Implementation of Systems Thinking in Public Policy: A Systematic Review

Systems, Journal Year: 2023, Volume and Issue: 11(2), P. 64 - 64

Published: Jan. 26, 2023

The value of systems thinking in public policy is increasingly recognised. However, the extent its use decision- and policy-making within government civil service remains unclear. This review aims to investigate state application policy. We conducted a systematic search identify papers published up June 2022 from various scientific databases. also searched grey literature. Publications eligible for inclusion were those that used or discussed concepts tools relating policy-making. included 73 falling into five categories: case studies, commentary pieces, user perspectives, reviews, methodological frameworks. Our analysis highlighted benefits values observed reflected by researchers perceived users It revealed several challenges implementation mapped out recommendations address each these challenges. Decision-makers are yet utilise full benefit thinking. Advancing sustaining practice requires (i) exploring how shift decision-makers’ mental models modify organisational cultures under which decisions made (ii) developing practical guidance evaluation specific

Language: Английский

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Peatland dynamics: A review of process-based models and approaches

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 877, P. 162890 - 162890

Published: March 17, 2023

Despite peatlands' important feedbacks on the climate and global biogeochemical cycles, predicting their dynamics involves many uncertainties an overwhelming variety of available models. This paper reviews most widely used process-based models for simulating dynamics, i.e., exchanges energy mass (water, carbon, nitrogen). 'Peatlands' here refers to mires, fens, bogs, peat swamps both intact degraded. Using a systematic search (involving 4900 articles), 45 were selected that appeared at least twice in literature. The classified into four categories: terrestrial ecosystem (biogeochemical dynamic vegetation models, n = 21), hydrological (n 14), land surface 7), eco-hydrological 3), 18 which featured "peatland-specific" modules. By analysing corresponding publications 231), we identified proven applicability domains (hydrology carbon cycles dominated) different peatland types zones (northern bogs fens dominated). studies range scale from small plots global, single events millennia. Following FOSS (Free Open-Source Software) FAIR (Findable, Accessible, Interoperable, Reusable) assessment, number was reduced 12. Then, conducted technical review approaches associated challenges, as well basic aspects each model, e.g., spatiotemporal resolution, input/output data format modularity. Our streamlines process model selection highlights: (i) standardization coordination are required exchange calibration/validation facilitate intercomparison studies; (ii) there overlaps models' scopes approaches, making it imperative fully optimize strengths existing rather than creating redundant ones. In this regard, provide futuristic outlook 'peatland community modelling platform' suggest international project.

Language: Английский

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Participatory modeling for collaborative landscape and environmental planning: From potential to realization

Landscape and Urban Planning, Journal Year: 2024, Volume and Issue: 247, P. 105063 - 105063

Published: March 26, 2024

Participatory modeling is a collaborative approach to formalize shared representations of problem and, through the joint process, design, and test solutions. This particularly well-suited address complex socio-environmental problems like climate change its implications on equitable sustainable resource management landscape planning. Despite potential inform environmental planning policy, participatory has yet become mainstream practice in our field. The reasons are several. First, it hard standardize approach, as must be heavily tailored characteristics context each problem, including stakeholders engaged process. It also onerous, requiring long-term commitment broad range skills that can only attained extensive training collaboration. These other barriers currently being addressed with resurgence knowledge co-production ethical participation scholarship, practice, funding agendas. While most scholarship focused tools engagement techniques, multiple dimensions recognized articulated for impactful support. Grounding this perspective more fully integrated picture modeling, I identify some these gaps suggest an interdisciplinary research agenda further evolve scale up policy. highlights aspects interface design model biases, value elicitation inclusion, diversity innovation facilitation, novel computer-assisted assessment methodologies.

Language: Английский

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Geographic modeling and simulation systems for geographic research in the new era: Some thoughts on their development and construction

Science China Earth Sciences, Journal Year: 2021, Volume and Issue: 64(8), P. 1207 - 1223

Published: June 29, 2021

Abstract Regionality, comprehensiveness, and complexity are regarded as the basic characteristics of geography. The exploration their core connotations is an essential way to achieve breakthroughs in geography new era. This paper focuses on important method geographic research: Geographic modeling simulation. First, we clarify research requirements said three its potential address geo-problems Then, supporting capabilities existing simulation systems for summarized from perspectives: Model resources, processes, operational architecture. Finally, discern avenues future study regional, comprehensive complex Based these analyses, propose implementation architecture discuss module composition functional realization, which could provide theoretical technical support better serve development

Language: Английский

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Unpacking the modelling process via sensitivity auditing

Futures, Journal Year: 2022, Volume and Issue: 144, P. 103041 - 103041

Published: Sept. 29, 2022

Acknowledging the conditionality of model-based evidence facilitates dialogue between model developers and users, especially when models are used to guide decisions at science-policy interface. In general, users have limited access verify realism a model, being only exposed plausibility trustworthiness; instead, modellers an array validation verification techniques available. end, credibility is what both aim for, also in interest shielding from possible pitfall over-interpreting results. To this contribution we discuss sensitivity auditing, extension analysis, that can help overcome communication barriers foster around modelling activities. The use auditing not restricted sense, but it be applied any policy-relevant instance quantification, including metrics, rankings indicators. We present six real-world applications instances quantification range socio-environmental systems, public health, education, water-food nexus. These examples reveal usefulness facilitating proper numbers science-policy-society interface avoiding uncertainty laundering.

