Harnagel, Audrey (2018) A Mid-Level Approach to Modeling Scientific Communities. [Preprint]
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Abstract
This paper provides an account of mid-level models, which calibrate highly theoretical agent-based models of scientific communities by incorporating empirical information from real-world systems. As a result, these models more closely correspond with real-world communities, and are better suited for informing policy decisions than extant how-possibly models. I provide an exemplar of a mid-level model of science funding allocation that incorporates bibliometric data from scientific publications and data generated from empirical studies of peer review into an epistemic landscape model. The results of my model show that on a dynamic epistemic landscape, allocating funding by modified and pure lottery strategies performs comparably to a perfect selection funding allocation strategy. These results support the idea that introducing randomness into a funding allocation process may be a tractable policy worth exploring further through pilot studies. My exemplar shows that agent-based models need not be restricted to the abstract and the a-priori; they can also be informed by real empirical data.
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| Item Type: | Preprint | ||||||
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| Keywords: | science funding, grant peer review, agent-based models, social epistemology of science | ||||||
| Subjects: | General Issues > Models and Idealization General Issues > Science and Society General Issues > Science and Policy |
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| Depositing User: | Audrey Harnagel | ||||||
| Date Deposited: | 27 Sep 2018 17:07 | ||||||
| Last Modified: | 27 Sep 2018 17:07 | ||||||
| Item ID: | 15065 | ||||||
| Subjects: | General Issues > Models and Idealization General Issues > Science and Society General Issues > Science and Policy |
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| Date: | 12 April 2018 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/15065 |
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