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Embodied uncertainty: living with complexity and natural hazards
Authors:Victoria Sword-Daniels  Emma E Hudson-Doyle  Ryan Alaniz  Carolina Adler  Todd Schenk
Institution:1. Centre for Urban Sustainability and Resilience &2. EPICentre, Civil, Environmental and Geomatic Engineering Department, University College London, London, UK;3. Joint Centre for Disaster Research, School of Psychology, Massey University, Wellington, New Zealand;4. Department of Social Sciences, California Polytechnic State University, San Luis Obispo, CA, USA;5. Institute for Environmental Decisions, ETH Zürich, Switzerland;6. DUSYS Transdisciplinarity Lab, ETH Zürich, Switzerland;7. Urban Affairs and Planning, Virginia Tech, Blacksburg, VA, USA
Abstract:In this paper, we examine the concept of embodied uncertainty by exploring multiple dimensions of uncertainty in the context of risks associated with extreme natural hazards. We highlight a need for greater recognition, particularly by disaster management and response agencies, of uncertainty as a subjective experience for those living at risk. Embodied uncertainty is distinguished from objective uncertainty by the nature of its internalisation at the individual level, where it is subjective, felt and directly experienced. This approach provides a conceptual pathway that sharpens knowledge of the processes that shape how individuals and communities interpret and contextualise risk. The ways in which individual characteristics, social identities and lived experiences shape interpretations of risk are explored by considering embodied uncertainty in four contexts: social identities and trauma, the co-production of knowledge, institutional structures and policy and long-term lived experiences. We conclude by outlining the opportunities that this approach presents, and provide recommendations for further research on how the concept of embodied uncertainty can aid decision-making and the management of risks in the context of extreme natural hazards.
Keywords:disaster  embodied uncertainty  emergency management  knowledge co-production  risk interpretation
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