A framework for characterising and evaluating the effectiveness of environmental modelling
| Autor: | Daniel P. Ames, Randall J. Hunt, Suzanne A. Pierce, Joseph H. A. Guillaume, Sondoss Elsawah, Serena H. Hamilton, Fateme Zare, Anthony Jakeman, Allan Curtis, Baihua Fu, Patricia Gober, Jennifer Badham, Mary C. Hill, Takuya Iwanaga |
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| Přispěvatelé: | Australian National University, Department of Built Environment, Queen's University Belfast, Arizona State University, United States Geological Survey, Brigham Young University, Charles Sturt University, University of Kansas, University of Texas at Austin, Aalto-yliopisto, Aalto University |
| Rok vydání: | 2019 |
| Předmět: |
model evaluation
Environmental Engineering Process management Process (engineering) Computer science 0208 environmental biotechnology Model assessment Model performance 02 engineering and technology 010501 environmental sciences 01 natural sciences Outcome (game theory) Credibility Relevance (information retrieval) Set (psychology) Model evaluation ta218 Legitimacy 0105 earth and related environmental sciences Environmental modelling Ecological Modeling model assessment model performance 020801 environmental engineering Ecological Modelling Futures contract Software |
| Zdroj: | Hamilton, S H, Fu, B, Guillaume, J H A, Badham, J, Elsawah, S, Gober, P, Hunt, R J, Iwanaga, T, Jakeman, A J, Ames, D P, Curtis, A, Hill, M C, Pierce, S A & Zare, F 2019, ' A framework for characterising and evaluating the effectiveness of environmental modelling ', Environmental Modelling and Software, vol. 118, pp. 83-98 . https://doi.org/10.1016/j.envsoft.2019.04.008 |
| ISSN: | 1364-8152 |
| DOI: | 10.1016/j.envsoft.2019.04.008 |
| Popis: | Environmental modelling 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 modelling 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 modelling that serves the new paradigm. Under this framework, evaluation considers a broader set of success criteria, and emphasises 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. |
| Databáze: | OpenAIRE |
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