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Sequential problem choice and the reward system in the Open Science

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  • Nicolas Carayol

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Michel Dalle

    (LPMA - Laboratoire de Probabilités et Modèles Aléatoires - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

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.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Nicolas Carayol & Jean-Michel Dalle, 2007. "Sequential problem choice and the reward system in the Open Science," Post-Print hal-00652485, HAL.
    • Handle: RePEc:hal:journl:hal-00652485
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    Cited by:

    1. Emilio Barucci & Marco Tolotti, 2012. "Identity, reputation and social interaction with an application to sequential voting," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 79-98, May.
    2. Nicolas Carayol, 2016. "The Right Job and the Job Right: Novelty, Impact and Journal Stratification in Science," Post-Print hal-02274661, HAL.
    3. Hussler Caroline & Pénin Julien, 2010. "The determinants of scientific research agenda: Why do academic inventors choose to perform patentable versus non-patentable research?," Working Papers of BETA 2010-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Paul David & Matthijs den Besten & Ralph Schroeder, "undated". "Will e-Science Be Open Science?," Discussion Papers 08-010, Stanford Institute for Economic Policy Research.
    5. Anita Milman & John M. Marston & Sarah E. Godsey & Jessica Bolson & Holly P. Jones & C. Susan Weiler, 2017. "Scholarly motivations to conduct interdisciplinary climate change research," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 7(2), pages 239-250, June.
    6. Koen Frenken & Luis R. Izquierdo & Paolo Zeppini, 2012. "Recombinant Innovation and Endogenous Transitions," Working Papers 12-01, Eindhoven Center for Innovation Studies, revised Jan 2012.
    7. Bonaccorsi, Andrea & Vargas, Juan, 2010. "Proliferation dynamics in new sciences," Research Policy, Elsevier, vol. 39(8), pages 1034-1050, October.
    8. Julien Pénin, 2009. "On the consequences of university patenting: What can we learn by asking directly to academic inventors?," Working Papers of BETA 2009-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Blandinieres, Florence & Pellens, Maikel, 2021. "Scientist's industry engagement and the research agenda: Evidence from Germany," ZEW Discussion Papers 21-001, ZEW - Leibniz Centre for European Economic Research.

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