890 resultados para Policy Learning


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This paper reviews the policy learning literature in political science. In recent years, the number of publications on learning in the political realm increased dramatically. Researchers have focused on how policymakers and administrators adapt policies based on learning processes or experiences. Thereby, learning has been discussed in very different ways. Authors have referred to learning in the context of ideas, understood as deeply held beliefs, and, as change and adaptation of policy instruments. Two other strands of literature have taken into consideration learning, namely the diffusion literature and research on transfer, which put forward learning to understand who learns from whom and what. Opposed to these views, political learning emphasizes the adaptation of new strategies by policymakers over the transfer of knowledge or broad ideas. In this approach, learning occurs due to the failure of existing policies, increasing problem pressure, scientific innovations, or a combination of these elements.

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This paper analyses learning and implementation of labour market reforms in Switzerland.

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This report synthesizes the findings of 11 country reports on policy learning in labour market and social policies that were conducted as part of WP5 of the INSPIRES project, which is funded by the 7th Framework Program of the EU-Commission. Notably, this report puts forward objectives of policy learning, discusses tools, processes and institutions of policy learning and presents the impacts of various tools and structures of the policy learning infrastructure for the actual policy learning process. The report defines three objectives of policy learning: evaluation and assessment of policy effectiveness, vision building and planning, and consensus building. In the 11 countries under consideration, the tools and processes of the policy learning, infrastructure can be classified into three broad groups: public bodies, expert councils, and parties, interest groups and the private sector. Finally, we develop four recommendations for policy learning: Firstly, learning processes should keep the balance between centralisation and plurality. Secondly, learning processes should be kept stable beyond the usual political business cycles. Thirdly, policy learning tools and infrastructures should be sufficiently independent from political influence or bias. Fourth, Policy learning tools and infrastructures should balance out mere effectiveness, evaluation and vision building.

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This report compares policy learning processes in 11 European countries. Based on the country reports that were produced by the national teams of the INSPIRES project, this paper develops an argument that connects problem pressure and politicization to learning in different labor market innovations. In short, we argue that learning efforts are most likely to impact on policy change if there is a certain problem pressure that clearly necessitates political action. On the other hand, if problem pressure is very low, or so high that governments need to react immediately, chances are low that learning impacts on policy change. The second part of our argument contends that learning impacts on policy change especially if a problem is not very politicized, i.e. there are no main conflicts concerning a reform, because then, solutions are wound up in the search for a compromise. Our results confirm our first hypothesis regarding the connection between problem pressure and policy learning. Governments learn indeed up to a certain degree of problem pressure. However, once political action becomes really urgent, i.e. in anti-crisis policies, there is no time and room for learning. On the other hand, learning occurred independently from the politicization of problem. In fact, in countries that have a consensual political system, learning occurred before the decision on a reform, whereas in majoritarian systems, learning happened after the adoption of a policy during the process of implementation.

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Esta pesquisa analisará o aprendizado em organizações do terceiro setor a partir de dois eixos principais: 1) Aprendizado através de análises empíricas (Avaliação de Impacto) - Pretende-se entender as principais recomendações para o terceiro setor em relação a Avaliação de Impacto e qual o cenário atual dessas práticas no contexto brasileiro. Para isso, foram entrevistadas 50 instituições que fazem parte de uma rede de organizações na área de educação, para entender como a avaliação vem sendo aplicada; 2) Aprendizado através da dimensão de Policy Learning: Social Learning e Instrumental Learning – Estabelecimento de conexão de teorias de aprendizado em políticas públicas com as instituições do terceiro setor e análise de possibilidades de aprendizado através de outras experiências e boas práticas.

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This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control policies using any RL algorithm can be very time consuming, we propose to combine RL algorithms with heuristic functions for selecting promising actions during the learning process. With this aim, we investigate the use of heuristics for increasing the rate of convergence of RL algorithms and contribute with a new learning algorithm, Heuristically Accelerated Q-learning (HAQL), which incorporates heuristics for action selection to the Q-Learning algorithm. Experimental results on robot navigation show that the use of even very simple heuristic functions results in significant performance enhancement of the learning rate.

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This paper reports on research findings from a larger study which seeks to understand leadership from the experiences of well-known and well-recognised Australian leaders across a spectrum of endeavours such as the arts, business, science, the law and politics. To date there appears to be limited empirical research that has investigated the insights of Australian leaders regarding their leadership experiences, beliefs and practices. In this paper, the leadership story of a well-respected medical scientist is discussed revealing the contextual factors that influenced her thinking about leadership as well as the key values she embodies as a leader. The paper commences by briefly considering some of the salient leadership literature in the field. In particular, two prominent theoretical frameworks provided by Leavy (2003)and Kouzes and Posner (2002) are explored. While Leavy’s framework construes leadership as consisting of three “C’s” – context , conviction and credibility, Kouzes and Posner (2002)refer to five practices of exemplary leadership. The paper provides a snapshot of the life forces and context that played an important role in shaping the leader’s views and practices. An analytical discussion of these practices is considered in the light of the earlier frameworks identified. Some implications of the findings from this non-education context for those in schools are briefly noted.

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The EU represents a transforming educational space, where national and supranational boundaries in educational governance are becoming blurred. The EU has become an important actor in educational governance and an important arena for policy learning and transfer. This paper explores how the process of reshaping the educational space manifests itself in the process of the Europeanization of VET policy in the case of Estonia. In Estonia, this process was followed by the growth of executive VET institutions and has developed from rather uncritical initial policy transfer to more active learning from the EU, although conformism can still be seen in cases of the introduction of standardizing policy tools. (DIPF/Orig.)

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La politique militaire de la France en Afrique est en évolution. La véracité factuelle de ce constat est désormais difficilement contestable. Ce changement s’observe d’abord dans le discours où l’on parle de plus en plus d’anciennes pratiques dépassées et reconnaît que ce qui était politiquement possible et admis il y a vingt ans ne l’est plus aujourd’hui. Ce processus s’incarne ensuite dans la modification des instruments d’action ainsi que dans les modes et les niveaux d’utilisation de ces instruments. Partant de ces considérations, le présent travail se propose d’examiner les facteurs à l’origine de cette évolution. Il part des réponses jusqu’ici proposées pour apporter un éclairage nouveau au sujet des forces et dynamiques à la base des changements annoncés ou observés. Contrairement à la littérature existante qui a jusqu’ici privilégié les approches matérialistes et utilitaristes pour expliquer les transformations entreprises et celles promises dans la politique militaire africaine de la France, cette étude propose, à l’inverse, une perspective inspirée des approches cognitives et axée sur le processus d’apprentissage. Ainsi, plutôt que de voir dans les réformes ici analysées le résultat exclusif de changements structurels ou systémiques survenus dans l’environnement économique, social ou international des États, notre analyse fera davantage valoir que cette transformation a pour l’essentiel été une adaptation faite à la lumière des leçons tirées d’expériences antérieures. Cette analyse s’appuie sur l’Advocacy Coalition Framework. Développée par Paul A Sabatier et ses collègues, il postule que la prise de décision en matière de politique publique peut être mieux comprise comme une compétition entre coalitions de cause, chacune étant constituée d’acteurs provenant d’une multitudes d’institutions (leaders de groupes d’intérêt, agences administratives, chercheurs, journalistes) qui partagent un système de croyances lié à l’action publique et qui s’engagent dans un effort concerté afin de traduire des éléments de leur système de croyances en une politique publique.