEEE Computer Society Software Engineering Body of Knowledge and the American ‘Association of Schools of Public Health’ Master’s Degree in Public Health Core Competency Model. It was found that quality, structure and content of the OHS BoK ranked lowest when compared with the other benchmarked documents. The HaSPA body of knowledge was ranked poorly when compared to the German Ergonomic Society’s Body of Knowledge for Ergonomics, IEEE Computer Society Software Engineering Body of Knowledge and the American Association of Schools of Public Health Core Competency Model. Analysis and discussion of the HaSPA BoK is important given its use as an audit tool for tertiary education in Australia. Furthermore the International Network of Safety & Health Practitioner Organisations (INSHPO) is apparently promoting the Australian SIA’s OHS BoK as the basis of an international standard.

Underlying knowledge of construction management consultants in China

To meet clients/owners’ multidimensional and changing requirements, construction management consultants (CMCs) ought to possess a diverse and dynamic knowledge structure. In China, although the population of CMCs has grown to the point of their being indispensable in the industry, their knowledge structure has not been explored explicitly. The study presented in this paper investigated this by first conducting a comprehensive content analysis of the curricula of the highest ranked construction management university courses in China. This was followed by in-depth interviews with experts, resulting in the identification of 22 main knowledge areas that can be grouped into technology, economy, management and law. A questionnaire survey was then conducted among 115 experienced CMCs to evaluate the current level of knowledge in these areas together with their importance and need-for-improvement. The main findings demonstrate the significance of the identified 22 knowledge areas, and they also need substantial improvement in practice. The research has practical implications for China's CMCs to develop necessary knowledge and the extent to which they need to be improved to provide a better quality of services in future.

Building instance knowledge network for word sense disambiguation

In this paper, a new high precision focused word sense disambiguation (WSD) approach is proposed, which not only attempts to identify the proper sense for a word but also provides the probabilistic evaluation for the identification confidence at the same time. A novel Instance Knowledge Network (IKN) is built to generate and maintain semantic knowledge at the word, type synonym set and instance levels. Related algorithms based on graph matching are developed to train IKN with probabilistic knowledge and to use IKN for probabilistic word sense disambiguation. Based on the Senseval-3 all-words task, we run extensive experiments to show the performance enhancements in different precision ranges and the rationality of probabilistic based automatic confidence evaluation of disambiguation. We combine our WSD algorithm with five best WSD algorithms in senseval-3 all words tasks. The results show that the combined algorithms all outperform the corresponding algorithms.

Society by Numbers : Studies on Model-Based Explanations in the Social Sciences

The aim of this dissertation is to provide conceptual tools for the social scientist for clarifying, evaluating and comparing explanations of social phenomena based on formal mathematical models. The focus is on relatively simple theoretical models and simulations, not statistical models. These studies apply a theory of explanation according to which explanation is about tracing objective relations of dependence, knowledge of which enables answers to contrastive why and how-questions. This theory is developed further by delineating criteria for evaluating competing explanations and by applying the theory to social scientific modelling practices and to the key concepts of equilibrium and mechanism. The dissertation is comprised of an introductory essay and six published original research articles. The main theses about model-based explanations in the social sciences argued for in the articles are the following. 1) The concept of explanatory power, often used to argue for the superiority of one explanation over another, compasses five dimensions which are partially independent and involve some systematic trade-offs. 2) All equilibrium explanations do not causally explain the obtaining of the end equilibrium state with the multiple possible initial states. Instead, they often constitutively explain the macro property of the system with the micro properties of the parts (together with their organization). 3) There is an important ambivalence in the concept mechanism used in many model-based explanations and this difference corresponds to a difference between two alternative research heuristics. 4) Whether unrealistic assumptions in a model (such as a rational choice model) are detrimental to an explanation provided by the model depends on whether the representation of the explanatory dependency in the model is itself dependent on the particular unrealistic assumptions. Thus evaluating whether a literally false assumption in a model is problematic requires specifying exactly what is supposed to be explained and by what. 5) The question of whether an explanatory relationship depends on particular false assumptions can be explored with the process of derivational robustness analysis and the importance of robustness analysis accounts for some of the puzzling features of the tradition of model-building in economics. 6) The fact that economists have been relatively reluctant to use true agent-based simulations to formulate explanations can partially be explained by the specific ideal of scientific understanding implicit in the practise of orthodox economics.

