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What is (quantitative) system dynamics modeling? Defining characteristics and the opportunities they create

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  • Asmeret Naugle
  • Saeed Langarudi
  • Timothy Clancy

Abstract

A clear definition of system dynamics modeling can provide shared understanding and clarify the impact of the field. We introduce a set of characteristics that define quantitative system dynamics, selected to capture core philosophy, describe theoretical and practical principles, and apply to historical work but be flexible enough to remain relevant as the field progresses. The defining characteristics are: (1) models are based on causal feedback structure, (2) accumulations and delays are foundational, (3) models are equation‐based, (4) concept of time is continuous, and (5) analysis focuses on feedback dynamics. We discuss the implications of these principles and use them to identify research opportunities in which the system dynamics field can advance. These research opportunities include causality, disaggregation, data science and AI, and contributing to scientific advancement. Progress in these areas has the potential to improve both the science and practice of system dynamics. © 2024 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Suggested Citation

  • Asmeret Naugle & Saeed Langarudi & Timothy Clancy, 2024. "What is (quantitative) system dynamics modeling? Defining characteristics and the opportunities they create," System Dynamics Review, System Dynamics Society, vol. 40(2), April.
    • Handle: RePEc:bla:sysdyn:v:40:y:2024:i:2:n:e1762
    DOI: 10.1002/sdr.1762
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    References listed on IDEAS

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    4. Hakan Yasarcan, 2023. "The four main elements of dynamic complexity," System Dynamics Review, System Dynamics Society, vol. 39(2), pages 171-179, April.
    5. Erik Pruyt & Tushith Islam, 2015. "On generating and exploring the behavior space of complex models," System Dynamics Review, System Dynamics Society, vol. 31(4), pages 220-249, October.
    6. John Sterman, 2018. "System dynamics at sixty: the path forward," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 5-47, January.
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    2. Amorocho-Daza, Henry & Sušnik, Janez & van der Zaag, Pieter & Slinger, Jill H., 2025. "A model-based policy analysis framework for social-ecological systems: Integrating uncertainty and participation in system dynamics modelling," Ecological Modelling, Elsevier, vol. 499(C).

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