The On The Streams Model Essay - 916 Words

The streams model was developed John Kingdon in 2003. It is a powerful tool in understanding policy process. It consists of three parallel processes: problem streams, policy streams, and politic streams (Knaggard, 2015). These three parallel process can also go under multiple different names. Problem streams refers to policy problem that requires attention; issues that capture everyone’s attention (Howlett, Ramesh and Perl, 2009). Policy streams, also known as solution streams, pertains to many potential policy solutions that originate from communities of policy experts, also known as, ‘policy primeval soup’ in which policy ideas and solutions are formed, rejected, and selected (Howlett et al.). Lastly, political streams refer to social and political factors such as public opinion, election results, and demands of interest groups (Howlett et al.). Kingdon states that when the three streams joined at a critical moment, it would constitute a policy window (Chow, 20 14). When this window opens, the issue becomes part of the policy agenda and policymaking steps will follow (Chow). The convergence of streams is determined by the presence of policy windows and the actions of policy entrepreneurs (Chow). Policy entrepreneurs, actors who introduce and promote ideas, will the spend time to increase their chances of getting an idea placed on the decision-making agenda (Chow). Strengths of Streams Model Streams model is an enhanced version of the Garbage Can model developed in 1971Show MoreRelatedUsing Kingdon s Policy Streams Model1199 Words   |  5 Pagesone must have in wording the issue. The purpose of this paper is to discuss a problem that has been identified. Background on the problem will be provided, the significance will be examined, and a discussion of the problem using Kingdon’s Policy Streams Model will be delivered. Identification of Problem Immunization via vaccines has been a hot topic of debate in recent years. As with many issues advocates for and against vaccines can be found. The problem that has been identified is that Nevada isRead MoreClassification And Novel Class Detection Approaches Of Feature Evolving Data Stream1716 Words   |  7 PagesEvolving Data Stream Abstract: The classification of data stream is challenging task for data mining community. Dynamic changing nature of data stream has some difficulties such as feature evolution, concept evolution, concept drift and infinite length. As we know that the data streams are huge in amount, it is impractical to store and use all the data for training. Concept drift occurs when underlying concept changes. Concept-evolution occurs as a result of new classes evolving in the stream. 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