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April 30, 2026Criminal Investigation Studies

Investigative Judgment in Data-Saturated Environments - Toward a Normatively Constrained Framework for Decision-Making -

Justin Jin-Hyuk Choi Hyun‐Jin Jun

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Key Points

The central aim is to redefine investigative judgment within a normative structure amid data saturation.
Proposes a conceptual framework comprising three phases: data expansion, selection and prioritization, and analytical closure.
Identifies normative constraints such as proportionality, transparency, modifiability, and accountability at each phase.
Highlights the risk of unstructured judgment as the core issue in investigative effectiveness.
Suggests that existing discussions have largely overlooked the normative aspects in decision-making processes.

Implication

Proposes a normative framework for decision-making in investigative judgment under data saturation, suggesting implications for practices.

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Cite This Study

Choi et al. (2026) studied this question.

synapsesocial.com/papers/69fecf16b9154b0b828761c4 https://doi.org/10.46225/cis.2026.4.12.1.237

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