An Introduction to Complex Systems Science and Its Applications

Siegenfeld, Alexander F.; Bar‐Yam, Yaneer

doi:10.1155/2020/6105872

Cited by 165 publications

(112 citation statements)

References 87 publications

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“…The decrease of industry energy consumption in both Austria and Bulgaria OLT scenarios is due to a mix of increased technical efficiency and scenario assumptions. Indeed, the characteristics of the OLT scenario, which is focused on Greenhouse Gases (GHG) emissions reduction (carbon budget limitations), leads to reduced realizable economic growth, much lower economic demand, lower energy consumption in all sectors, including industry (details on scenarios assumptions are available at Project Medeas website [32]).…”

Section: Resultsmentioning

confidence: 99%

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Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP)

et al. 2021

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In the present study, we compare energy transition scenarios from a new set of integrated assessment models, the suite of MEDEAS models, based on a systems dynamic modeling approach, with scenarios from two already well know structurally and conceptually different integrated assessment models, the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning system (LEAP). The investigation was carried out to cross-compare and benchmark the response of MEDEAS models with TIMES and LEAP in depicting the energy transition in two different countries, Austria and Bulgaria. The preliminary results show a good agreement across all the models in representing scenarios projecting historical trends, while a major discrepancy is detectable when the rate of implementation of renewable energy is forced to increase to achieve energy system decarbonization. The discrepancy is mainly traceable to the differences in the models’ conception and structures rather than in a real mismatch in representing the same scenarios. The present study is put forward as a guideline for validating new modeling approaches that link energy policy decision tools to the global biophysical and socioeconomic constraints.

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Section: Resultsmentioning

confidence: 99%

“…Today, several IAMs coexist to deal with the complex interactions, high uncertainties, and knowledge gaps between interconnections within the environment and human societies [32][33][34]. For these reasons, it is usually quite challenging to compare IAMs, with very different characteristics [5].…”

Section: Discussionmentioning

confidence: 99%

Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP)

et al. 2021

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“…The behaviour embedded in highly composite systems or models of systems with large numbers of interacting components 26 ; the complexity of a behaviour is equal to the length of its description. 77 Adaptation The capacity to adjust to internal and external circumstances; usually thought of in terms of modifying behaviours over time. 26 Systems A group of interacting elements that form a unified functional whole.…”

Section: Complexitymentioning

confidence: 99%

Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments

et al. 2020

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IntroductionValue-based healthcare delivery models have emerged to address the unprecedented pressure on long-term health system performance and sustainability and to respond to the changing needs and expectations of patients. Implementing and scaling the benefits from these care delivery models to achieve large-system transformation are challenging and require consideration of complexity and context. Realist studies enable researchers to explore factors beyond ‘what works’ towards more nuanced understanding of ‘what tends to work for whom under which circumstances’. This research proposes a realist study of the implementation approach for seven large-system, value-based healthcare initiatives in New South Wales, Australia, to elucidate how different implementation strategies and processes stimulate the uptake, adoption, fidelity and adherence of initiatives to achieve sustainable impacts across a variety of contexts.Methods and analysisThis exploratory, sequential, mixed methods realist study followed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) reporting standards for realist studies. Stage 1 will formulate initial programme theories from review of existing literature, analysis of programme documents and qualitative interviews with programme designers, implementation support staff and evaluators. Stage 2 envisages testing and refining these hypothesised programme theories through qualitative interviews with local hospital network staff running initiatives, and analyses of quantitative data from the programme evaluation, hospital administrative systems and an implementation outcome survey. Stage 3 proposes to produce generalisable middle-range theories by synthesising data from context–mechanism–outcome configurations across initiatives. Qualitative data will be analysed retroductively and quantitative data will be analysed to identify relationships between the implementation strategies and processes, and implementation and programme outcomes. Mixed methods triangulation will be performed.Ethics and disseminationEthical approval has been granted by Macquarie University (Project ID 23816) and Hunter New England (Project ID 2020/ETH02186) Human Research Ethics Committees. The findings will be published in peer-reviewed journals. Results will be fed back to partner organisations and roundtable discussions with other health jurisdictions will be held, to share learnings.

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“…In this Section we introduce only a few sources to understand our approach to the problem. Theory and applications of complex systems are, e.g., in [19,6,12]. For comparison of various interpretation of concepts of emergence and emergent behavior we introduce [10,11,2,4].…”

Section: Related Workmentioning

confidence: 99%

Phase Transition as an Emergent Phenomenon Analysed by Violation of Structural Invariant (M, BM)

Bíla

Chyský

2020

mendel

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When modeling complex systems, we usually encounter the following difficulties: partiality, large amounts of data and uncertainty of conclusions. The most common approach used for modeling is the physical approach, sometimes reinforced by statistical procedures. If we assume emergences in the complex system, a physical approach is not appropriate at all. Instead, we build here the approach of structural invariants. In this paper, we show that another plane can be built above the plane of physical description, which is responsible for violation of structural invariants. Main attention is concentrated (in this article) on the invariant matroid and bases of matroid (M, BM) in combination with Ramsey graph theory. In addition, the article introduces a calculus that describes the emergent phenomena using two quantities - the power of the emergent phenomenon and the complexity of the structure of the considered complex system. We show the application of the method for modeling phase transition in chemistry.

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An Introduction to Complex Systems Science and Its Applications

Cited by 165 publications

References 87 publications

Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP)

Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP)

Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments

Phase Transition as an Emergent Phenomenon Analysed by Violation of Structural Invariant (M, BM)

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