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Model Evaluation

Parker, Wendy S. (2024) Model Evaluation. The Routledge Handbook of Scientific Modeling.

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Abstract

The aim of model evaluation is to learn about the quality of one or more scientific models. Quality may be conceptualized as accurate and comprehensive representation, relevant similarity, fitness-for-purpose, or in some other way. The conception of quality that is adopted carries implications for the practice of model evaluation, including whether it must attend to factors other than model-target relationships. Numerous obstacles and challenges arise in model evaluation, such as limited observations of the target system, model opacity, holism in assessment, and uncertainty about how to quantify model quality. As a consequence, it is sometimes difficult to reach confident conclusions about model quality.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Parker, Wendy S.wendyparker@vt.edu
Keywords: models, computer simulation, model evaluation, fitness-for-purpose
Subjects: General Issues > Computer Simulation
General Issues > Confirmation/Induction
General Issues > Models and Idealization
Depositing User: Wendy Parker
Date Deposited: 17 Mar 2025 16:12
Last Modified: 17 Mar 2025 16:12
Item ID: 24914
Journal or Publication Title: The Routledge Handbook of Scientific Modeling
Publisher: Routledge
Official URL: https://www.routledge.com/The-Routledge-Handbook-o...
Subjects: General Issues > Computer Simulation
General Issues > Confirmation/Induction
General Issues > Models and Idealization
Date: 2024
URI: https://philsci-archive.pitt.edu/id/eprint/24914

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