A methodology for the design and development of integrated models for policy support
The development of Decision Support Systems (DSS) to inform policy making has been increasing rapidly. This paper aims to provide insight into the design and development process of policy support systems that incorporate integrated models. It will provide a methodology for the development of such systems that attempts to synthesize knowledge and experience gained over the past 1520 years from developing a suite of these DSSs for a number of users in different geographical contexts worldwide. The methodology focuses on the overall iterative development process that includes policy makers, scientists and IT-specialists. The paper highlights important tasks in model integration and system development and illustrates these with some practical examples from DSS that have dynamic, spatial and integrative attributes. Crucial integrative features of modelling systems that aim to provide support to policy processes, and to which we refer as integrated Decision Support Systems, are: Synthesis of relevant drivers, processes and characteristics of the real world system at relevant spatial and temporal scales. An integrated approach linking economic, environmental and social domains. Connection to the policy context, interest groups and end-users. Engagement with the policy process. Ability to provide added value to the current decision-making practice. With this paper we aim to provide a methodology for the design and development of these integrated Decision Support Systems that includes the hard elements of model integration and software development as well as the softer elements related to the user-developer interaction and social learning of all groups involved in the process.
policy support decision support system (dss) design and development process model integration social learning iterative process