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CSAFE’s Latest Resources

Change cannot happen without community. CSAFE is passionate about achieving its mission to apply a statistically sound and scientifically solid foundation to the interpretation of forensic evidence. To that end, we invite fellow scientists and researchers, along with those in the forensic and legal communities, to use and share these resources as we work together to elevate forensic science and technology.

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Error Rate Methods for Forensic Handwriting Identification

Type: Research Area(s): ,

Published: 2022 | By: Danica Ommen

Presentation is from the 106th International Association for Identification (IAI) Annual Educational Conference

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Modeling Covarying Responses in Complex Tasks

Type: Research Area(s):

Published: 2022 | By: Amanda Luby

In testing situations, participants are often asked for supplementary re- sponses in addition to the primary response of interest, which may in- clude quantities like confidence or reported difficulty. These additional responses can be incorporated into a psychometric model either…

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Analyzing spatial responses: A comparison of IRT- based approaches, Conference Presentation

Type: Research Area(s):

Published: 2022 | By: Amanda Luby

We investigate two approaches for analyzing spatial coordinate responses using models inspired by Item Response Theory (IRT). In the first, we use a two-stage approach to first construct a pseudoresponse matrix using the spatial information and then apply standard IRT…

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Characterizing Variability in Forensic Decision-Making with Item Response Theory

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Published: 2022 | By: Amanda Luby

This presentation is from the 2022 Joint Statistical Meetings

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Measuring Proficiency among Latent Print Examiners: A Statistical Approach from Standardized Testing

Type: Research Area(s): ,

Published: 2022 | By: Amanda Luby

This presentation is from the 74th Annual Scientific Conference of the American Academy of Forensic Sciences

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Ensemble of SLR systems for forensic evidence

Type: Research Area(s):

Published: 2022 | By: Federico Veneri

Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratio and Bayes Factor to quantify the value of forensic evidence. Scores allow formulating comparisons using a lower-dimensional metric, which becomes relevant for complex evidence where…

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Likelihood Ratios for Categorical Evidence with Applications to Digital Forensics

Type: Research Area(s): ,

Published: 2022 | By: Rachel Longjohn

In forensic investigations, the goal of evidence evaluation is often to address source-/identity-based questions in which the evidence consists of two sets of observations: one from an unknown source tied to a crime and the other from a known source.…

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Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data

Type: Research Area(s):

Published: 2022 | By: Andrew Lim

Primary goals are to examine: 1. Write diversification versus representation. 2. Preservation of handwriting structure versus image density. 3. Input size versus training size. 4. Writer identification complexity assessment using various test sites.

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A New Algorithm for Source Identification of Look-alike Footwear Impressions Based on Automatic Alignment

Type: Research Area(s):

Published: 2022 | By: Hana Lee

Presentation at the International Association for Identification

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Unpacking the Sources of Error in Forensic Evidence

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Published: 2021 | By: Brandon Garrett

An overview of the Autopsy of a Crime Lab book and the ways in which error can occur in forensic evidence

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