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Presenting a comprehensive multi-scale evaluation framework for participatory modelling programs: A scoping review.

Grace Yeeun Lee1, Ian Bernard Hickie1, Jo-An Occhipinti1,2

  • 1Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.

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This summary is machine-generated.

This study introduces a new multi-scale framework to evaluate participatory modeling programs. It synthesizes existing research to assess the quality and value of these complex systems modeling efforts.

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Area of Science:

  • Systems science
  • Computational modeling
  • Decision science

Background:

  • Systems modelling and simulation enhance understanding of complex systems for decision-making.
  • Participatory modelling, enabled by technological advances, allows diverse stakeholders to engage in developing systems models.
  • There is a need for improved evaluation of participatory modelling to report its quality, importance, and value.

Purpose of the Study:

  • To identify and assess existing evaluation frameworks, criteria, and processes for participatory modelling.
  • To synthesize findings into a comprehensive multi-scale framework for evaluating participatory modelling programs.

Main Methods:

  • A scoping review approach was employed.
  • A systematic literature search was conducted via Scopus in consultation with experts.
  • Identified records described evaluation frameworks, criteria, or processes in participatory modelling.

Main Results:

  • Eleven studies were identified, showing variation in evaluation purposes, terminology, and scope.
  • A comprehensive multi-scale evaluation framework was developed, comprising four categories (Feasibility, Value, Change/Action, Sustainability) and 30 criteria.
  • The framework addresses project-, individual-, group-, and system-level impacts.

Conclusions:

  • The novel framework offers a flexible, cross-sectoral approach to evaluating the entire participatory modelling process.
  • It synthesizes multidisciplinary expertise to understand implications for policy, learning, and methodological improvement.
  • The framework aids in assessing the practical future implications of participatory modelling programs.