#fibreevidence

Narrative Bayesian Networks for Forensic Fibre Evaluation #researchawards #fosawards #sciencefather

This study presents a structured methodology for developing narrative Bayesian Networks to evaluate forensic fibre evidence under activity-level propositions. The approach integrates contextual information, transfer mechanisms, persistence factors, and alternative explanations, enabling transparent and probabilistic interpretation of fibre findings. By linking narrative elements with Bayesian modelling, the framework enhances evidential reasoning, supports robust likelihood assessments, and improves the clarity and reliability of forensic opinion at the activity level.

Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee

Website: https://forensicscientist.org/

This study presents a structured methodology for constructing narrative Bayesian networks aimed at evaluating forensic fibre evidence within the framework of activity level propositions. The approach integrates contextual case information, expert reasoning, and probabilistic logic to improve transparency and consistency in forensic interpretation, especially in scenarios involving fibre transfer and persistence.

Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee

Website: https://forensicscientist.org/