Covid-19 transformation: towards a knowledge-sharing platform

Abstract

The paper addresses the COVID-19 Pandemic as a complex and all-pervasive transformative event with far-reaching implications on the resilience of social-ecological systems to other shocks such as those anticipated by climate change and resource depletion. As transformations induced by disruptions affect the capacity to adapt to systemic shocks, the COVID-19 disruption offers a unique opportunity for qualifying and classifying structural changes in social-ecological systems. As the pandemic-induced transformations are further complicated by fast-spreading “infodemics”, the need for scholars and scientists to improve their communications and public outreach is pressing. However, organizing the scientific knowledge on the COVID-19 transformation is a challenging task, especially given the transdisciplinary approaches required. This paper, therefore, proposes a model for a knowledge-sharing platform for classifying and qualifying COVID-19 transformative changes. The paper approaches the organization of knowledge on transformative responses aligning with research on climate change adaptation and disaster risk reduction. It then proposes to identify functional categories of transformation adapting approaches to event structures, developed in theoretical linguistics.

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Copyright © 2020 Ophira Gamliel Any reproduction, publication and reprint in the form of a different publication, whether printed or produced electronically, in whole or in part, is permitted only with the explicit written authorisation of the author.

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http://eprints.gla.ac.uk/226056/