ORCID Profile
0000-0001-8877-5852
Current Organisation
CSIRO
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Publisher: IOP Publishing
Date: 11-2021
Abstract: The 17 Sustainable Development Goals (SDGs) represent a holistic and ambitious agenda for transforming the world towards societal well-being, economic prosperity, and environmental protection. Achieving the SDGs is, however, challenged by the performance of interconnected sectors and the complexity of their interactions which drive non-linear system responses, tipping points, and spillover effects. Systems modelling, as an integrated way of thinking about and modelling multisectoral dynamics, can help explain how feedback interactions within and among different sectors can lead to broader system transformation and progress towards the SDGs. Here, we review how system dynamics, as a prominent systems modelling approach, can inform and contribute to sustainability research and implementation, framed by the SDGs. We systematically analyse 357 system dynamics studies undertaken at the local scale where the most important SDG impacts and their initiators are often located, published between 2015 (i.e. SDGs’ inception) and 2020. We analyse the studies to illuminate strengths and limitations in four key areas: ersity of scope interdisciplinarity of the approaches the role of stakeholder participation and the analysis of SDG interactions. Our review highlights opportunities for a better consideration of societal aspects of sustainable development (e.g. poverty, inequality) in modelling efforts integrating with new interdisciplinary methods to leverage system dynamics modelling capabilities improving genuine stakeholder engagement for credibility and impacts on the ground and a more in-depth analysis of SDG interactions (i.e. synergies and trade-offs) with the feedback-rich structure of system dynamics models.
Publisher: American Geophysical Union (AGU)
Date: 09-2023
DOI: 10.1029/2022EF003326
Publisher: Resilience Alliance, Inc.
Date: 2021
Publisher: Elsevier BV
Date: 09-2020
Publisher: American Geophysical Union (AGU)
Date: 09-2022
DOI: 10.1029/2022EF002873
Abstract: Achieving the Sustainable Development Goals (SDGs) is contingent on managing complex interactions that create synergies and trade‐offs between different goals. It is, therefore, important to improve our understanding of them, their underlying causal drivers, future behaviors, and policy implications. Prominent methods of interaction analysis that focus on modeling or data‐driven statistical correlation are often insufficient for giving an integrated view of interaction drivers and their complexity. These methods are also usually too technically complex and heavily data‐driven to provide decision‐makers with simple practical tools and easily actionable and understandable results. Here, we introduce a flexible and practical systemic approach, termed archetype analysis, that generalizes a number of recurring interaction patterns among the SDGs with unique drivers, behaviors, and policy implications. We review eight interaction archetypes as thinking aids to analyze some of the important synergies and trade‐offs, supported by several empirical ex les related to the SDGs (e.g., poverty, food, well‐being, water, energy, housing, climate, and land use) to demonstrate how they can be operationalized in practice. The interaction archetypes are aimed to help researchers and policymakers as a diagnostic tool to identify fundamental mechanisms of barriers or policy resistance to SDG progress, a comparative tool to enhance knowledge transfer between different cases with similar drivers, and a prospective tool to design synergistic policies for sustainable development.
Publisher: American Geophysical Union (AGU)
Date: 03-2021
DOI: 10.1029/2020EF001843
Abstract: The achievement of global sustainability agendas, such as the Sustainable Development Goals, relies on transformational change across society, economy, and environment that are co‐created in a transdisciplinary exercise by all stakeholders. Within this context, environmental and societal change is increasingly understood and represented via participatory modeling for genuine engagement with multiple collaborators in the modeling process. Despite the ersity of participatory modeling methods to promote engagement and co‐creation, it remains uncertain what the extent and modes of participation are in different contexts, and how to select the suitable methods to use in a given situation. Based on a review of available methods and specification of potential contextual requirements, we propose a unifying framework to guide how collaborators of different backgrounds can work together and evaluate the suitability of participatory modeling methods for co‐creating sustainability pathways. The evaluation of method suitability promises the integration of concepts and approaches necessary to address the complexities of problems at hand while ensuring robust methodologies based on well‐tested evidence and negotiated among participants. Using two illustrative case studies, we demonstrate how to explore and evaluate the choice of methods for participatory modeling in varying contexts. The insights gained can inform creative participatory approaches to pathway development through tailored combinations of methods that best serve the specific sustainability context of particular case studies.
Publisher: Center for Open Science
Date: 16-12-2020
Abstract: To achieve the United Nations Sustainable Development Goals (SDGs), actions are required at all global, national, and local scales. To ensure coordination between scales, local actions need to be carefully planned to be aligned with global and national priorities. Local planning for sustainability must be adaptive and heterogenous but also consistent and driven by the community. We describe an approach to co-create a local sustainability plan using the SDGs for a rural community in south-eastern Australia using participatory techniques for co-creation, data collection, and review. The community placed a high priority on infrastructure for achieving sustainable growth and social equity while preserving their unique environment. By articulating their priorities in this community-led plan, the community is empowered to advocate for the sustainable development of their town with decision-makers and funding bodies. If local communities create sustainability plans using the SDGs, then such planning will be consistent between and across geographic scales, and aligned with the global goals. This will also aid in achievement of the SDGs at national and global scales, as advocated by the United Nations in the 2030 Agenda for Sustainable Development.
