Finding the way: improving access to the collections of the Royal Scottish Geographical Society

This case study describes and discusses the ‘Images for All’ project at the Royal Scottish Geographical Society and lessons learned from it. The background to the project and collections held is described. The case study focuses on the development of the project website, the digitisation of 100 images from the collection and the nature of project management in a small scale project. The paper finds that there are many potential challenges faced by project managers working in small voluntary organisations, but these can be overcome

Small-area measures of income poverty

This paper considers techniques for measuring the prevalence of income poverty within small areas, or “neighbourhoods”, in Britain. The ultimate purpose is applying such statistics to investigating how the micro-spatial distribution of poverty within cities and regions changes over time as a consequence of political decisions and economic events. In the paper, some general criteria for small-area poverty measures are first set out, and two broad methods, poverty proxies and modelled income estimates, are identified. Empirical analyses of the validity and coverage of poverty proxies derived from UK administrative data, such as social security benefit claims, are presented. The concluding section assesses a new poverty proxy that will be used within a wider programme of analysis of the spatial-distributional effects of tax and welfare changes and of economic trends in Britain from 2000 to 2014. Particular attention is paid to the relationship between the proxy values and other local poverty measures in different kinds of places. These suggest that the proxy is an adequate, albeit imperfect, tool for investigating changes in intra-urban distributions of poverty

Assessing evidence and testing appropriate hypotheses

It is crucial to identify the most appropriate hypotheses if one is to apply probabilistic reasoning to evaluate and properly understand the impact of evidence. Subtle changes to the choice of a prosecution hypothesis can result in drastically different posterior probabilities to a defence hypothesis from the same evidence. To illustrate the problem we consider a real case in which probabilistic arguments assumed that the prosecution hypothesis “both babies were murdered” was the appropriate alternative to the defence hypothesis “both babies died of Sudden Infant Death Syndrome (SIDS)”. Since it would have been sufficient for the prosecution to establish just one murder, a more appropriate alternative hypothesis was “at least one baby was murdered”. Based on the same assumptions used by one of the probability experts who examined the case, the prior odds in favour of the defence hypothesis over the double murder hypothesis are 30 to 1. However, the prior odds in favour of the defence hypothesis over the alternative ‘at least one murder’ hypothesis are only 5 to 2. Assuming that the medical and other evidence has a likelihood ratio of 5 in favour of the prosecution hypothesis results in very different conclusions about the posterior probability of the defence hypothesis

The middle manager: Friend or foe of employee involvement

Middle management resistance has been frequently identified as a significant barrier to the success of employee involvement practices. This paper reviews evidence from the literature and from 12 case studies on the role played by middle managers in employee involvement initiatives. There is evidence that middle management resistance often acts as a significant impediment to employee involvement. However, there is also evidence that this resistance is often a symptom of inconsistency between organisational systems and the goals of employee involvement and of inadequate training and support for middle managers. Employee involvement initiatives should pay attention to aligning organisational systems with the goals of employee involvement and treat middle managers as the targets as well as the implementors of employee involvement

Proportionality and its Applicability in the Realm of Cyber Attacks

With an ever-increasing reliance on State cyber-attacks, the need for an international treaty governing the actions of Nation-States in the realm of cyberwarfare has never been greater. States now have the ability to cause unprecedented civilian loss with their cyber actions. States can destroy financial records, disrupt stock markets, manipulate cryptocurrency, shut off nuclear reactors, turn off power grids, open dams, and even shut down air traffic control systems with the click of a mouse. This article argues that any cyber-attack launched with a reasonable expectation to inflict “incidental loss of civilian life, injury to civilians, or damage to civilian objects,” must be subject to the existing laws of proportionality. This article further examines the broader concept of proportionality, and the difficulties associated with applying a proportionality analysis to an offensive cyber-strike. This paper asserts that the ambiguities and complexities associated with applying the law of proportionality—in its current state and within a cyber context—will leave civilian populations vulnerable to the aggressive cyber actions of the world’s cyber powers. Consequently, this article stresses the necessity of developing a proportionality standard within a unified international cyberwarfare convention and asserts that such a standard is required in order to prevent the creation of a pathway towards lethal cyber aggressions unrestrained by the laws of war

Rigorously assessing software reliability and safety

This paper summarises the state of the art in the assessment of software reliability and safety ("dependability"), and describes some promising developments. A sound demonstration of very high dependability is still impossible before operation of the software; but research is finding ways to make rigorous assessment increasingly feasible. While refined mathematical techniques cannot take the place of factual knowledge, they can allow the decision-maker to draw more accurate conclusions from the knowledge that is available