Politics, Power, PISA: a genealogy of mathematics education policy at second level in Ireland at the beginning of the 21st century

This thesis traces a genealogy of the discourse of mathematics education reform in Ireland at the beginning of the twenty first century at a time when the hegemonic political discourse is that of neoliberalism. It draws on the work of Michel Foucault to identify the network of power relations involved in the development of a single case of curriculum reform – in this case Project Maths. It identifies the construction of an apparatus within the fields of politics, economics and education, the elements of which include institutions like the OECD and the Government, the bureaucracy, expert groups and special interest groups, the media, the school, the State, state assessment and international assessment. Five major themes in educational reform emerge from the analysis: the arrival of neoliberal governance in Ireland; the triumph of human capital theory as the hegemonic educational philosophy here; the dominant role of OECD/PISA and its values in the mathematics education discourse in Ireland; the fetishisation of western scientific knowledge and knowledge as commodity; and the formation of a new kind of subjectivity, namely the subjectivity of the young person as a form of human-capital-to-be. In particular, it provides a critical analysis of the influence of OECD/PISA on the development of mathematics education policy here – especially on Project Maths curriculum, assessment and pedagogy. It unpacks the arguments in favour of curriculum change and lays bare their ideological foundations. This discourse contextualises educational change as occurring within a rapidly changing economic environment where the concept of the State’s economic aspirations and developments in science, technology and communications are reshaping both the focus of business and the demands being put on education. Within this discourse, education is to be repurposed and its consequences measured against the paradigm of the Knowledge Economy – usually characterised as the inevitable or necessary future of a carefully defined present.

Application description and policy model in collaborative environment for sharing of information on epidemiological and clinical research data sets.

BACKGROUND: Sharing of epidemiological and clinical data sets among researchers is poor at best, in detriment of science and community at large. The purpose of this paper is therefore to (1) describe a novel Web application designed to share information on study data sets focusing on epidemiological clinical research in a collaborative environment and (2) create a policy model placing this collaborative environment into the current scientific social context. METHODOLOGY: The Database of Databases application was developed based on feedback from epidemiologists and clinical researchers requiring a Web-based platform that would allow for sharing of information about epidemiological and clinical study data sets in a collaborative environment. This platform should ensure that researchers can modify the information. A Model-based predictions of number of publications and funding resulting from combinations of different policy implementation strategies (for metadata and data sharing) were generated using System Dynamics modeling. PRINCIPAL FINDINGS: The application allows researchers to easily upload information about clinical study data sets, which is searchable and modifiable by other users in a wiki environment. All modifications are filtered by the database principal investigator in order to maintain quality control. The application has been extensively tested and currently contains 130 clinical study data sets from the United States, Australia, China and Singapore. Model results indicated that any policy implementation would be better than the current strategy, that metadata sharing is better than data-sharing, and that combined policies achieve the best results in terms of publications. CONCLUSIONS: Based on our empirical observations and resulting model, the social network environment surrounding the application can assist epidemiologists and clinical researchers contribute and search for metadata in a collaborative environment, thus potentially facilitating collaboration efforts among research communities distributed around the globe.

Priority questions to shape the marine and coastal policy research agenda in the United Kingdom

United Kingdom (UK) and European Union policy is rapidly developing to meet international targets for the sustainable use and protection of the marine environment. To inform this process, research needs to keep pace with these changes and research questions must be focused on providing robust scientific evidence. Thirty four priority research questions within six broad themes were identified by delegates who attended the 1st marine and coastal policy Forum, hosted by the Centre for Marine and Coastal Policy Research at Plymouth University in June 2011. The priority questions formed through this research are timely and reflect the pace and change of marine policy in the UK in response to international, European and national policy drivers. Within the data theme, the majority of questions seek to find improved procedures to manage and use data effectively. Questions related to governance focus on how existing policies should be implemented. The marine conservation questions focus entirely upon implementation and monitoring of existing policy. Questions related to ecosystem services focus on research to support the conceptual links between ecosystem services, ecosystem function, and marine management. Questions relating to marine citizenship are fundamental questions about the nature of societal engagement with the sea. Finally, the marine planning questions focus upon understanding the general approaches to be taken to marine planning rather than its detailed implementation. The questions that have emerged from this process vary in scale, approach and focus. They identify the interdisciplinary science that is currently needed to enable the UK to work towards delivering its European and international commitments to achieve the sustainable use and protection of the marine environment

Regenerative Medicine and New Labour Life Science Policy: Rhetorics of Success, Narratives of Sustainability and Survival

