Ambiguity, multiple streams, and EU policy

The multiple streams framework draws insight from interactions between agency and institutions to explore the impact of context, time, and meaning on policy change and to assess the institutional and issue complexities permeating the European Union (EU) policy process. The authors specify the assumptions and structure of the framework and review studies that have adapted it to reflect more fully EU decision-making processes. The nature of policy entrepreneurship and policy windows are assessed to identify areas of improvement. Finally, the authors sketch out a research agenda that refines the logic of political manipulation which permeates the lens and the institutional complexity which frames the EU policy process

Punctuated equilibrium theory in Brazilian public policy: the case of Ceará

Este artigo faz uma análise do processo de decisão orçamental dos municípios do Estado do Ceará. Através deste estudo, procura-se perceber em que medida a distribuição dos orçamentos aos governos locais sofrem (ou não) variações. Já em um segundo momento, tenta-se depreender quais as receitas de cada um dos municípios (as variáveis independentes) que melhor descrevem e auxiliam a opção política de investimento local (esta será a variável dependente). Considerando o período de 2006 a 2010 e fazendo uso de um desenho de pesquisa de tipo transversal, conclui-se que nos governos locais do Ceará o investimento público apresenta períodos de estabilidade seguido por períodos de grande alteração dos orçamentos – confirmando a hipótese de pesquisa. Estas conclusões confirmam os pressupostos da teoria do equilíbrio pontuado. Conclui-se igualmente que o investimento público que vem sendo realizado é dependente das transferências que a União faz para os governos locais do Estado do Ceará e das receitas de capital. Face a estas condições, é pertinente equacionar até que nível e grau o endividamento pode ocorrer em virtude da escassez cada vez maior do financiamento público.This research aims to analyze the budget decision process in Ceará municipalities in order to understand in which way budget distributions change (or not) during the research period under consideration. This research also aims to understand which revenues (the independent variables) of each municipality better expla in the political choices for local government investments (the dependent variable). Making use of data from 2006 to 2010 and using a cross - sectional research design, the study concludes a stability in local government investments periods of stress where su ch investments have both positive and negative significant fluctuations – confirming our working hypothesis. These results confirm punctuated Equilibrium Theory assumptions and also find that local government public investment is dependent on money transfe rs from the central government and also from capital revenues. Thus, it is important to question to what degree public indebtedness should be allowed, due to a scarcity of public fundsinfo:eu-repo/semantics/publishedVersio

Policy Toolkits on Employment and Ageing: A Conceptual Framework

Policy toolkits provide useful information and can be drawn upon as guidance in different stages of the policy-making process. This chapter reviews existing policy toolkits on employment and ageing, aiming to distil a conceptual categorisation intended to inform research uptake strategies. As a basis, we develop a clear definition of policy toolkits and propose a typology of policy tools that consists of four types: (1) good practice, (2) social indicators, (3) programme evaluation and (4) forecasts, projections and simulations. We also describe the underlying relationship between research and policy-making, and provide a synthetic overview of toolkits available for ageing-related issues in the area of employment and pensions. We conclude with the observation that effective policy toolkits hinge on the prior formulation of clear policy goals and that different policy goals may not always be congruent with each other or be simultaneously achieved

The politics of regulatory enforcement and compliance: Theorizing and operationalizing political influences

There is broad consensus in the literature on regulatory enforcement and compliance that politics matters. However, there is little scholarly convergence on what politics is or rigorous theorization and empirical testing of how politics matters. Many enforcement and compliance studies omit political variables altogether. Among those that address political influences on regulatory outcomes, politics has been defined in myriad ways and, too often, left undefined. Even when political constructs are explicitly operationalized, the mechanisms by which they influence regulatory outcomes are thinly hypothesized or simply ignored. If politics is truly as important to enforcement and compliance outcomes as everyone in the field seems to agree, regulatory scholarship must make a more sustained and systematic effort to understand their relationship, because overlooking this connection risks missing what is actually driving regulatory outcomes. This article examines how the construct of “politics” has been conceptualized in regulatory theory and analyzes how it has been operationalized in empirical studies of regulatory enforcement and compliance outcomes. It brings together scholarship across disciplines that rarely speak but have much to say to one another on this subject in order to constitute a field around the politics of regulation. The goal is to sharpen theoretical and empirical understandings of when and how regulation works by better accounting for the role politics plays in its enforcement

The strategies WDK: a graphical search interface and web development kit for functional genomics databases

