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    Traditional cost-benefit analysis (CBA) is inadequate for complex biotechnology conflicts. This essay proposes integrating CBA within formal scenario planning for better decision support in biotechnology applications.

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    Area of Science:

    • Social Sciences
    • Biotechnology Ethics
    • Decision Analysis

    Background:

    • Social problems often stem from conflicting interests and perspectives.
    • Biotechnology applications exemplify these complex societal challenges.
    • Existing decision-making tools struggle with the inherent complexity and uncertainty of these issues.

    Purpose of the Study:

    • To critique the limitations of traditional cost-benefit analysis (CBA) for biotechnology.
    • To introduce formal scenario planning as a superior decision support methodology.
    • To demonstrate how CBA can be adapted as a supporting tool within scenario planning.

    Main Methods:

    • Analysis of the limitations of cost-benefit analysis in complex socio-economic contexts.
    • Description of key elements of formal scenario planning.
    • Proposal for integrating cost-benefit analysis into scenario planning frameworks.

    Main Results:

    • Cost-benefit analysis oversimplifies complex issues and masks uncertainty.
    • Scenario planning accommodates multiple perspectives and potential outcomes.
    • Redeploying CBA within scenario planning enhances decision support for biotechnology.

    Conclusions:

    • Cost-benefit analysis alone is insufficient for adjudicating biotechnology conflicts.
    • Formal scenario planning offers a more robust framework for complex decisions.
    • Integrating CBA into scenario planning provides a more nuanced approach to biotechnology governance.