Advances in stem cell science and tissue engineering are being turned into applications and products through a novel medical paradigm known as regenerative medicine. This paper begins by examining the vulnerabilities and risks encountered by the regenerative medicine industry during a pivotal moment in its scientific infancy: the 2000s. Under the auspices of New Labour, British medical scientists and life science innovation firms associated with regenerative medicine, received demonstrative rhetorical pledges of support, aligned with the publication of a number of government initiated reports presaged by Bioscience 2015: Improving National Health, Increasing National Wealth. The Department of Health and the Department of Trade and Industry (and its successors) held industry consultations to determine the best means by which innovative bioscience cultures might be promoted and sustained in Britain. Bioscience 2015 encapsulates the first chapter of this sustainability narrative. By 2009, the tone of this storyline had changed to one of survivability. In the second part of the paper, we explore the ministerial interpretation of the ‘bioscience discussion cycle’ that embodies this narrative of expectation, using a computer-aided content analysis programme. Our analysis notes that the ministerial interpretation of these reports has continued to place key emphasis upon the distinctive and exceptional characteristics of the life science industries, such as their ability to perpetuate innovations in regenerative medicine and the optimism this portends – even though many of the economic expectations associated with this industry have remained unfulfilled.

Scientific standards for human intervention trials evaluating health benefits of foods, and their application to infants, children and adolescents

Associations between the consumption of particular foods and health outcomes may be indicated by observational studies. However, intervention trials that evaluate the health benefits of foods provide the strongest evidence to support dietary recommendations for health. Thus, it is important that these trials are carried out safely, and to high scientific standards. Accepted standards for the reporting of the health benefits of pharmaceutical and other medical interventions have been provided by the Consolidated Standards of Reporting Trials (CONSORT) statement. However, there are no generally accepted standards for trials to evaluate the health benefits of foods. Trials with foods differ from medical trials in issues related to safety, ethics, research governance and practical implementation. Furthermore, these important issues can deter the conduct of both medical and nutrition trials in infants, children and adolescents. This paper provides standards for the planning, design, conduct, statistical analysis and interpretation of human intervention trials to evaluate the health benefits of foods that are based on the CONSORT guidelines, and outlines the key issues that need to be addressed in trials in participants in the paediatric age range.

Environmental governance in China: weakness and potential from an environmental policy integration perspective

Interest in China’s capacity for environmental governance is growing, in line with its environmental woes and exponential economic growth. Environmental policy efforts have lacked effectiveness, confirming the persistence of a disjuncture between promise and performance. This article contributes to the debate through the analytical lens of Environmental Policy Integration (EPI): a normative concept and governance regime indispensable to sustainable development. It finds that China,like most OECD countries, falls short of the concept. Despite encouraging recent changes, driven by the Hu-Wen regime, and encapsulated in the idea of scientific development, the analysis reveals weaknesses in all three EPI-type responses: normative, organisational and procedural. The disjuncture is confirmed, but drawing on EPI’s normative perspective, it is suggested that the reasons for this lie as much in the framing of the promise, as in the performance, or implementation, itself. Based on this interpretation and on China’s unique extreme characteristics, it is recommended that environmental policy objectives be given principled priority status, as a condition for effective governance.

Managing Antimicrobial Resistance In Food Production : Conflicts Of Interest And Politics In The Development Of Public Health Policy

Antimicrobial resistance is a growing public health concern and is associated with the over or inappropriate use of antimicrobials in both humans and agriculture. While there has been recognition of this problem on the part of agricultural and public health authorities, there has nonetheless been significant difficulty in translating policy recommendations into practical guidelines. In this paper, we examine the process of public health policy development in Quebec agriculture, with a focus on the case of pork production and the role of food animal veterinarians in policy making. We argue that a tendency to employ strictly techno-scientific risk analyses of antimicrobial use ignores the fundamental social, economic and political realities of key stakeholders and so limits the applicability of policy recommendations developed by government advisory groups. In particular, we suggest that veterinarians’ personal and professional interests, and their ethical norms of practice, are key factors to both the problem of and the solution to the current over-reliance on antimicrobials in food production.

