Modeling for Policy Formulation: Causal Mapping, Scenario Generation, and Decision Evaluation

Abstract : In this paper we present a work process with associated operational research modeling and analysis tools for the policy formulation stage of the Lindblom policy cycle process model. The approach exploits the use of causal maps for problem structuring and scenario generation of policy options together with decision analysis for evaluating generated scenarios taking preferences of decision makers and stakeholders into account. The benefits of interest when exploiting this integrated modeling approach is to enable for; (i) problem structuring and facilitating understanding and communication of a complex policy problem, (ii) simulation of policy consequences and identification of a smaller set of policy options from a possible very large set of possible options, and (iii) structured decision evaluation of the generated alternative policy options.
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Communication dans un congrès
7th International Conference on Electronic Participation (ePart), Aug 2015, Thessaloniki, Greece. Lecture Notes in Computer Science, LNCS-9249, pp.135-146, 2015, Electronic Participation. 〈10.1007/978-3-319-22500-5_11〉
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Aron Larsson, Osama Ibrahim. Modeling for Policy Formulation: Causal Mapping, Scenario Generation, and Decision Evaluation. 7th International Conference on Electronic Participation (ePart), Aug 2015, Thessaloniki, Greece. Lecture Notes in Computer Science, LNCS-9249, pp.135-146, 2015, Electronic Participation. 〈10.1007/978-3-319-22500-5_11〉. 〈hal-01587633〉

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