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A Model for Making Project Funding Decisions at the National Cancer Institute

Author

Listed:
  • Nicholas G. Hall

    (Ohio State University, Columbus, Ohio)

  • John C. Hershey

    (University of Pennsylvania, Philadelphia, Pennsylvania)

  • Larry G. Kessler

    (National Cancer Institute, Bethesda, Maryland)

  • R. Craig Stotts

    (National Cancer Institute, Bethesda, Maryland)

Abstract

This paper describes the development of a model for making project funding decisions at The National Cancer Institute (NCI). The American Stop Smoking Intervention Study (ASSIST) is a multiple-year, multiple-site demonstration project, aimed at reducing smoking prevalence. The initial request for ASSIST proposals was answered by about twice as many states as could be funded. Scientific peer review of the proposals was the primary criterion used for funding decisions. However, a modified Delphi process made explicit several criteria of secondary importance. A structured questionnaire identified the relative importance of these secondary criteria, some of which we incorporated into a composite preference function. We modeled the proposal funding decision as a zero-one program, and adjusted the preference function and available budget parametrically to generate many suitable outcomes. The actual funding decision, identified by our model, offers significant advantages over manually generated solutions found by experts at NCI.

Suggested Citation

  • Nicholas G. Hall & John C. Hershey & Larry G. Kessler & R. Craig Stotts, 1992. "A Model for Making Project Funding Decisions at the National Cancer Institute," Operations Research, INFORMS, vol. 40(6), pages 1040-1052, December.
    • Handle: RePEc:inm:oropre:v:40:y:1992:i:6:p:1040-1052
    DOI: 10.1287/opre.40.6.1040
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    Citations

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    Cited by:

    1. Karsu, Özlem & Morton, Alec, 2014. "Incorporating balance concerns in resource allocation decisions: A bi-criteria modelling approach," Omega, Elsevier, vol. 44(C), pages 70-82.
    2. Andrew G. Loerch & Robert R. Koury & Daniel T. Maxwell, 1999. "Value added analysis for army equipment modernization," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(3), pages 233-253, April.
    3. Bayindir, Esra Eren & Gurdal, Mehmet Yigit & Saglam, Ismail, 2019. "A Game Theoretic Approach to Peer Review of Grant Proposals," Journal of Informetrics, Elsevier, vol. 13(4).
    4. Donald L. Keefer & Craig W. Kirkwood & James L. Corner, 2004. "Perspective on Decision Analysis Applications, 1990–2001," Decision Analysis, INFORMS, vol. 1(1), pages 4-22, March.
    5. Nicholas G. Hall & Daniel Zhuoyu Long & Jin Qi & Melvyn Sim, 2015. "Managing Underperformance Risk in Project Portfolio Selection," Operations Research, INFORMS, vol. 63(3), pages 660-675, June.
    6. Frances Stillman & Anne Hartman & Barry Graubard & Elizabeth Gilpin & David Chavis & John Garcia & Lap-Ming Wun & William Lynn & Marc Manley, 1999. "The American Stop Smoking Intervention Study," Evaluation Review, , vol. 23(3), pages 259-280, June.
    7. Tavana, M. & Kennedy, D. T. & Joglekar, P., 1996. "A group decision support framework for consensus ranking of technical manager candidates," Omega, Elsevier, vol. 24(5), pages 523-538, October.
    8. Lieh-Ming Luo, 2012. "Optimal diversification for R&D project portfolios," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 219-229, April.

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