Learning Bayesian networks from data: An information-theory based approach

This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop efficient algorithms that can effectively learn Bayesian networks, requiring only polynomial numbers of conditional independence (CI) tests in typical cases. We provide precise conditions that specify when these algorithms are guaranteed to be correct as well as empirical evidence (from real world applications and simulation tests) that demonstrates that these systems work efficiently and reliably in practice.

A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion

In polymer extrusion, delivery of a melt which is homogenous in composition and temperature is important for good product quality. However, the process is inherently prone to temperature fluctuations which are difficult to monitor and control via single point based conventional thermo- couples. In this work, the die melt temperature profile was monitored by a thermocouple mesh and the data obtained was used to generate a model to predict the die melt temperature profile. A novel nonlinear model was then proposed which was demonstrated to be in good agreement with training and unseen data. Furthermore, the proposed model was used to select optimum process settings to achieve the desired average melt temperature across the die while improving the temperature homogeneity. The simulation results indicate a reduction in melt temperature variations of up to 60%.

An Affordance Based Approach to Decision Making in Sport: Discussing a Novel Methodological Framework

Decision making is a fundamental clement of any sport, particularly open, fast, dynamic team sports such as football, basketball and rugby. At the elite level, athletes appear to consistently make good decisions in situations that are highly temporally constrained. To further understand how this is done has been the aim of researchers within the perception-action field for several decades. The purpose of this article is to present novel contributions, both theoretical and methodological, that are pushing the boundaries of this area of research. The theoretical framework (Ecological psychology) within which the work is posited will be described, followed by a description of Virtual Reality (VR) technology and how it relates to the theoretical aims. Finally, an applied example will be summarised in order to demonstrate how the theoretical approach and the methodological approach come together in practice.

'One cut too many?' History and film: a practice-based case study

This article explores the different ways that film-makers and historians approach the narrating of the past. It draws upon a collaborative, practice-based case study of a feature film project, The enigma of Frank Ryan, in order to explore the role of the history film as a vehicle for extending historical understanding. In the dialogue between film-maker and historian, a range of issues regarding the import of the history film for the practice or 'poetics' of history is explored.

Gaining ethical approvals to undertake sexual health research with young people in the UK: Applying a 'Children's Rights Based Approach'

This paper (co-written with Dr Maria Lohan, Dr Carmel Kelly & Professor Laura Lundy) will describe the ethical review process to undertake health research in the UK, and explain an approach that can help researchers deal with ethical and methodological dilemmas in their research. Ethical review is necessary to ensure researchers and participants are protected, yet the requirement to ‘pass’ numerous committees may be challenging particularly for health researchers who work with vulnerable groups and sensitive topics. The inclusion of these groups/topics is crucial if health researchers are to understand health disparities and implement appropriate interventions with health benefits for vulnerable populations. It is proposed that to overcome ethical and methodological challenges and pitfalls, researchers must implement strategies that advocate for, and increase the participation of, vulnerable populations in health research. A ‘children’s rights based approach’ using participatory methodology will be described that draws on the jurisprudence of international law, (United Nations Convention on the Rights of the Child, 1989) and provides a framework that may empower ethics committees to carry out their function confidently. The role of the researcher, framed within the context of doctoral level study, will be reviewed in terms of the investment required and benefits of utilising this approach. It will be argued that adopting this approach with vulnerable groups, not only guarantees their meaningful participation in the research process and permits their voices to be heard, but also offers ethics committees an internationally agreed upon legal framework, ratified by their governing States, from which to fulfil their obligations and resolve their ethical dilemmas. Increasing the representation and participation of vulnerable groups in health research can inform the development of health policy and practice based on ‘insider knowledge’ that better engages with and more adequately reflects their specific needs. This is likely to yield numerous health, social and economic benefits for all of society through the delivery of more equitable, effective and sustainable services.

Towards a knowledge-based approach for effective decision-making in railway safety

Purpose – This paper aims to contribute towards understanding how safety knowledge can be elicited from railway experts for the purposes of supporting effective decision-making. Design/methodology/approach – A consortium of safety experts from across the British railway industry is formed. Collaborative modelling of the knowledge domain is used as an approach to the elicitation of safety knowledge from experts. From this, a series of knowledge models is derived to inform decision-making. This is achieved by using Bayesian networks as a knowledge modelling scheme, underpinning a Safety Prognosis tool to serve meaningful prognostics information and visualise such information to predict safety violations. Findings – Collaborative modelling of safety-critical knowledge is a valid approach to knowledge elicitation and its sharing across the railway industry. This approach overcomes some of the key limitations of existing approaches to knowledge elicitation. Such models become an effective tool for prediction of safety cases by using railway data. This is demonstrated using passenger–train interaction safety data. Practical implications – This study contributes to practice in two main directions: by documenting an effective approach to knowledge elicitation and knowledge sharing, while also helping the transport industry to understand safety. Social implications – By supporting the railway industry in their efforts to understand safety, this research has the potential to benefit railway passengers, staff and communities in general, which is a priority for the transport sector. Originality/value – This research applies a knowledge elicitation approach to understanding safety based on collaborative modelling, which is a novel approach in the context of transport.