Publisher: Springer Science and Business Media LLC
Date: 17-08-2021
Publisher: Springer Science and Business Media LLC
Date: 14-03-2021
Publisher: California Digital Library (CDL)
Date: 22-06-2023
DOI: 10.31223/X5DM3G
Abstract: Sustainability science is a discipline which is strongly concerned with exploring the achievement of sustainable futures. One way in which this is done is through scenarios. The Shared Socioeconomic Pathways (SSPs), developed for climate science, have been widely adopted by modellers to analyse sustainable futures. We question whether the SSPs are fit-for-purpose for examining sustainable transformative futures. We have identified six challenges and propose aligned opportunities synthesised from existing research. These challenges are: the need for a sustainability context in the scenario space better representation of sustainability challenges in the driving forces which form the scenarios narrowed scope of storylines due to coupling the scenarios to modelling constraint of economic futures to growth-only options the scenarios are not goal-seeking, nor do they consider deep uncertainty and the scenarios are insufficiently erse. The inclusion of different driving forces, degrowth scenarios, and a different scenario space, are some of the proposed improvements suggested. Addressing these challenges and rethinking the use of climate-SSPs should be a priority for the sustainability science community, considering how critical scenario-based research is for policy and practice.
Publisher: Center for Open Science
Date: 19-05-2020
Abstract: The Sustainable Development Goals (SDGs) recognise the importance of action across all scales to achieve a sustainable future. To contribute to overall national- and global-scale SDG achievement, local communities need to focus on a locally-relevant subset of goals and understand potential future pathways for key drivers which influence local sustainability. We developed a participatory method to co-create local socioeconomic pathways by downscaling the SDGs and driving forces of the shared socioeconomic pathways (SSPs) via a local case study in southern Australia through contextual analysis and community engagement. We linked the SSPs and SDGs by identifying driving forces and describing how they affect the achievement of local SDGs. We co-created six local socioeconomic pathways with the local community which track towards futures with different levels of fulfilment of the SDGs and each encompasses a narrative storyline incorporating locally-specific ideas from the community. We tested and validated the local pathways with the community. This method extends the SSPs in two dimensions – into the broader field of sustainability via the SDGs, and by recontextualizing them at the local scale. The local socioeconomic pathways can contribute to achieving local sustainability goals from the bottom up in alignment with global initiatives.
Publisher: Authorea, Inc.
Date: 11-07-2023
DOI: 10.22541/AU.168908143.31581770/V1
Abstract: The 2030 Agenda offers a list of global environmental, social, and economic objectives to attain sustainable development. However, achieving the Sustainable Development Goals (SDGs) is challenging given the complex interactions between different SDGs and their spillover effects. System dynamics models have the capacity to integrate multisectoral dynamics of SDG interactions. We developed a system dynamics model-the Local Environmental and Socio-Economic Model (LESEM)-to analyse and quantify context-based SDG interactions at the local scale using a participatory model co-design process with local stakeholders. The LESEM was developed for a case study in the Goulburn-Murray Irrigation District in northern Victoria, Australia. We present an illustrative application of the model that quantifies SDG interactions across four high-priority SDGs, namely clean water and sanitation (SDG 6), agricultural activities (SDG 2), economic growth (SDG 8), and life on land (SDG 15). Our results suggest that agricultural land area may shrink by 62,522 ha due to the decline in water resource availability (SDG 6) under a business-as-usual (BAU) scenario from 2022 to 2050. However, the results also highlight that agri-food production (SDG 2) is likely to increase due to intensification to meet future agri-food demand, and higher values of farm output may improve local prosperity. The projections also suggest that environmental pressures may increase due to increasing agricultural intensification and reduced water availability. The LESEM facilitates integrated and strategic decision-making and helps local policymakers identify and quantify potential trade-offs and synergies that benefit multiple SDGs, which eventually leads local communities toward sustainability.
Publisher: California Digital Library (CDL)
Date: 22-06-2023
DOI: 10.31223/X5K35M
Abstract: The UN Sustainable Development Goals (SDGs) encompass environmental, social, and economic dimensions which are linked to the characteristics of place and have a strong local dimension. They are interconnected at local scales in complex ways which makes progress towards them difficult to predict. To understand how these interconnections play out at the local scale, we used knowledge co-production to undertake systems mapping for the purpose of sustainability assessment framed by the SDGs. We partnered with a local community in Australia as our co-production case study, with a multi-stage engagement process to understand how they interpreted sustainability, and their vision for a sustainable community. We found that co-developing a map of the local system with participants can elicit far more societal interconnections between the SDGs than might be expected without knowledge co-production, as the participants viewed the system through a social lens. Issues from the social dimension of sustainability, in particular, were intensely local in origin and effect which suggests that attempts to represent them at national or global scales are unlikely to succeed. We teased out the interconnections between societal and non-societal issues with local knowledge, which enhanced the ability to identify effective actions to tackle broader sustainability problems. Our results demonstrate that knowledge co-production can improve understanding of what sustainability is at the local scale and how it can be achieved, enabling the transformative change required to achieve the SDGs.
Location: Australia
No related grants have been discovered for Katrina Szetey.