G3. Assessing the contribution to knowledge by case study research using post normal science methods

Natural systems are often complex and dynamic, unpredictable and not necessarily controllable. When dealing with environmental issues, facts are often uncertain, values are in dispute, stakes are high and decisions can be required urgently. Furthermore, many environmental problems are local and due to the contextual nature of issues, generalisations are difficult or inappropriate. In such messy situations, traditional scientific approaches, usually applied within case studies, struggle with definite model formulations, statement of assumptions and with ensuring the quality of data sources. In this space, post-normal science approaches can supplant conventional methods of inquiry by involving the extended peer community in open dialogue, which can legitimise the plurality of perspectives and ways of knowing. Methodologies incorporating quantitative and qualitative can be used to effectively and constructively influence and inform stakeholders a nd decisions directly or indirectly via modelling activities. However, in these circumstances, publishing the results of such activities may be difficult as it is 1) case study based, 2) lacking traditional scientific proof, and 3) acknowledging uncertainty in assumptions and representations. We invite case study based papers that describe methods involving a modelling approach with stakeholders for improved decision making; and which includes a discussion of the scientific value and wider knowledge contribution of these studies.