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The top eight percent: Development of approved and rejected applicants for a prestigious grant in Sweden

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  • Göran Melin
  • Rickard Danell

Abstract

In the final round of a call for applications for one of Sweden's most prestigious research grants, 40 relatively young and potentially promising researchers remained. Half were eventually approved; the other half were rejected. The differences between them in terms scientific merit were investigated. No particular differences were found. How did these two groups differ in terms of scientific development a few years later, with respect to publications, international co-authorships, further funding and spin-offs? Results show that the approved group has been more successful in many ways. A discussion is held regarding the effects of providing young promising researchers with sufficient funding, and the cost of failing to do so. Copyright , Beech Tree Publishing.

Suggested Citation

  • Göran Melin & Rickard Danell, 2006. "The top eight percent: Development of approved and rejected applicants for a prestigious grant in Sweden," Science and Public Policy, Oxford University Press, vol. 33(10), pages 702-712, December.
    • Handle: RePEc:oup:scippl:v:33:y:2006:i:10:p:702-712
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    File URL: http://hdl.handle.net/10.3152/147154306781778579
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    Cited by:

    1. Sarah Seus & Susanne Bührer, 2022. "The evaluation of the Austrian START programme: an impact analysis of a research funding programme using a multi-method approach," The Journal of Technology Transfer, Springer, vol. 47(3), pages 673-698, June.
    2. Lettice, Fiona & Smart, Palie & Baruch, Yehuda & Johnson, Mark, 2012. "Navigating the impact-innovation double hurdle: The case of a climate change research fund," Research Policy, Elsevier, vol. 41(6), pages 1048-1057.
    3. Melin, Göran, 2007. "Reviewing applications by women - critical use of additive and reasoning evaluation methods," Working Paper Series in Economics and Institutions of Innovation 97, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    4. Conor O'Kane & James Cunningham & Vincent Mangematin, 2012. "Underpinning Strategic Behaviours and Posture of Principal Investigators in Transition/Uncertain Environments," Working paper serie RMT - Grenoble Ecole de Management hal-00794944, HAL.
    5. Kevin W. Boyack & Caleb Smith & Richard Klavans, 2018. "Toward predicting research proposal success," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 449-461, February.
    6. Adriana Bin & Sergio Salles-Filho & Ana Carolina Spatti & Jesús Pascual Mena-Chalco & Fernando Antonio Basile Colugnati, 2022. "How much does a Ph.D. scholarship program impact an emerging economy research performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6935-6960, December.
    7. Bornmann, Lutz & Leydesdorff, Loet & Van den Besselaar, Peter, 2010. "A meta-evaluation of scientific research proposals: Different ways of comparing rejected to awarded applications," Journal of Informetrics, Elsevier, vol. 4(3), pages 211-220.
    8. Conor O'Kane & James Cunningham & Vincent Mangematin, 2012. "Underpinning Strategic Behaviours and Posture of Principal Investigators in Transition/Uncertain Environments," Working Papers hal-00794944, HAL.
    9. Stefan Hornbostel & Susan Böhmer & Bernd Klingsporn & Jörg Neufeld & Markus Ins, 2009. "Funding of young scientist and scientific excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 171-190, April.
    10. Tóth, Tamás & Demeter, Márton & Csuhai, Sándor & Major, Zsolt Balázs, 2024. "When career-boosting is on the line: Equity and inequality in grant evaluation, productivity, and the educational backgrounds of Marie Skłodowska-Curie Actions individual fellows in social sciences an," Journal of Informetrics, Elsevier, vol. 18(2).
    11. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
    12. Adriana Bin & Sergio Salles-Filho & Luiza Maria Capanema & Fernando Antonio Basile Colugnati, 2015. "What difference does it make? Impact of peer-reviewed scholarships on scientific production," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1167-1188, February.
    13. van den Besselaar, Peter, 2012. "Selection committee membership: Service or self-service," Journal of Informetrics, Elsevier, vol. 6(4), pages 580-585.
    14. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
    15. Walker, James & Brewster, Chris & Fontinha, Rita & Haak-Saheem, Washika & Benigni, Stefano & Lamperti, Fabio & Ribaudo, Dalila, 2022. "The unintended consequences of the pandemic on non-pandemic research activities," Research Policy, Elsevier, vol. 51(1).

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