Avin, Shahar
(2016)
Centralised Funding and the Division of Cognitive Labour.
In: UNSPECIFIED.
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Abstract
Project selection by funding bodies directly influences the division of cognitive labour in scientific communities. I present a novel adaptation of an existing agent-based model of scientific research, in which a central funding body selects from proposed projects located on an epistemic landscape. I simulate four different selection strategies: selection based on a god's-eye perspective of project significance, selection based on past success, selection based on past funding, and random selection. Results show the size of the landscape matters: on small landscapes historical information leads to slightly better results than random selection, but on large landscapes random selection greatly outperforms historically-informed selection.
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Centralised Funding and the Division of Cognitive Labour. (deposited 28 Oct 2016 13:42)
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