Challenges of Open Data Quality : More Than Just License, Format, and Customer Support

The research described here was supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub, award reference: EP/G066051/1; and by the Innovate UK award reference: 102615.Peer reviewedPostprin

Machinery Transportation Management: Case Study of 'Plant-trailer' H&S Incidents

Purpose – The purpose of this paper is to investigate causal agents of health and safety (H&S)incidents among “plant-trailers” (as used by construction and utility contractors to transport mechanical machinery); including the relationship(s) of such incidents to routine safety inspections and, plant maintenance functions. Design/methodology/approach – H&S plant-trailer incident data, from a collaborating UK-based case study utility company are analysed using inductive, interpretative and descriptive statistical methods. Findings – Principal incident occurrences relate to trailer wheels, wheel bearings, tyres and braking systems. All forms of incidents observed harbour significant risk and especially, if they occur during travel on public highways. Derived recommendations for incident mitigation and Control, suggest a requirement for improved human behaviour, machinery inspection regimes and maintenance systems. Research limitations/implications – The findings will be valuable to academia as a basis for advancing this new research subject, both empirically and internationally. Direction is offered in this respect. Practical implications – Recommendations will be of practical relevance to machinery management practitioners generally and to plant-trailer stakeholders more Specifically. For the latter, the study encourages introspective consideration of plant-trailer H&S systems. Originality/value – No previous research has targeted these issues relating to plant-trailers. Keywords Risk, Inspection, Maintenance, Machinery, H&S, Trailers Paper type Case stud

A simple hybrid algorithm for improving team sport AI

In the very popular genre of team sports games defeating the opposing AI is the main focus of the gameplay experience. However the overall quality of these games is significantly damaged because, in a lot of cases, the opposition is prone to mistakes or vulnerable to exploitation. This paper introduces an AI system which overcomes this failing through the addition of simple adaptive learning and prediction algorithms to a basic ice hockey defence. The paper shows that improvements can be made to the gameplay experience without overly increasing the implementation complexity of the system or negatively affecting its performance. The created defensive system detects patterns in the offensive tactics used against it and changes elements of its reaction accordingly; effectively adapting to attempted exploitation of repeated tactics. This is achieved using a fuzzy inference system that tracks player movement, which greatly improves variation of defender positioning, alongside an N-gram pattern recognition-based algorithm that predicts the next action of the attacking player. Analysis of implementation complexity and execution overhead shows that these techniques are not prohibitively expensive in either respect, and are therefore appropriate for use in games

Exchange, Conflict and Coercion: The Ritual Dynamics of the Notting Hill Carnival Past and Present

This study investigates patterns of social relationships involving the Notting Hill Carnival. Two theoretical approaches are employed elementary relations theory and structural ritualization theory - to explain how the carnival has been strategically used in very different ways by various groups to accomplish their objectives. We suggest the Notting Hill Carnival is a special collective ritual event that has played a crucial role in three quite different structured arrangements involving coercion, conflict, and exchange since its beginning in Trinidad and subsequently in London. Four time periods where distinct changes in the nature of these relationships have occurred are examined: (1) 1800s Trinidad; (2) the Notting Hill Carnival from 1965-1970; (3) the Notting Hill Carnival from 1971-1989; and (4) the Notting Hill Carnival from 1990-present. This study contributes to the existing literature by focusing on how ritual and these types of relationships are intertwined in the production of the carnival. Implications of this research and possible directions for future research are also discussed

The fall of Doha and the rise of regionalism? CEPS Policy Brief No. 111, September 2006

The indefinite prorogation of the WTO’s Doha trade talks in July suggests that the global appetite for multilateralism may now be seriously weakened. In this new Policy Brief, CEPS Senior Research Fellow David Kernohan and T. Huw Edwards of Loughborough University look at how a failed or significantly delayed Doha round (say till 2009 at the earliest) could affect the scope and structure of any eventual WTO deal. In particular, if a rise in regionalism in the interim is inevitable, they ask whether the EU should reassess its regional trade policy objectives? A move from a multilateral focus to a twinned regional-multilateral trade policy stance will have consequences, both for practical reasons of EC ‘institutional capacity’ and for strategic reasons, in terms of choice of partner/s. Either way, tough decisions will have to be made. Wherever possible, the authors argue that these tactical choices should be preceded by careful technical analysis of the choice of regional partners and trading groups, as well as on traditional ‘diplomatic’ methods of trade partner selection

A model-driven method for the systematic literature review of qualitative empirical research

This paper explores a model-driven method for systematic literature reviews (SLRs), for use where the empirical studies found in the literature search are based on qualitative research. SLRs are an important component of the evidence-based practice (EBP) paradigm, which is receiving increasing attention in information systems (IS) but has not yet been widely-adopted. We illustrate the model-driven approach to SLRs via an example focused on the use of BPMN (Business Process Modelling Notation) in organizations. We discuss in detail the process followed in using the model-driven SLR method, and show how it is based on a hermeneutic cycle of reading and interpreting, in order to develop and refine a model which synthesizes the research findings of previous qualitative studies. This study can serve as an exemplar for other researchers wishing to carry out model-driven SLRs. We conclude with our reflections on the method and some suggestions for further researc

Social Media Data in Research : Provenance Challenges

The work described here was funded by a grant from the United Kingdom’s Economic and Social Research Council Social Media - Developing Understanding, Infrastructure & Engagement (ES/M001628/1).Postprin