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Issues in Reproducible Simulation Research.

B G Fitzpatrick1

  • 1Tempest Technologies and Department of Mathematics, Loyola Marymount University, Los Angeles, CA, USA. bfitzpatrick@lmu.edu.

Bulletin of Mathematical Biology
|September 8, 2018
PubMed
Summary
This summary is machine-generated.

Reproducibility issues plague scientific research, particularly in agent-based simulations. This perspective discusses challenges and proposes solutions to enhance simulation research practices for greater reliability.

Keywords:
Agent-based modelsComputational lab notebookSimulation reproducibilityTest-driven developmentValidationVersion control

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Area of Science:

  • Life and social sciences simulation research.

Background:

  • Reproducibility is a significant concern across scientific disciplines, with substantial financial implications.
  • Irreproducible preclinical studies cost billions annually in the USA and worldwide.
  • Replication rates in social sciences, like psychology, are below 50%.

Purpose of the Study:

  • To discuss reproducibility challenges in agent-based simulations.
  • To draw on best practices from computer science and experimental wet-lab research.
  • To suggest improvements for simulation research practices.

Main Methods:

  • Reviewing existing literature on reproducibility in science.
  • Examining replication studies of agent-based models.
  • Comparing challenges in simulation research to laboratory experiments.

Main Results:

  • Reproducibility issues in simulation research may be more severe than in laboratory experiments.
  • Agent-based models present unique reproducibility challenges.
  • Best practices from computer science and wet-lab design can inform solutions.

Conclusions:

  • Addressing reproducibility in agent-based simulations is crucial for scientific integrity.
  • Implementing enhanced practices can improve the reliability of simulation research.
  • Further research and adoption of best practices are needed to bolster confidence in simulation findings.