Policy Refinement refers to the process of deriving concrete implementable policies from higher-level goals or Service Level Agreements. It has been presented often as one of the most desirable research objectives in policy-based management yet one of the most challenging to address. In recent years, several approaches that have made some headway towards addressing this goal have emerged. They include amongst others: goal elaboration and abductive reasoning, model checking, case-based reasoning, and model transformation based on models and ontologies. The aim of this panel is to confront these approaches and in the process a number of questions will undoubtedly arise: are any of these approaches viable? How can refined policies be analysed e.g., for conflicts? How much user intervention is required? When is each approach applicable? Can these approaches be combined? Chair: Jorge Lobo, IBM T.J. Watson, USA. Panelists: Emil Lupu, Imperial College London, Great Britain, Joan Serrat, Universitat Politecnica de Catalunya, Spain, Seraphin Calo, IBM T.J. Watson Research, USA, John Strassner, Motorola Research Labs, USA