The ENCOMPASS framework: a practical guide for the evaluation of public health programmes in complex adaptive systems. [PDF]
Int J Behav Nutr Phys Act, 2022 Background Systems thinking embraces the complexity of public health problems, including childhood overweight and obesity. It aids in understanding how factors are interrelated, and it can be targeted to produce favourable changes in a system. There is a
Luna Pinzon A +9 more
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The Action Scales Model: A conceptual tool to identify key points for action within complex adaptive systems. [PDF]
Perspect Public Health, 2022 Background: Systems thinking is integral to working effectively within complex systems, such as those which drive the current population levels of overweight and obesity.
Nobles JD +3 more
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An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspective [PDF]
International Journal of Computer-Supported Collaborative Learning, 2022 Collaborative problem solving (CPS) enables student groups to complete learning tasks, construct knowledge, and solve problems. Previous research has argued the importance of examining the complexity of CPS, including its multimodality, dynamics, and ...
Ouyang Fan, Weiqi Xu, M. Cukurova
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Sensemaking and learning during the Covid-19 pandemic: A complex adaptive systems perspective on policy decision-making. [PDF]
World Dev, 2020 Governments worldwide are under enormous pressure to effectively and promptly address the increasingly complex crisis presented by the Covid-19 pandemic.
Angeli F, Montefusco A.
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Examining innovation in hospital units: a complex adaptive systems approach. [PDF]
BMC Health Serv Res, 2020 Background We are in an innovation age for healthcare delivery. Some note that the complexity of healthcare delivery may make innovation in this setting more difficult and may require more adaptive solutions.
Glover WJ, Nissinboim N, Naveh E.
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Multisector Dynamics: Advancing the Science of Complex Adaptive Human‐Earth Systems
Earth's Future, 2022 The field of MultiSector Dynamics (MSD) explores the dynamics and co‐evolutionary pathways of human and Earth systems with a focus on critical goods, services, and amenities delivered to people through interdependent sectors.
P. Reed +15 more
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Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
IEEE Access, 2021 Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems and epidemiology. Representing complex networks as structures changing over time allow network models to leverage not only structural but also ...
Joakim Skarding +2 more
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A Network Science Perspective of Graph Convolutional Networks: A Survey
IEEE Access, 2023 The mining and exploitation of graph structural information have been the focal points in the study of complex networks. Traditional structural measures in Network Science focus on the analysis and modelling of complex networks from the perspective of ...
Mingshan Jia +2 more
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BMJ Innovations, 2021 Innovation is essential to transform healthcare delivery systems, but in complex adaptive systems innovation is more than ‘light bulb events’ of inspired creativity.
R. Holden, M. Boustani, Jose M. Azar
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hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms
SoftwareX, 2023 Hyperbox-based machine learning algorithms are an important and popular branch of machine learning in the construction of classifiers using fuzzy sets and logic theory and neural network architectures.
Thanh Tung Khuat, Bogdan Gabrys
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