On Modeling Worldviews in Quantitative Decision Support.

Area of Science:

• Decision Analysis
• Risk Management
• Social Science Theory

Background:

• Effective decision-making under deep uncertainty requires addressing diverse stakeholder concerns and perspectives.
• Risk analysts face challenges when stakeholders lack shared fundamental viewpoints.
• Existing modeling approaches may not adequately foster trust and legitimacy in deliberative processes.

Purpose of the Study:

• To evaluate a proposed modeling approach for improving risk analysis deliberation.
• To explore how incorporating social science worldviews impacts stakeholder engagement.
• To identify factors that enhance competence and legitimacy in model-based deliberation.

Main Methods:

• The commentary analyzes a proposal by Lempert and Turner to integrate three social science worldviews into risk analysis models.
• It proposes an alternative inductive modeling approach, prioritizing stakeholder concerns.
• The discussion contrasts the complexity and accessibility trade-offs of different modeling strategies.

Main Results:

• Incorporating three worldviews may improve deliberation but adds complexity.
• Inductive model building, starting with stakeholder concerns, is suggested to foster competence and legitimacy.
• Complex modeling approaches may hinder accessibility and trust.

Conclusions:

• Inductive modeling approaches that prioritize stakeholder concerns are more likely to build trust and legitimacy.
• Balancing model complexity with accessibility and trust is crucial for effective risk analysis.
• Future research should focus on developing accessible and trustworthy models for deep uncertainty.