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SciDash: Measuring the progress of scientific modeling

Scientists develop theoretical model. S to coherently explain seemingly disparate empirical observation. S Rigorously validating a model. S explanatory power requires comparing its predictions against experimental data. Available when the model. Is introduced as well as data. Gathered after its introduction. In most fields, however, the model. Process is informal and incomplete. In this paper, we draw an analogy between scientific model. Ing to argue that formal, machine-checkable validation. From the ro...

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SciDash: Measuring the progress of scientific modeling | scidash.org Reviews
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Scientists develop theoretical model. S to coherently explain seemingly disparate empirical observation. S Rigorously validating a model. S explanatory power requires comparing its predictions against experimental data. Available when the model. Is introduced as well as data. Gathered after its introduction. In most fields, however, the model. Process is informal and incomplete. In this paper, we draw an analogy between scientific model. Ing to argue that formal, machine-checkable validation. From the ro...
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SciDash: Measuring the progress of scientific modeling | scidash.org Reviews

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Scientists develop theoretical model. S to coherently explain seemingly disparate empirical observation. S Rigorously validating a model. S explanatory power requires comparing its predictions against experimental data. Available when the model. Is introduced as well as data. Gathered after its introduction. In most fields, however, the model. Process is informal and incomplete. In this paper, we draw an analogy between scientific model. Ing to argue that formal, machine-checkable validation. From the ro...

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SciDash: Measuring the progress of scientific modeling

Scientists develop theoretical model. S to coherently explain seemingly disparate empirical observation. S Rigorously validating a model. S explanatory power requires comparing its predictions against experimental data. Available when the model. Is introduced as well as data. Gathered after its introduction. In most fields, however, the model. Process is informal and incomplete. In this paper, we draw an analogy between scientific model. Ing to argue that formal, machine-checkable validation. From the ro...

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