This book provides a series of contemporary and international policy case studies analysed through discursive methodological approaches in the traditions of critical discourse analysis, social semiotics and discourse theory. This is the first volume that connects this discursive methodology systematically to the field of critical policy analysis and will therefore be an essential book for researchers who wish to include a discursive analysis in their critical policy research.
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This chapter presents Critical Policy Discourse Analysis (CPDA) which merges critical discourse analysis (CDA) with critical policy studies (CPS). CPDA engages with a discursive analysis of a policy problem, generally drawing on critical discourse analysis for its methodology, in this case Text Oriented Discourse Analysis (TODA). The research addresses the problem of complexity reduction in the process of policy-making and illustrates this with an analysis of the UN Agenda “Transforming the World, the 2030 Agenda for Sustainable Development”, which introduces the sustainable development goals (SDGs). It presents the reader with a detailed example of how to perform a TODA research. It indeed reveals mechanisms of policy reduction such as decontextualization, singularization, a limited spatio-temporal frame reduced to the timespan of the UN. It discusses the potential consequences of this for the effectivity of the SDGs and presents alternative theories and voices that do capture the complexity of real life events. The final section suggests further developments in CPDA and advocates bringing complexity to the fore.
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Policy analysis is a broad and versatile field of applied policy research and advice, where a multitude of perspectives and methods have developed. In this paper, we attempt to (re)structure the discipline in a single conceptual model. The model was derived on the basis of a review of relevant literature on policy analysis styles and a review of about 20 exemplary cases in the field of technology, policy and management. The model serves three purposes: understanding of policy analysis as a discipline, contribution to the design of new policy analysis methods and projects, and guidance for evaluating such methods and projects. The model identifies six activities and translates these into six underlying policy analytic styles. Each style implies different values, and calls for different criteria when it comes to evaluation. An important claim of the model is that, in practice, policy analysis consists of creatively combining these activities and styles.
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Shared Vision Planning (SVP) is a collaborative approach to water (resource) management that combines three practices: (1) traditional water resources planning; (2) structured participation of stakeholders; (3) (collaborative) computer modeling and simulation. The authors argue that there are ample opportunities for learning and innovation in SVP when we look at it as a form of Policy Analysis (PA) in a multi-actor context. SVP faces three classic PA dilemmas: (1) the role of experts and scientific knowledge in policymaking; (2) The design and management of participatory and interactive planning processes; and (3) the (ab)use of computer models and simulations in (multi actor) policymaking. In dealing with these dilemmas, SVP can benefit from looking at the richness of PA methodology, such as for stakeholder analysis and process management. And it can innovate by incorporating some of the rapid developments now taking place in the field of (serious) gaming and simulation (S&G) for policy analysis. In return, the principles, methods, and case studies of SVP can significantly enhance how we perform PA for multi-actor water (resource) management.
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Mainstream views of Dutch foreign policy seem to be based upon a persistent assumption that, as a small Western European country, foreign policy is characterized by fundamental stability and continuity. In some regards this stability has almost become a policy and organizational guideline; however, this emphasis on stability as an empirical reality and management standard may be the result of inadequate concepts and models of foreign policy and organizational change. The following research questions are addressed in this article. What are the main carriers and barriers in Dutch foreign policy and organizational change? How can insights from international relations studies, and policy and organization studies be combined to give a model of foreign policy and organizational change? We propose a model based on 11 carriers and barriers for change at four levels of analysis: the international system; the national system; the organizational system; and the individual system. These carriers and barriers are used to explain three types of foreign policy change: policy instruments; strategy and goals; and political and normative foundations. Organizational change concerns: (1) change of roles; (2) change of tasks; (3) change of size of tasks and roles; (4) change of division of tasks and roles; and (5) change of the portfolio of tasks and roles. We discuss Dutch foreign policy towards its former colony Surinam and end with some suggestions for further research.
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In a participatory style, various types of policy-relevant actors participate and communicate actively during the process of analysis, although the objectives and nature of participation can differ extensively from case to case. The consensus conference has attracted great interest from policy analysts, technology assessment (TA) institutions, and technology policy makers in Europe. The management of complex policy problems is determined by three strategic needs. Policy analysis requires: knowledge management, process management, and network management. The flow of policy-relevant information can be portrayed from the initiator via the policy analyst to the relevant societal stakeholders or participants. The consensus conference is a method to establish active public participation and consultation in science and technology. The interest in consensus conferences by organisations and institutions outside Denmark may partly be explained by developments in science and technology policy in Europe. Human genetics research has been the subject of TA in many countries such as Denmark, the UK and the United States.
