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Focal randomisation: An optimal mechanism for the evaluation of R&D projects

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  • Elise S Brezis

Abstract

In most countries, governments intervene in the process of R&D by financing a substantial part of it. The mechanism employed for choosing the projects to be financed is a committee composed of experts who evaluate projects in their field of specialisation, and decide which ones should be funded. This method is conservative. Proposals for new ideas are too often rejected, and inventions are commonly thrown out of the set of potential projects. In this paper, I propose a mechanism that will allow less conformity: focal randomisation. This states that projects that are unanimously ranked at the top by all reviewers will be adopted. Projects perceived as valueless by all are rejected, while projects that are ranked differently are randomised. I compare the average return under the present and proposed mechanisms. I examine under which conditions this new method is preferable, and its consequences on economic growth. Copyright , Beech Tree Publishing.

Suggested Citation

  • Elise S Brezis, 2007. "Focal randomisation: An optimal mechanism for the evaluation of R&D projects," Science and Public Policy, Oxford University Press, vol. 34(10), pages 691-698, December.
  • Handle: RePEc:oup:scippl:v:34:y:2007:i:10:p:691-698
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    File URL: http://hdl.handle.net/10.3152/030234207X265394
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    Cited by:

    1. Charles Ayoubi & Michele Pezzoni & Fabiana Visentin, 2021. "Does It Pay to Do Novel Science? The Selectivity Patterns in Science Funding," Science and Public Policy, Oxford University Press, vol. 48(5), pages 635-648.
    2. Elise S. Brezis & Aliaksandr Birukou, 2020. "Arbitrariness in the peer review process," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 393-411, April.
    3. Nestor Duch-Brown & Jose Garcia-Quevedo & Daniel Montolio, 2008. "Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?," Working Papers in Economics 207, Universitat de Barcelona. Espai de Recerca en Economia.
    4. Kevin Gross & Carl T Bergstrom, 2019. "Contest models highlight inherent inefficiencies of scientific funding competitions," PLOS Biology, Public Library of Science, vol. 17(1), pages 1-15, January.
    5. Elias Bouacida & Renaud Foucart, 2022. "Rituals of Reason," Working Papers 344119591, Lancaster University Management School, Economics Department.
    6. Simon Hirzel & Tim Hettesheimer & Peter Viebahn & Manfred Fischedick, 2018. "A Decision Support System for Public Funding of Experimental Development in Energy Research," Energies, MDPI, vol. 11(6), pages 1-18, May.
    7. Hyun-Kyu KANG, 2015. "Development of Guideline for Preliminary Feasibility Study on Government R&D Programs in Korea," Proceedings of International Academic Conferences 2805212, International Institute of Social and Economic Sciences.
    8. Axel Philipps, 2022. "Research funding randomly allocated? A survey of scientists’ views on peer review and lottery," Science and Public Policy, Oxford University Press, vol. 49(3), pages 365-377.
    9. Osterloh, Margit & Frey, Bruno S., 2020. "How to avoid borrowed plumes in academia," Research Policy, Elsevier, vol. 49(1).
    10. Elias Bouacida & Renaud Foucart, 2020. "The acceptability of lotteries in allocation problems," Working Papers 301646245, Lancaster University Management School, Economics Department.

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