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Related Experiment Video

Updated: Jan 27, 2026

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
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Toward Convergence Disaster Research: Building Integrative Theories Using Simulation.

Ali Mostafavi1, N Emel Ganapati2

  • 1Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|March 19, 2019
PubMed
Summary

Simulation methods offer powerful tools for developing theories in convergence disaster research. These methods can integrate diverse data, specify mechanisms, enable multilevel analysis, and foster interdisciplinary understanding for enhanced disaster resilience.

Keywords:
Convergence researchdisasterssimulationtransdisciplinary theory development

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Area of Science:

  • Disaster Science
  • Computational Social Science
  • Complex Systems

Background:

  • Scholars utilize simulation methods for theory building across disciplines.
  • The application of simulation methods in convergence disaster research remains underexplored.
  • Convergence disaster research requires integrated theoretical frameworks.

Purpose of the Study:

  • To highlight the potential of simulation methods for advancing theory in convergence disaster research.
  • To outline unique opportunities simulation methods offer for disaster theory development.
  • To advocate for the broader adoption of simulation methods in this field.

Main Methods:

  • Conceptual analysis of simulation method applications in theory building.
  • Identification of four key opportunities for simulation in convergence disaster research.
  • Review of interdisciplinary theoretical elements relevant to disaster phenomena.

Main Results:

  • Simulation methods can model disaster mechanisms by integrating qualitative and quantitative data.
  • They facilitate specifying and characterizing disaster-influencing mechanisms through empirical and theoretical integration.
  • Simulation enables multilevel understanding of disaster factors and emergent behaviors.
  • These methods support integrating cross-disciplinary theories for a convergent understanding of resilience.

Conclusions:

  • Simulation methods provide a robust framework for developing comprehensive theories in convergence disaster research.
  • Their capacity for data integration, mechanism specification, multilevel analysis, and interdisciplinary synthesis is crucial.
  • Adopting simulation methods can significantly enhance our understanding of disaster resilience.