Operator-based approaches to harm minimisation in gambling: summary, review and future directions

In this report we give critical consideration to the nature and effectiveness of harm minimisation in gambling. We identify gambling-related harm as both personal (e.g., health, wellbeing, relationships) and economic (e.g., financial) harm that occurs from exceeding one’s disposable income or disposable leisure time. We have elected to use the term ‘harm minimisation’ as the most appropriate term for reducing the impact of problem gambling, given its breadth in regard to the range of goals it seeks to achieve, and the range of means by which they may be achieved. The extent to which an employee can proactively identify a problem gambler in a gambling venue is uncertain. Research suggests that indicators do exist, such as sessional information (e.g., duration or frequency of play) and negative emotional responses to gambling losses. However, the practical implications of requiring employees to identify and interact with customers suspected of experiencing harm are questionable, particularly as the employees may not possess the clinical intervention skills which may be necessary. Based on emerging evidence, behavioural indicators identifiable in industryheld data, could be used to identify customers experiencing harm. A programme of research is underway in Great Britain and in other jurisdiction

Youth alcohol and drug good practice guide 1: A framework for youth alcohol and other drug practice

This Guide outlines a framework for working with young people whose AOD use creates significant vulnerability to current or future harm. The target audience is practitioners who work with young people who have problematic AOD use and the managers of these practitioners. Areas of content include the elements of a framework for AOD practice, an appreciation of the developmental, social and institutional location of young people, key concepts and understandings regarding good youth centered context responsive practice, and key policy constructs and directions

Small farms in Italy between decline and innovative formula: an entrepreneurial model analysis

During the three-year period of our investigation, we found that the weight of family run farms declined and there was an increase in the role of farms integrated in the market and in integrated low-impact farm. This is a partial change which may be an indicator of a greater capacity of the entrepreneurial fabric to come to the market and the ability to capitalise on the relationship between farm and territory. Comparison between the two periods observing the behaviour of common farmers confirmed the substantial stability of the reference framework and offered further scope for interpretation. First, only about 22% changed their strategic profile. Shifts between strategic profiles especially affected family-run farms and light weighted specialised farms (17%). In particular, there was a major shift from the family-run type to the small, specialised farm. By contrast, the shift from the area of specialisation to the family-run type was less marked, and mostly concerned farms situated in marginal areas with less labour employed on the farm. Another element to be taken into consideration is that the second strategic profile, which has a positive balance of some importance, is that of integrated low-impact farms.Farmers strategic profile, enterpreneurial analysis, rural development, Agricultural and Food Policy, Q18, Q58,

Challenges in Responsible Provision of Gambling: Questions of Efficacy, Effectiveness and Efficiency

This paper aims to explain why responsible provision of gambling is an important corporate social issue facing many gambling providers by examining its status with reference to three characteristic features of such issues proposed in the corporate social responsibility literature--expectational gaps, impacts and controversy (Wartick and Mahon, 1994). The existence of expectational gaps, impacts and controversy relating to contemporary gambling operations thus clarifies why gambling providers are under pressure to manage their gambling operations in a more socially responsible manner. A second aim is to clarify why resolving this issue has been difficult. Drawing on a second explanatory framework from the corporate social responsibility literature (Waddock and Mahon, 1991 ), the paper identifies three areas hindering the resolution of this issue between gambling providers and key stakeholders-lack of agreement over the facts (efficacy), lack of agreement over goals (effectiveness) and lack of agreement over the means to achieve these goals (efficiency). By examining these existing barriers, it is hoped that some pathways to the issue\u27s resolution may be illuminated. Examples from Australia underpin the discussion

Final report : task 4 : waste minimisation in construction

The Regenerating Construction Project for the CRC for Construction Innovation aims to assist in the delivery of demonstrably superior ‘green’ buildings. Components of the project address eco-efficient redesign, achieving a smaller ecological footprint, enhancing indoor environment and minimising waste in design and construction. The refurbishment of Council House 1 for Melbourne City Council provides an opportunity to develop and demonstrate tools that will be of use for commercial building refurbishment generally. It is hoped that the refurbishment will act as an exemplar project to demonstrate environmentally friendly possibilities for office building refurbishment

Forecasting and Granger Modelling with Non-linear Dynamical Dependencies

Traditional linear methods for forecasting multivariate time series are not able to satisfactorily model the non-linear dependencies that may exist in non-Gaussian series. We build on the theory of learning vector-valued functions in the reproducing kernel Hilbert space and develop a method for learning prediction functions that accommodate such non-linearities. The method not only learns the predictive function but also the matrix-valued kernel underlying the function search space directly from the data. Our approach is based on learning multiple matrix-valued kernels, each of those composed of a set of input kernels and a set of output kernels learned in the cone of positive semi-definite matrices. In addition to superior predictive performance in the presence of strong non-linearities, our method also recovers the hidden dynamic relationships between the series and thus is a new alternative to existing graphical Granger techniques.Comment: Accepted for ECML-PKDD 201