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Applying Deep Leverage Points to Decision Making Under Deep Uncertainty for Climate Transformation

The paper reviews decision-making techniques under deep uncertainty (DMDU) for low-carbon transitions, identifying a lack of focus on structural uncertainty and deep leverage points. It recommends future research to explicitly incorporate these elements into infrastructure decision-making models.

Open to researchMBA suitableQualified 92/100P4 provenance
Primary research question

How can structural uncertainty and deep leverage points be effectively integrated into DMDU frameworks for climate transformation?

Knowledge gap

What remains worth asking

The source suggests that current models often neglect structural uncertainty and deep leverage points, and it remains useful to test new modeling approaches that address these gaps.

Potential contribution

Why it may matter

This research will improve the accuracy and effectiveness of interventions aimed at achieving transformative climate change.

Academic placement

OECD fields and topic tags

6.3Philosophy, ethics and religion
Climate PolicySystems EngineeringDecision Science

Scope: Infrastructure decision-making for low-carbon societal transformation. · Method signals: System dynamics modeling, Structured literature review, Scenario analysis

Possible study pathways

One question, different levels

Professional master’s / MBA

Strategic decision-making for sustainability

Doctoral

Systems modeling and climate policy

originalityAdvanced
methodologyAdvanced
Data accessModerate
ethicsAccessible

Qualification signal

92/100

  • Focus on technical model development
  • Requires strong quantitative background
  • Open-access scholarly source and DOI metadata verified

Provenance

Research Idea Registry curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.

APA 7 source

Few, S., Bonjean Stanton, M. C., & Roelich, K. (2023). Decision making for transformative change: exploring model use, structural uncertainty and deep leverage points for change in decision making under deep uncertainty. Frontiers in Climate, 5, Article 1129378. https://doi.org/10.3389/fclim.2023.1129378

Paper abstract and discussion context; AI-inferred direction

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