Gaining Access to Data Sources in Statutory Social Work Agencies: The Long and Winding Road

This paper details a researcher's experience of gaining access to three statutory social work agencies in order to conduct a study examining how social workers respond to family support cases and how parents and carers experience the intervention of social workers in these cases. The stages in gaining access are outlined, the gate-keepers involved at each stage are identified and some of the difficulties encountered are highlighted and discussed. The paper concludes that researchers need to give greater priority to access considerations and that social work agencies need to give greater priority to co-operation with researchers.

A Long and Winding Road to Employment?: Disabled young people in Northern Ireland making the transition to adulthood

This paper presents the findings of a qualitative research project that explores the experiences and aspirations of disabled young people in Northern Ireland as they make and deal with the transition to adulthood. The study involved young people with disabilities (n=76) in four areas of Northern Ireland, ensuring a geographical spread, an urban/rural mix and representation of both communities. Young people with learning disabilities were included as well as those with physical and/or sensory impairments. This paper focuses on those who were completing job training or work placements and examines the role of such schemes in assisting young people’s transition to adulthood. The research found that many young people had positive experiences of work placement and job training and that social interaction was important to them. Few young people, however, had made the actual transition from work placement or training to ‘real’ employment.

Women's Nightwork :deregulation as a straight road to equality?

The book considers the question whether the traditional prohibition of nightwork for female manual workers could be defended against EU (then: EEC) discrimination law requirements and against the German constitution itself. While I was working on the PhD, German labour law still prohibited manual workers (but not white collar employees, or nurses, or policewomen) from working nights. Just before the thesis was published, the German constitutional court held that the prohibition indeed violates the Constitution, but that it must not be repealed without providing for specific protection against health risks ensuing from night work. The Court thus mainly confirmed the thesis' results. The thesis first considers the history of the legislation (which was based on an ILO convention), and discusses the social and health risks related to night work. It then comes to the conclusion that gender roles imply that women are at a greater risk when working nights, but that there is no biological justification (except during pregnancy of course). The thesis further develops a recommendation, based on the constitutional welfare states principle and the constitutional protection of health, to not just abolish the prohibition, but to provide uplevel equalisation of working conditions for women and men. This was the first time I also tried to work comparatively (not perfect at all), but I have certainly improved since then. An English summary of the thesis was published in the 3rd issue of the Cardozo Women's Law Journal 1996, which was also my first ever publicatin in English

Pattern Recognition Approach for Road Collision Hotspots Analysis: Case Study of Northern Ireland

In order to address road safety effectively, it is essential to understand all the factors, which
attribute to the occurrence of a road collision. This is achieved through road safety
assessment measures, which are primarily based on historical crash data. Recent advances
in uncertain reasoning technology have led to the development of robust machine learning
techniques, which are suitable for investigating road traffic collision data. These techniques
include supervised learning (e.g. SVM) and unsupervised learning (e.g. Cluster Analysis).
This study extends upon previous research work, carried out in Coll et al. [3], which
proposed a non-linear aggregation framework for identifying temporal and spatial hotspots.
The results from Coll et al. [3] identified Lisburn area as the hotspot, in terms of road safety,
in Northern Ireland. This study aims to use Cluster Analysis, to investigate and highlight any
hidden patterns associated with collisions that occurred in Lisburn area, which in turn, will
provide more clarity in the causation factors so that appropriate countermeasures can be put
in place.