JRU Topic Selection

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Evaluates research scope and refines paper framing around risk and uncertainty primitives for submission to the Journal of Risk and Uncertainty.

JRU Topic Selection helps economics and decision-science researchers assess whether their paper aligns with the editorial scope of the Journal of Risk and Uncertainty (JRU). It prevents desk rejections by diagnosing whether a study's core contribution is an authentic risk or uncertainty primitive—such as utility curvature, probability weighting, ambiguity aversion, or value of a statistical life (VSL)—rather than an incidental application, a broad behavioral grab-bag, or an isolated experimental procedure. The skill establishes precise boundaries against sibling journals like Experimental Economics, JEBO, and Theory and Decision to ensure manuscripts target the right venue with optimal framing.

主要功能

01Draws clear boundary tests versus Experimental Economics, JEBO, and Theory and Decision
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03Evaluates research fit against Journal of Risk and Uncertainty editorial standards
04Provides standardized triage verdicts with actionable literature positioning handoffs
05Identifies common desk-screen risks including risk-washing and pure axiomatics
06Guides re-anchoring of borderline papers onto core risk and uncertainty primitives

使用场景

01Conducting pre-submission scope reviews to avoid editorial desk rejections
02Re-framing an insurance, health, or market study to highlight decision-theoretic parameter contributions
03Determining if an empirical or behavioral study should be sent to JRU or a sibling economics journal