Improving knowledge and practices in fresh produce chains

A successful supply chain must delivery the right product, value and satisfaction to the end customer, and profitability for its participants. Critical to getting the product right is the practices used to produce and maintain product quality through the supply chain from production to sale to the end customer. This paper describes the approach used by a R&D team to add value to supply chains through improving knowledge and practices. The desired outcome is better produce quality for consumers and more control and less wastage for chain participants. The team worked with specific supply chains to identify areas for improvement and to develop, test and implement improved practices. The knowledge gained was communicated to the industry to gain wider adoption of results. Three conditions were identified as critical for practice change - motivation, knowledge, and capacity for change. For improvement in practices to occur, a business must be motivated and have the knowledge and capacity to improve. Two case studies of working with Australian supply chains (mango and melons) are presented to illustrate our participatory methodology. A key activity is monitoring produce quality and handling practices and conditions to demonstrate to participants the points where quality deterioration occurs in the supply chain. This participatory approach is successful because working with supply chain participants generates knowledge and solutions to real problems. It enables the participants to observe the effect of handling practices and conditions on produce quality, gain knowledge and assess the benefits of improvements. Where existing knowledge is not present, research is conducted to fill the knowledge gaps. IV International Conference on Managing Quality in Chains - The Integrated View on Fruits and Vegetables Quality

A review of current knowledge of the weedy species Themeda quadrivalvis (grader grass)

This review of grader grass (Themeda quadrivalvis) attempts to collate current knowledge and identify knowledge gaps that may require further research. Grader grass is a tropical annual grass native to India that is now spread throughout many of the tropical regions of the world. In Australia, it has spread rapidly since its introduction in the 1930s and is now naturalised in the tropical areas of Queensland, the Northern Territory and Western Australia and extends south along the east coast to northern New South Wales. It is a vigorous grass with limited palatability, that is capable of invading native and improved pastures, cropping land and protected areas such as state and national parks. Grader grass can form dense monocultures that reduce biodiversity, decrease animal productivity and increase the fire hazard in the seasonally dry tropics. Control options are based on herbicides, grazing management and slashing, while overgrazing appears to favour grader grass. The effect of fire on grader grass is inconclusive and needs to be defined. Little is known about the biology and impacts of grader grass in agricultural and protected ecosystems in Australia. In particular, information is needed on soil seed bank longevity, seed production, germination and growth, which would allow the development of management strategies to control this weedy grass.

Shifting the Focus. Incorporating knowledge about Aboriginal engineering into main stream content

BACKGROUND OR CONTEXT The concept of 'Aboriginal engineering' has had little exposure in conventional engineering education programs, despite more than 40,000 years of active human engagement with the diverse Australian environment. The work reported in this paper began with the premise that Indigenous Student Support Through Indigenous Perspectives Embedded in Engineering Curricula (Goldfinch, et al 2013) would provide a clear and replicable means of encouraging Aboriginal teenagers to consider a career in engineering. Although that remains a key outcome of this OLT project, the direction taken by the research had led to additional insights and perspectives that have wide implications for engineering education more generally. There has only been passing reference to the achievements of Aboriginal engineering in current texts, and the very absence of such references was a prompt to explore further as our work developed. PURPOSE OR GOAL Project goals focused on curriculum-based change, including development of a model for inclusive teaching spaces, and study units employing key features of the model. As work progressed we found we needed to understand more about the principles and practices informing the development of pre-contact Aboriginal engineering strategies for sustaining life and society within the landscape of this often harsh continent. We also found ourselves being asked 'what engineering did Aboriginal cultures have?' Finding that there are no easy-to- access answers, we began researching the question, while continuing to engage with specific curriculum trials. APPROACH Stakeholders in the project had been identified as engineering educators, potential Aboriginal students and Aboriginal communities local to Universities involved in the project. We realised, early on, that at least one more group was involved - all the non-Aboriginal students in engineering classes. This realisation, coupled with recognition of the need to understand Aboriginal engineering as a set of viable, long term practices, altered the focus of our efforts. Rather than focusing primarily on finding ways to attract Aboriginal engineering students, the shift has been towards evolving ways of including knowledge about Aboriginal practices and principles in relevant engineering content. DISCUSSION This paper introduces the model resulting from the work of this project, explores its potential influence on engineering curriculum development and reports on implementation strategies. The model is a static representation of a dynamic and cyclic approach to engaging with Aboriginal engineering through contact with local communities in regard to building knowledge about the social beliefs underlying Aboriginal engineering principles and practices. Ways to engage engineering educators, students and the wider community are evolving through the continuing work of the project team and will be reported in more detail in the paper. RECOMMENDATIONS/IMPLICATIONS/CONCLUSION While engineering may be considered by some to be agnostic in regard to culture and social issues, the work of this project is drawing attention to the importance of including such issues into curriculum materials at a number of levels of complexity. The paper will introduce and explore the central concepts of the research completed to date, as well as suggesting ways in which engineering educators can extend their knowledge and understanding of Aboriginal engineering principles in the context of their own specialisations.