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Does policy analysis exist outside the United States, or are the arts and crafts of policy analysis across the Atlantic a weakened and disoriented branch of the real thing, as the citations above seem to suggest? If policy analysis exists outside the United States-and from our point of interest in the Netherlands in particular-did it come about through a mere transplantation of theories, institutions, and methods originally developed in the United States; or has policy analysis outside the United States an autonomous value, contribution, and evolution? The different contributions and evolutions of policy analysis for instance appear in the various and changing connotations of the word “policy analysis” in national languages. In the Netherlands, for instance, the notion beleidsanalyse-the literal translation of policy analysis-is an ambiguous and somewhat problematic concept. It was fi rst introduced in the early 1970s as a deliberate and programmatic effort to rationalize public policy making in all public policy domains. During the early 1980s, the notion attracted a rather negative connotation, due to the failure of a governmental program by that name, the so-called committee for the development of policy analysis (COBA; de Commissie voor de Ontwikkeling van BeleidsAnalyse). Many now prefer to use equivalents such as applied policy research or research based advice instead. But as I shall demonstrate in this paper, the notion beleidsanalyse is making a remarkable comeback since the turn of the century while it is being used for fi nancial and performance accountability in the public sector. Thus, starting from the observation that different countries show different connotations and evolutions of policy analysis, I will analyze in this paper the evolution of policy analysis in the Netherlands on the basis of the following questions: What are the main characteristics (features) of policy analysis in the Netherlands? What changes, if any, have occurred in policy analysis in the Netherlands since the Second World War and what triggered these changes?
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This article presents a critical examination of European policy in relation to gamification. We begin by describing how gamification “traveled” as an idea, evolving from controversial yet persuasive buzzword to legitimate policy priority. We then focus on how gamification was represented in Horizon 2020: the flagship European Research & Development program from 2014 to 2020, worth nearly €80 billion of funding. The article argues that the ethically problematic aspects of gamification were removed through a process of policy capture that involved its assimilation in an established European network of research and small and medium enterprise (SME) actors. This process of “ethical neutering” is also observable in the actual funding calls, where the problematic assumptions of gamification around agency and manipulation are made invisible through a superficial commitment to vague and ill-defined criteria of responsible research and innovation.
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In January 2017, relations between Greece and Turkey were under severe strain when warships from both sides engaged in a brief standoff near a pair of uninhabited Greek ‘islets’ in the Aegean, whose sovereignty is disputed by Turkey. Theoretically informed by the literature of foreign policy analysis, we examine how the Greek diplomats, military officers and political analysts interpreted Turkey’s behaviour at that particular time. The article considers the following research question: which factors, from a Greek point of view, explain Turkey’s foreign policy in the Aegean in January 2017? Our theoretical expectation is that, in the aftermath of the coup attempt in Turkey, Greek diplomats, military officers and political analysts would ascribe domestic calculations into Turkey’s activities. We employed Q- methodology to uncover socially shared perspectives on this topic. Based on our findings, we uncovered two viewpoints: (1) Turkey’s diachronic strategy in the Aegean and (2) the strongman style. According to the former and most widely shared viewpoint, a consistent ‘rationalist’ strategy to change the status quo in the Aegean explains Turkey’s behaviour. According to the second one, the belief system of Turkey’s leadership legitimises the use of force in the conduct of foreign policy.
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Abstract: Background: Chronic obstructive pulmonary disease (COPD) and asthma have a high prevalence and disease burden. Blended self-management interventions, which combine eHealth with face-to-face interventions, can help reduce the disease burden. Objective: This systematic review and meta-analysis aims to examine the effectiveness of blended self-management interventions on health-related effectiveness and process outcomes for people with COPD or asthma. Methods: PubMed, Web of Science, COCHRANE Library, Emcare, and Embase were searched in December 2018 and updated in November 2020. Study quality was assessed using the Cochrane risk of bias (ROB) 2 tool and the Grading of Recommendations, Assessment, Development, and Evaluation. Results: A total of 15 COPD and 7 asthma randomized controlled trials were included in this study. The meta-analysis of COPD studies found that the blended intervention showed a small improvement in exercise capacity (standardized mean difference [SMD] 0.48; 95% CI 0.10-0.85) and a significant improvement in the quality of life (QoL; SMD 0.81; 95% CI 0.11-1.51). Blended intervention also reduced the admission rate (relative ratio [RR] 0.61; 95% CI 0.38-0.97). In the COPD systematic review, regarding the exacerbation frequency, both studies found that the intervention reduced exacerbation frequency (RR 0.38; 95% CI 0.26-0.56). A large effect was found on BMI (d=0.81; 95% CI 0.25-1.34); however, the effect was inconclusive because only 1 study was included. Regarding medication adherence, 2 of 3 studies found a moderate effect (d=0.73; 95% CI 0.50-0.96), and 1 study reported a mixed effect. Regarding self-management ability, 1 study reported a large effect (d=1.15; 95% CI 0.66-1.62), and no effect was reported in that study. No effect was found on other process outcomes. The meta-analysis of asthma studies found that blended intervention had a small improvement in lung function (SMD 0.40; 95% CI 0.18-0.62) and QoL (SMD 0.36; 95% CI 0.21-0.50) and a moderate improvement in asthma control (SMD 0.67; 95% CI 0.40-0.93). A large effect was found on BMI (d=1.42; 95% CI 0.28-2.42) and exercise capacity (d=1.50; 95% CI 0.35-2.50); however, 1 study was included per outcome. There was no effect on other outcomes. Furthermore, the majority of the 22 studies showed some concerns about the ROB, and the quality of evidence varied. Conclusions: In patients with COPD, the blended self-management interventions had mixed effects on health-related outcomes, with the strongest evidence found for exercise capacity, QoL, and admission rate. Furthermore, the review suggested that the interventions resulted in small effects on lung function and QoL and a moderate effect on asthma control in patients with asthma. There is some evidence for the effectiveness of blended self-management interventions for patients with COPD and asthma; however, more research is needed. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42019119894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=119894
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