Web sites associated with the Eukaryotic Pathogen Bioinformatics Resource Center (EuPathDB.org) have recently introduced a graphical user interface, the Strategies WDK, intended to make advanced searching and set and interval operations easy and accessible to all users. With a design guided by usability studies, the system helps motivate researchers to perform dynamic computational experiments and explore relationships across data sets. For example, PlasmoDB users seeking novel therapeutic targets may wish to locate putative enzymes that distinguish pathogens from their hosts, and that are expressed during appropriate developmental stages. When a researcher runs one of the approximately 100 searches available on the site, the search is presented as a first step in a strategy. The strategy is extended by running additional searches, which are combined with set operators (union, intersect or minus), or genomic interval operators (overlap, contains). A graphical display uses Venn diagrams to make the strategy’s flow obvious. The interface facilitates interactive adjustment of the component searches with changes propagating forward through the strategy. Users may save their strategies, creating protocols that can be shared with colleagues. The strategy system has now been deployed on all EuPathDB databases, and successfully deployed by other projects. The Strategies WDK uses a configurable MVC architecture that is compatible with most genomics and biological warehouse databases, and is available for download at code.google.com/p/strategies-wdk

Health inequalities, fundamental causes and power:Towards the practice of good theory

Reducing health inequalities remains a challenge for policy makers across the world. Beginning from Lewin’s famous dictum that “there is nothing as practical as a good theory”, this paper begins from an appreciative discussion of ‘fundamental cause theory’, emphasizing the elegance of its theoretical encapsulation of the challenge, the relevance of its critical focus for action, and its potential to support the practical mobilisation of knowledge in generating change. Moreover, it is argued that recent developments in the theory, provide an opportunity for further theoretical development focused more clearly on the concept of power (Dickie et al. 2015). A critical focus on power as the essential element in maintaining, increasing or reducing social and economic inequalities – including health inequalities – can both enhance the coherence of the theory, and also enhance the capacity to challenge the roots of health inequalities at different levels and scales. This paper provides an initial contribution by proposing a framework to help to identify the most important sources, forms and positions of power, as well as the social spaces in which they operate. Subsequent work could usefully test, elaborate and adapt this framework, or indeed ultimately replace it with something better, to help focus actions to reduce inequalities

Comparative Microbial Modules Resource: Generation and Visualization of Multi-species Biclusters

The increasing abundance of large-scale, high-throughput datasets for many closely related organisms provides opportunities for comparative analysis via the simultaneous biclustering of datasets from multiple species. These analyses require a reformulation of how to organize multi-species datasets and visualize comparative genomics data analyses results. Recently, we developed a method, multi-species cMonkey, which integrates heterogeneous high-throughput datatypes from multiple species to identify conserved regulatory modules. Here we present an integrated data visualization system, built upon the Gaggle, enabling exploration of our method's results (available at http://meatwad.bio.nyu.edu/cmmr.html). The system can also be used to explore other comparative genomics datasets and outputs from other data analysis procedures – results from other multiple-species clustering programs or from independent clustering of different single-species datasets. We provide an example use of our system for two bacteria, Escherichia coli and Salmonella Typhimurium. We illustrate the use of our system by exploring conserved biclusters involved in nitrogen metabolism, uncovering a putative function for yjjI, a currently uncharacterized gene that we predict to be involved in nitrogen assimilation

cPath: open source software for collecting, storing, and querying biological pathways

BACKGROUND: Biological pathways, including metabolic pathways, protein interaction networks, signal transduction pathways, and gene regulatory networks, are currently represented in over 220 diverse databases. These data are crucial for the study of specific biological processes, including human diseases. Standard exchange formats for pathway information, such as BioPAX, CellML, SBML and PSI-MI, enable convenient collection of this data for biological research, but mechanisms for common storage and communication are required. RESULTS: We have developed cPath, an open source database and web application for collecting, storing, and querying biological pathway data. cPath makes it easy to aggregate custom pathway data sets available in standard exchange formats from multiple databases, present pathway data to biologists via a customizable web interface, and export pathway data via a web service to third-party software, such as Cytoscape, for visualization and analysis. cPath is software only, and does not include new pathway information. Key features include: a built-in identifier mapping service for linking identical interactors and linking to external resources; built-in support for PSI-MI and BioPAX standard pathway exchange formats; a web service interface for searching and retrieving pathway data sets; and thorough documentation. The cPath software is freely available under the LGPL open source license for academic and commercial use. CONCLUSION: cPath is a robust, scalable, modular, professional-grade software platform for collecting, storing, and querying biological pathways. It can serve as the core data handling component in information systems for pathway visualization, analysis and modeling

Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies

This paper summarises the lessons and experiences gained from a case study of the application of semantic web technologies to the integration of data from the bacterial species Francisella tularensis novicida (Fn). Fn data sources are disparate and heterogeneous, as multiple laboratories across the world, using multiple technologies, perform experiments to understand the mechanism of virulence. It is hard to integrate these data sources in a flexible manner that allows new experimental data to be added and compared when required