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

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.