Between Retrenchment and Recalibration: The Impact of Austerity on the Irish Social Protection System

This article analyzes the impact of austerity on the Irish social protection system. The analysis is situated in Ireland’s wider financial and economic crisis and its status as an ‘early adopter’ of an austerity response which has continued under European Union/International Monetary Fund intervention. We focus on how the crisis instigated a political narrative about the cost and design of the social protection system, leading to a programme of retrenchment and reform which has blended a politics of blame avoidance with credit claiming. Three core elements in this narrative— generosity, sustainability and suitability— are identified, and against this background, a pattern of multi-dimensional change in social protection across the life course dealing with working age, pensions, and child income supports is analyzed

Challenges of developing robust AI for intrapartum fetal heart rate monitoring

Background: CTG remains the only non-invasive tool available to the maternity team for continuous monitoring of fetal well-being during labour. Despite widespread use and investment in staff training, difficulty with CTG interpretation continues to be identified as a problem in cases of fetal hypoxia, which often results in permanent brain injury. Given the recent advances in AI, it is hoped that its application to CTG will offer a better, less subjective and more reliable method of CTG interpretation. Objectives: This mini-review examines the literature and discusses the impediments to the success of AI application to CTG thus far. Prior randomised control trials (RCTs) of CTG decision support systems are reviewed from technical and clinical perspectives. A selection of novel engineering approaches, not yet validated in RCTs, are also reviewed. The review presents the key challenges that need to be addressed in order to develop a robust AI tool to identify fetal distress in a timely manner so that appropriate intervention can be made. Results: The decision support systems used in three RCTs were reviewed, summarising the algorithms, the outcomes of the trials and the limitations. Preliminary work suggests that the inclusion of clinical data can improve the performance of AI-assisted CTG. Combined with newer approaches to the classification of traces, this offers promise for rewarding future development

Futures of European welfare models and policies – Seeking actual research questions, and new problem-solving arsenal for European welfare states

The key research question is to discuss and elaborate the potential value added that futures studies could provide for European citizens and political, social and economic institutions. In the article the problems of European welfare policy issues are theoretically described and analysed. In the article broader framework to understand key policy issues of European welfare policy challenges are defined. A general analysis and generic model for European welfare policy is presented. The Authors also present futures oriented methodological approach to analyse and solve new challenges of European welfare policy problems. Key contributions of this article are: (1) Analysis of theoretical basis for construction of welfare models in future environments, (2) the relationship between research questions and topics in welfare policy planning and management, (3) the analysis of the relationship between futures oriented research questions, methodological stages and outcomes in the field of European welfare policy and (4) the concrete methodological proposal how futures research methodology can help to solve future puzzles of European welfare policy.</p