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The COVID-19 pandemic illustrated many of the challenges with using science to guide planning and policymaking. One such challenge has to do with how to manage, represent and communicate uncertainties in epidemiological models. This is considerably complicated, we argue, by the fact that the models themselves are often instrumental in structuring the involved uncertainties. In this paper we explore how models 'domesticate' uncertainties and what this implies for science-for-policy. We analyse three examples of uncertainty domestication in models of COVID-19 and argue that we need to pay more attention to how uncertainties are domesticated in models used for policy support, and the many ways in which uncertainties are domesticated within particular models can fail to fit with the needs and demands of policymakers and planners.
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The concept of Mode 2 has often been seen as especially applicable to fields addressing grand challenges, such as climate change. Being a relatively new field-interdisciplinary in its approach, and focused on addressing such issues-sustainability science would appear to be a case in point. The aim of this paper is twofold: 1) to explore the perceived relation between Mode 2 and sustainability science, and 2) to advance the discussion of Mode 2 from a philosophical perspective. To address these questions we focus on three characteristic features of Mode 2: the notion of a distinct, but evolving framework; boundary crossing; and a problem solving capacity "on the move". We report the results of a survey carried out amongst leading sustainability scientists. The survey gives insight into the scientists' perception of Mode 2, their perception of their own field of sustainability science and the relation between the two. The free text answers reveal a tension within the field of sustainability science: with developments both towards Mode 1 and Mode 2 science. We conclude that the implementation of inter- and trans-disciplinarity is challenged by institutional and conceptual factors alike.
Assuntos
Mudança Climática , Conservação dos Recursos Naturais , Conhecimento , CiênciaRESUMO
Resilience is often promoted as a boundary concept to integrate the social and natural dimensions of sustainability. However, it is a troubled dialogue from which social scientists may feel detached. To explain this, we first scrutinize the meanings, attributes, and uses of resilience in ecology and elsewhere to construct a typology of definitions. Second, we analyze core concepts and principles in resilience theory that cause disciplinary tensions between the social and natural sciences (system ontology, system boundary, equilibria and thresholds, feedback mechanisms, self-organization, and function). Third, we provide empirical evidence of the asymmetry in the use of resilience theory in ecology and environmental sciences compared to five relevant social science disciplines. Fourth, we contrast the unification ambition in resilience theory with methodological pluralism. Throughout, we develop the argument that incommensurability and unification constrain the interdisciplinary dialogue, whereas pluralism drawing on core social scientific concepts would better facilitate integrated sustainability research.
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This essay first outlines a philosophical theory of concepts and then applies it to two areas of relevance to psychiatrists, especially forensic psychiatrists. In the philosophical theory, the respective roles of verbal and non-verbal definitions are illuminated, and the importance of the phenomenon of division of semantic labour is stressed. It is pointed out that vagueness and ambiguity of a term often result when the term is used for several practical purposes at the same time. Such multi-purpose uses of terms may explain both the current problems associated with the Swedish forensic-psychiatric concept of a severe mental disorder and some of the shortcomings of DSM-IV.