Barriers of evidence based policy making in iran's health system

La formation des sociétés fondées sur la connaissance, le progrès de la technologie de communications et un meilleur échange d'informations au niveau mondial permet une meilleure utilisation des connaissances produites lors des décisions prises dans le système de santé. Dans des pays en voie de développement, quelques études sont menées sur des obstacles qui empêchent la prise des décisions fondées sur des preuves (PDFDP) alors que des études similaires dans le monde développé sont vraiment rares. L'Iran est le pays qui a connu la plus forte croissance dans les publications scientifiques au cours de ces dernières années, mais la question qui se pose est la suivante : quels sont les obstacles qui empêchent l'utilisation de ces connaissances de même que celle des données mondiales? Cette étude embrasse trois articles consécutifs. Le but du premier article a été de trouver un modèle pour évaluer l'état de l'utilisation des connaissances dans ces circonstances en Iran à l’aide d'un examen vaste et systématique des sources suivie par une étude qualitative basée sur la méthode de la Grounded Theory. Ensuite au cours du deuxième et troisième article, les obstacles aux décisions fondées sur des preuves en Iran, sont étudiés en interrogeant les directeurs, les décideurs du secteur de la santé et les chercheurs qui travaillent à produire des preuves scientifiques pour la PDFDP en Iran. Après avoir examiné les modèles disponibles existants et la réalisation d'une étude qualitative, le premier article est sorti sous le titre de «Conception d'un modèle d'application des connaissances». Ce premier article sert de cadre pour les deux autres articles qui évaluent les obstacles à «pull» et «push» pour des PDFDP dans le pays. En Iran, en tant que pays en développement, les problèmes se situent dans toutes les étapes du processus de production, de partage et d’utilisation de la preuve dans la prise de décision du système de santé. Les obstacles qui existent à la prise de décision fondée sur des preuves sont divers et cela aux différents niveaux; les solutions multi-dimensionnelles sont nécessaires pour renforcer l'impact de preuves scientifiques sur les prises de décision. Ces solutions devraient entraîner des changements dans la culture et le milieu de la prise de décision afin de valoriser la prise de décisions fondées sur des preuves. Les critères de sélection des gestionnaires et leur nomination inappropriée ainsi que leurs remplaçants rapides et les différences de paiement dans les secteurs public et privé peuvent affaiblir la PDFDP de deux façons : d’une part en influant sur la motivation des décideurs et d'autre part en détruisant la continuité du programme. De même, tandis que la sélection et le remplacement des chercheurs n'est pas comme ceux des gestionnaires, il n'y a aucun critère pour encourager ces deux groupes à soutenir le processus décisionnel fondés sur des preuves dans le secteur de la santé et les changements ultérieurs. La sélection et la promotion des décideurs politiques devraient être basées sur leur performance en matière de la PDFDP et les efforts des universitaires doivent être comptés lors de leurs promotions personnelles et celles du rang de leur institution. Les attitudes et les capacités des décideurs et des chercheurs devraient être encouragés en leur donnant assez de pouvoir et d’habiliter dans les différentes étapes du cycle de décision. Cette étude a révélé que les gestionnaires n'ont pas suffisamment accès à la fois aux preuves nationales et internationales. Réduire l’écart qui sépare les chercheurs des décideurs est une étape cruciale qui doit être réalisée en favorisant la communication réciproque. Cette question est très importante étant donné que l'utilisation des connaissances ne peut être renforcée que par l'étroite collaboration entre les décideurs politiques et le secteur de la recherche. Dans ce but des programmes à long terme doivent être conçus ; la création des réseaux de chercheurs et de décideurs pour le choix du sujet de recherche, le classement des priorités, et le fait de renforcer la confiance réciproque entre les chercheurs et les décideurs politiques semblent être efficace.

Nothing New (Ethically) Under the Sun: Policy & Clinical Implications of Nanomedicine

Article

Autonomous underwater vehicle control using reinforcement learning policy search methods

Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task

Nitrate transport in Chalk catchments: monitoring, modelling and policy implications

Rising nitrate levels have been observed in UK Chalk catchments in recent decades, with concentrations now approaching or exceeding legislated maximum values in many areas. In response, strategies seeking to contain concentrations through appropriate land management are now in place. However, there is an increasing consensus that Chalk systems, a predominant landscape type over England and indeed northwest Europe, can retard decades of prior nitrate loading within their deep unsaturated zones. Current levels may not fully reflect the long-term impact of present-day practices, and stringent land management controls may not be enough to avert further medium-term rises. This paper discusses these issues in the context of the EU Water Framework Directive, drawing on data from recent experimental work and a new model (INCA-Chalk) that allows the impacts of different land use management practices to be explored. Results strongly imply that timelines for water quality improvement demanded by the Water Framework directive are not realistic for the Chalk, and give an indication of time-scales over which improvements might be achieved. However, important unresolved scientific issues remain, and further monitoring and targeted data collection is recommended to reduce prediction uncertainties and allow cost effective strategies for mitigation to be designed and implemented. (C) 2007 Elsevier Ltd. All rights reserved.