Sequential Problem Choice and the Reward System in Open Science

Nicolas Carayol and Jean-Michel Dalle

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Abstract: In this paper we present an original model of sequential problem choice within scientific communities. Disciplinary knowledge is accumulated in the form of a growing tree-like web of research areas. Knowledge production is sequential since the problems addressed generate new problems that may in turn be handled. This model allows us to study how the reward system in science influences the scientific community in stochastically selecting problems at each period. Long term evolution and generic features of the emerging disciplines as well as relative efficiency of problem selection are analyzed.

Keywords: Sequential problem choice; Stochastic process; Tree Graph theory; Scientific knowledge; Academics; Reward system (search for similar items in EconPapers)
Date: 2004
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Published in Structural Change and Economic Dynamics, 2004, 18 (2), pp.167-191. ⟨10.1016/j.strueco.2006.05.001⟩

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Journal Article: Sequential problem choice and the reward system in Open Science (2007)
Working Paper: Sequential problem choice and the reward system in the Open Science (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00279233

DOI: 10.1016/j.strueco.2006.05.001

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