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Related Concept Videos

Sustainable Development01:43

Sustainable Development

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As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
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Modeling and Similitude01:12

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Mechanistic Models: Overview of Compartment Models01:21

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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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One-Degree-of-Freedom System01:24

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
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Progress in modeling dynamic systems for sustainable development.

Noelle E Selin1,2, Amanda Giang3,4, William C Clark5

  • 1Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139.

Proceedings of the National Academy of Sciences of the United States of America
|September 26, 2023
PubMed
Summary
This summary is machine-generated.

Recent progress in dynamical modeling enhances understanding of nature-society systems for sustainable development. Advances address challenges in applying models to real-world problems, improving decision-making for human well-being.

Keywords:
modeling for sustainabilityplace-based approachsector-based approachtheory-building approachtheory-testing approach

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Area of Science:

  • Sustainability Science
  • Complex Systems Modeling
  • Nature-Society Interactions

Background:

  • Sustainable development faces challenges in integrating complex nature-society systems.
  • Traditional modeling approaches often struggle to address real-world sustainability problems.
  • Recent advancements in dynamical modeling offer new avenues for understanding these systems.

Purpose of the Study:

  • To evaluate recent progress in modeling nature-society systems for sustainable development.
  • To highlight dynamical modeling methods and their applications in addressing sustainability challenges.
  • To discuss how these methods advance theory and inform action in sustainability science.

Main Methods:

  • Review of dynamical modeling methods applied to nature-society systems.
  • Analysis of advances in four key stages of modeling practice: purpose definition, component selection, interaction analysis, and intervention assessment.
  • Examples of sector- and place-specific applications demonstrating improved understanding and action.

Main Results:

  • Dynamical modeling advances have begun to address longstanding challenges in sustainable development.
  • Methods have improved understanding and informed action across defining purpose, selecting components, analyzing interactions, and assessing interventions.
  • Applications in specific sectors and locations highlight potential for broader impact on human well-being and sustainability timescales.

Conclusions:

  • Emerging modeling methods are crucial for advancing nature-society systems theory and practice.
  • Further leveraging these methods can enhance the uptake of frameworks, clarify concepts, and aid hypothesis development.
  • Continued development and application of dynamical models are essential for effective sustainable development strategies.