Eliciting and encoding expert knowledge on variable selection into classical or Bayesian species distribution models

The quality of species distribution models (SDMs) relies to a large degree on the quality of the input data, from bioclimatic indices to environmental and habitat descriptors (Austin, 2002). Recent reviews of SDM techniques, have sought to optimize predictive performance e.g. Elith et al., 2006. In general SDMs employ one of three approaches to variable selection. The simplest approach relies on the expert to select the variables, as in environmental niche models Nix, 1986 or a generalized linear model without variable selection (Miller and Franklin, 2002). A second approach explicitly incorporates variable selection into model fitting, which allows examination of particular combinations of variables. Examples include generalized linear or additive models with variable selection (Hastie et al. 2002); or classification trees with complexity or model based pruning (Breiman et al., 1984, Zeileis, 2008). A third approach uses model averaging, to summarize the overall contribution of a variable, without considering particular combinations. Examples include neural networks, boosted or bagged regression trees and Maximum Entropy as compared in Elith et al. 2006. Typically, users of SDMs will either consider a small number of variable sets, via the first approach, or else supply all of the candidate variables (often numbering more than a hundred) to the second or third approaches. Bayesian SDMs exist, with several methods for eliciting and encoding priors on model parameters (see review in Low Choy et al. 2010). However few methods have been published for informative variable selection; one example is Bayesian trees (O’Leary 2008). Here we report an elicitation protocol that helps makes explicit a priori expert judgements on the quality of candidate variables. This protocol can be flexibly applied to any of the three approaches to variable selection, described above, Bayesian or otherwise. We demonstrate how this information can be obtained then used to guide variable selection in classical or machine learning SDMs, or to define priors within Bayesian SDMs.

Editorial: Dimensions of knowledge-based urban development

This issue marks the beginning of a new editorial cycle. In the seventh volume of the journal the editorial team will continue collating novel scientific and social developments in the broader field of ‘knowledge-based development’ to report to our readers. In this perspective, the first issue of the volume focuses on different dimensions of knowledge-based urban development. As Gabe et al. (2012, p.1179) indicate, “[i]t would be an understatement to suggest that knowledge plays a key role in today’s economy; for much of the developed world, it might be more accurate to assert that knowledge is today’s economy”. Thus, knowledge generation has been a priority for global city administrations, and there is a growing consensus amongst scholars, planners, politicians and industrialists in identifying knowledge-based urban development as a panacea to the burgeoning economic problems (Knight, 1995; Kunzmann, 2009; Yigitcanlar, 2010, 2011; Huggins and Strakova, 2012; Lönnqvist et al., 2014). Although, in the era of global knowledge economy, knowledge-based urban development is a critical factor for economic success (Pratt, 2000; Sheppard, 2002), it is not solely an economic policy. For many, knowledge-based urban development is a policy that targets building an urban setting to form perfect climates for business, people, and governance in an environmentally friendly atmosphere (Carrillo, 2006; Ergazakis et al., 2006; Angelidou et al., 2012). Each of these climates correspond to a dimension or domain of knowledge-based urban development – namely, economy, society, space, and governance (Carrillo et al., 2014). Each paper of this issue corresponds to at least one of these domains, or policy areas.

Understanding the Knowledge Needs of Designers During Design Process in Industry

Product success is substantially influenced by satisfaction of knowledge needs of designers, and many tools and methods have been proposed to support these needs. However, adoption of these methods in industry is minimal. This may be due to an inadequate understanding of the knowledge needs of designers in industry. This research attempts to develop a better understanding of these needs by undertaking descriptive studies in an industry. We propose a taxonomy of knowledge, and evaluate this by analyzing the questions asked by the designers involved in the study during their interactions. Using the taxonomy, we converted the questions asked into a generic form. The generic questions provide an understanding about what knowledge must be captured during design, and what its structure should be.

Futility and the law: Knowledge, practice and attitudes of doctors in end of life care

Despite the potential harm to patients (and others) and the financial cost of providing futile treatment at the end of life, this practice occurs. This article reports on empirical research undertaken in Queensland that explores doctors’ perceptions about the law that governs futile treatment at the end of life, and the role it plays in medical practice. The findings reveal that doctors have poor knowledge of their legal obligations and powers when making decisions about withholding or withdrawing futile treatment at the end of life; their attitudes towards the law were largely negative; and the law affected their clinical practice and had or would cause them to provide futile treatment.