Language: Английский

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Producing valuable information from hydrologic models of nature‐based solutions for water

Integrated Environmental Assessment and Management, Journal Year: 2021, Volume and Issue: 18(1), P. 135 - 147

Published: Aug. 19, 2021

Nature-based solutions (NBS) are an increasingly popular approach to water resources management, with a growing number of projects designed take advantage landscape effects on flow. As NBS for developed, producing hydrologic information inform decisions often requires substantial investment in data acquisition and modeling; this effort be worthwhile, the generated must useful used. We apply evaluation framework salience (type information), credibility (quality legitimacy (trustworthiness information) assess how modeling outputs have been used by three types decision makers: advocates, implementers, analysts. Our findings, based documents interviews watershed management programs South America currently implementing NBS, consider supports two projects: quantifying impact potential existing prioritizing where might sited within watershed. To help future studies, we identify several problematic assumptions that analysts may make about modeled when advocates implementers not effectively engaged. find salient, credible, legitimate results applications evaluating always absence clear communication engagement. Integr Environ Assess Manag 2022;18:135-147. © 2021 The Authors. Integrated Environmental Assessment Management published Wiley Periodicals LLC behalf Society Toxicology & Chemistry (SETAC).

Language: Английский

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Presenting a comprehensive multi-scale evaluation framework for participatory modelling programs: A scoping review

PLoS ONE, Journal Year: 2022, Volume and Issue: 17(4), P. e0266125 - e0266125

Published: April 22, 2022

Introduction Systems modelling and simulation can improve understanding of complex systems to support decision making, better managing system challenges. Advances in technology have facilitated accessibility by diverse stakeholders, allowing them engage with contribute the development models (participatory modelling). However, despite its increasing applications across a range disciplines, there is growing need evaluation efforts effectively report on quality, importance, value participatory modelling. This paper aims identify assess frameworks, criteria, and/or processes, as well synthesize findings into comprehensive multi-scale framework for programs. Materials methods A scoping review approach was utilized, which involved systematic literature search via Scopus consultation experts appraise records that described an framework, process context registered Open Science Framework. Results The identified 11 studies, varied purposes, terminologies, levels examination, time points. studies highlighted areas overlap opportunities further development, prompted programs disciplines methods. consists four categories ( Feasibility , Value Change/Action Sustainability ) 30 broken down project-, individual-, group- system-level impacts. Discussion & conclusion presented novel brings together significant knowledge base flexible, cross-sectoral effort considers whole process. Developed through rigorous synthesis multidisciplinary expertise from existing application provide opportunity understand practical future implications such aspects are particularly important policy decisions, community learning, ongoing improvement

Language: Английский

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Recognizing political influences in participatory social-ecological systems modeling

Socio-Environmental Systems Modeling, Journal Year: 2023, Volume and Issue: 5, P. 18509 - 18509

Published: May 18, 2023

Stakeholder participation in social-ecological systems (SES) modeling is increasingly considered a desirable way to elicit diverse sources of knowledge about SES behavior and promote inclusive decision-making SES. Understanding how participatory processes function the context long-term adaptive management may allow for better design achieve intended outcomes inclusionary knowledge, representativeness, social learning, while avoiding unintended outcomes. Long-term contexts often include political influences -- attempts shift or preserve power structures authority, efforts represent economic interests stakeholders computer models that are used shape policy making implementation. In this research, we examine period included major transition watershed model Chesapeake Bay United States. The has been development since 1980s, by many be an exemplary case modeling. We use documentary analysis interviews with participants involved application reveal variety ways which subject different kinds influences, some resulted outcomes, including: perceptions difficulty updating substantive ways, “gaming” model/participatory process stakeholders, increasing resistance against considering uncertainty system not captured model. This research suggests negative associated both stakeholder learning even though they so touted as benefits end hypothesis further theory governance bridge impact broader theories environmental at science-policy interface result improved

Language: Английский

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Putting predictions in public: professional perspectives on the risks and benefits of changing wildfire warning systems

Environmental Hazards, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Feb. 24, 2025

Recent experiences of intense wildfire events in fire-prone landscapes have sparked interest and investment the use simulation models other predictive tools to inform development effective warning systems. As projections increasingly frequent wildfires eventuate, there is growing inclusion more intelligence public warnings mitigate disastrous losses during prior fire events. Predictive spread maps (FSMs) show predicted extent a given occasionally been shown as form hazard information Australia. Existing literature inquiry recommendations highlighted need for evidence-based research support translation such novel technologies into practice. Our research, which involved interviews with 44 sector experts, explores emergency management professionals' current uses FSMs, their views on potential release future. This article investigates cultural institutional constraints underlying implementation uptake by its users. Although specific Australian context, findings this case study offer valuable insights others considering integration

Language: Английский

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31. Hydrological modelling

Open Book Publishers, Journal Year: 2025, Volume and Issue: unknown, P. 493 - 502

Published: Feb. 25, 2025

Numerical hydrological models can be useful tools to explore elements of the cycle. While there is a wide range model types available, they are all inherently subject uncertainty.

Language: Английский

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