Systems approaches for localising the SDGs: co-production of place-based case studies

Abstract Background Localisation is a pervasive challenge in achieving sustainable development. Contextual particularities may render generalized strategies to achieve the Sustainable Development Goals (SDGs) unfeasible, impractical, or ineffective. Furthermore, many localities are resource- and dat...

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Main Authors: David T. Tan, José Gabriel Siri, Yi Gong, Benjamin Ong, Shiang Cheng Lim, Brian H. MacGillivray, Terry Marsden
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Globalization and Health
Subjects:
Online Access:https://doi.org/10.1186/s12992-019-0527-1
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spelling doaj-15bae80ac2e540609a4a4b710fdb66dd2020-12-20T12:38:08ZengBMCGlobalization and Health1744-86032019-12-0115111010.1186/s12992-019-0527-1Systems approaches for localising the SDGs: co-production of place-based case studiesDavid T. Tan0José Gabriel Siri1Yi Gong2Benjamin Ong3Shiang Cheng Lim4Brian H. MacGillivray5Terry Marsden6International Institute for Global Health, United Nations UniversityInternational Institute for Global Health, United Nations UniversitySustainable Places Research Institute, Cardiff UniversityUrban Biodiversity InitiativeInternational Institute for Global Health, United Nations UniversitySustainable Places Research Institute, Cardiff UniversitySustainable Places Research Institute, Cardiff UniversityAbstract Background Localisation is a pervasive challenge in achieving sustainable development. Contextual particularities may render generalized strategies to achieve the Sustainable Development Goals (SDGs) unfeasible, impractical, or ineffective. Furthermore, many localities are resource- and data-poor, limiting applicability of the global SDG indicator framework. Tools to enable local actors to make sense of complex problems, communicate this understanding, and act accordingly hold promise in their ability to improve results. Aim Systems approaches can help characterise local causal systems, identify useful leverage points, and foster participation needed to localise and catalyse development action. Critically, such efforts must be deeply rooted in place, involving local actors in mapping decision-processes and causation within local physical, social and policy environments. Given that each place has a unique geographical or spatial extent and therein lies its unique characters and problems, we term these activities “placially explicit.” We describe and reflect on a process used to develop placially explicit, systems-based (PESB) case studies on issues that intersect with and impact urban health and wellbeing, addressing the perspectives of various actors to produce place-based models and insights that are useful for SDG localisation. Methods Seven case studies were co-produced by one or more Partners with place-based knowledge of the case study issue and a Systems Thinker. In each case, joint delineation of an appropriate framing was followed by iterative dialogue cycles to uncover key contextual factors, with attention to institutional and societal structures and paradigms and the motivations and constraints of other actors. Casual loop diagrams (CLDs) were iteratively developed to capture complex narratives in a simple visual way. Results Case study development facilitated transfer of local knowledge and development of systems thinking capacity. Partners reported new insights, including a shifting of problem frames and corresponding solution spaces to higher systems levels. Such changes led partners to re-evaluate their roles and goals, and thence to new actions and strategies. CLD-based narratives also proved useful in ongoing communications. Conclusion Co-production of PESB case studies are a useful component of transdisciplinary toolsets for local SDG implementation, building the capacity of local actors to explore complex problems, identify new solutions and indicators, and understand the systemic linkages inherent in SDG actions across sectors and scales.https://doi.org/10.1186/s12992-019-0527-1Systems approachesSystems thinkingPlace-based approachesPlacially explicitLocalisationCo-production
collection DOAJ
language English
format Article
sources DOAJ
author David T. Tan
José Gabriel Siri
Yi Gong
Benjamin Ong
Shiang Cheng Lim
Brian H. MacGillivray
Terry Marsden
spellingShingle David T. Tan
José Gabriel Siri
Yi Gong
Benjamin Ong
Shiang Cheng Lim
Brian H. MacGillivray
Terry Marsden
Systems approaches for localising the SDGs: co-production of place-based case studies
Globalization and Health
Systems approaches
Systems thinking
Place-based approaches
Placially explicit
Localisation
Co-production
author_facet David T. Tan
José Gabriel Siri
Yi Gong
Benjamin Ong
Shiang Cheng Lim
Brian H. MacGillivray
Terry Marsden
author_sort David T. Tan
title Systems approaches for localising the SDGs: co-production of place-based case studies
title_short Systems approaches for localising the SDGs: co-production of place-based case studies
title_full Systems approaches for localising the SDGs: co-production of place-based case studies
title_fullStr Systems approaches for localising the SDGs: co-production of place-based case studies
title_full_unstemmed Systems approaches for localising the SDGs: co-production of place-based case studies
title_sort systems approaches for localising the sdgs: co-production of place-based case studies
publisher BMC
series Globalization and Health
issn 1744-8603
publishDate 2019-12-01
description Abstract Background Localisation is a pervasive challenge in achieving sustainable development. Contextual particularities may render generalized strategies to achieve the Sustainable Development Goals (SDGs) unfeasible, impractical, or ineffective. Furthermore, many localities are resource- and data-poor, limiting applicability of the global SDG indicator framework. Tools to enable local actors to make sense of complex problems, communicate this understanding, and act accordingly hold promise in their ability to improve results. Aim Systems approaches can help characterise local causal systems, identify useful leverage points, and foster participation needed to localise and catalyse development action. Critically, such efforts must be deeply rooted in place, involving local actors in mapping decision-processes and causation within local physical, social and policy environments. Given that each place has a unique geographical or spatial extent and therein lies its unique characters and problems, we term these activities “placially explicit.” We describe and reflect on a process used to develop placially explicit, systems-based (PESB) case studies on issues that intersect with and impact urban health and wellbeing, addressing the perspectives of various actors to produce place-based models and insights that are useful for SDG localisation. Methods Seven case studies were co-produced by one or more Partners with place-based knowledge of the case study issue and a Systems Thinker. In each case, joint delineation of an appropriate framing was followed by iterative dialogue cycles to uncover key contextual factors, with attention to institutional and societal structures and paradigms and the motivations and constraints of other actors. Casual loop diagrams (CLDs) were iteratively developed to capture complex narratives in a simple visual way. Results Case study development facilitated transfer of local knowledge and development of systems thinking capacity. Partners reported new insights, including a shifting of problem frames and corresponding solution spaces to higher systems levels. Such changes led partners to re-evaluate their roles and goals, and thence to new actions and strategies. CLD-based narratives also proved useful in ongoing communications. Conclusion Co-production of PESB case studies are a useful component of transdisciplinary toolsets for local SDG implementation, building the capacity of local actors to explore complex problems, identify new solutions and indicators, and understand the systemic linkages inherent in SDG actions across sectors and scales.
topic Systems approaches
Systems thinking
Place-based approaches
Placially explicit
Localisation
Co-production
url https://doi.org/10.1186/s12992-019-0527-1
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