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Toward a pluralistic conception of resilience
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| Title: | Toward a pluralistic conception of resilience |
| Authors: | Convertino, Matteo Browse this author | | Valverde, L. James, Jr. Browse this author |
| Keywords: | Resilience | | Decisions | | Intentionality | | Foundations | | Systemic risk | | Networks | | Uncertainty |
| Issue Date: | Dec-2019 |
| Publisher: | Elsevier |
| Journal Title: | Ecological Indicators |
| Volume: | 107 |
| Start Page: | 105510 |
| Publisher DOI: | 10.1016/j.ecolind.2019.105510 |
| Abstract: | The concept of resilience occupies an increasingly prominent position within contemporary efforts to confront many of modernity's most pressing challenges, including global environmental change, famine, infrastructure, poverty, and terrorism, to name but a few. Received views of resilience span a broad conceptual and theoretical terrain, with a diverse range of application domains and settings. In this paper, we identify several foundational tenets-dealing primarily with intent/intentionality and uncertainty-that are seen to underlie a number of recent accounts of resilience, and we explore the implications of these tenets for ongoing attempts to articulate the rudiments of an overarching resilience paradigm. Firstly, we explore the complemental nature of risk and resilience, looking, initially, at the role that linearity assumptions play in numerous resilience frameworks found in the literature. We then explore the limitations of these assumptions for efforts directed at modeling risk and resilience in complex domains. These discussions are then used to motivate a pluralistic conception of resilience, drawing inspiration and content from a broad range of sources and empirical domains, including information, network, and decision theories. Secondly, we sketch the rudiments of a framework for engineered resilience, the primary focus of which is the exploration of the fundamental challenges that system design and system performance pose for resilience managers. The conception of engineered resilience set forth here also considers how challenges concerning time and predictability should factor explicitly into the formal schemes that are used to represent and model resilience. Finally, we conclude with a summary of our findings, and we provide a brief sketch of possible future research directions. |
| Rights: | © 2019, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/83729 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: Matteo Convertino
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