A framework for characterising and evaluating the effectiveness of environmental modelling


Environmental modeling is transitioning from the traditional paradigm that focuses on the model and its quantitative performance to a more holistic paradigm that recognises successful model-based outcomes are closely tied to undertaking modeling as a social process, not just as a technical procedure. This paper redefines evaluation as a multi-dimensional and multi-perspective concept, and proposes a more complete framework for identifying and measuring the effectiveness of modeling that serves the new paradigm. Under this framework, evaluation considers a broader set of success criteria, and emphasizes the importance of contextual factors in determining the relevance and outcome of the criteria. These evaluation criteria are grouped into eight categories: project efficiency, model accessibility, credibility, saliency, legitimacy, satisfaction, application, and impact. Evaluation should be part of an iterative and adaptive process that attempts to improve model-based outcomes and foster pathways to better futures.

Publication Type
Journal Article
Serena H. Hamilton
Baihua Fu, Australian National University
Joseph H.A. Guillaume
Jennifer Badham, Queen's University Belfast
Sondoss Elsawah, University of New South Wales
Patricia Gober, Arizona State University
Randall J. Hunt
Takuya Iwanaga, Australian National University
Tony Jakeman, Australian National University
Daniel P. Ames
Allan Curtis
Mary C. Hill
Suzanne A. Pierce
Fateme Zare
Environmental Modelling & Software

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