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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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Source identification of shoeprints in mock crime scene using an algorithm based on automatic alignment

Type: Research Area(s): ,

Published: 2023 | By: Hana Lee

This presentation is from the 75th Anniversary Conference of the American Academy of Forensic Sciences, Orlando, Florida, February 13-18, 2023. Posted with permission of CSAFE

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Ensemble of Score Likelihood Ratios under the common source problem

Type: Research Area(s):

Published: 2023 | By: Frederico Veneri

Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratios and Bayes Factor to quantify the value of evidence when contrasting two opposing propositions. Under the common source problem, the opposing proposition relates to the…

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Forensic Analysis on Android Social Networking Applications

Type: Research Area(s):

Published: 2023 | By: Chen Shi

This presentation is from the 75th Anniversary Conference of the American Academy of Forensic Sciences, Orlando, Florida, February 13-18, 2023. Posted with permission of CSAFE.

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Source Camera Identification on Multi-Camera Phones

Type: Research Area(s): ,

Published: 2023 | By: Stephanie Reinders

Camera identification addresses the scenario where an investigator has a questioned digital image from an unknown camera. The investigator wants to know whether the questioned image was taken by a camera on a person of interest’s phone. Researchers discovered that…

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Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data

Type: Research Area(s): ,

Published: 2023 | By: Pilhyun (Andrew) Lim

Identifying the source of handwriting is an important application in the field of forensic science that addresses questioned document evidence found in criminal cases and civil litigation. It is difficult, given the idiosyncrasies of a person’s handwriting, to recognize the…

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Quantifying Bayes Factors for Forensic Handwriting Evidence

Type: Research Area(s): ,

Published: 2023 | By: Anyesha Ray

Questioned Document Examiners (QDEs) are tasked with analyzing handwriting evidence to make source (or writership) determinations. The Center for Statistics and Applications of Forensic Evidence (CSAFE) has previously developed computational methods to automatically extract quantifiable handwriting features and statistical methods…

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Quantifying Writer Variance Through Rainbow Triangle Graph Decomposition of the Common Word “the”

Type: Research Area(s): ,

Published: 2023 | By: Alexandria Arabio

Handwriting comparative analysis is based on the principle that no two individuals can produce the same writing and that an individual cannot exactly reproduce his/her handwriting. This project aims to assess and quantify the natural variations produced by a distinct…

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A Likelihood Ratio Approach for Detecting Behavioral Changes in Device Usage Over Time

Type: Research Area(s):

Published: 2023 | By: Rachel Longjohn

This work focuses on the situation in which investigators have obtained as evidence logs of user-generated activities on a device, such as sending text messages or emails, opening or interacting with mobile apps, or making calls from particular locations. Quantitative…

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An Ounce of Prevention: A Simple and Practical Tool for Mitigating Cognitive Bias in Forensic Decisions.

Type: Research Area(s):

Published: 2023 | By: Adele Quigley-McBride

Learning Overview: The free information management toolkit described in this presentation will be introduced and attendees will learn to use this toolkit as a training tool and as a practical solution for analysts and laboratories interested in implementing the Linear…

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Sampling & Non-Response: Implications for inference in black-box studies

Type: Research Area(s): ,

Published: 2023 | By: Kori Khan

The following is from University of California Law San Francisco symposium "Forensic identification in criminal courts," February 2023. Posted with permission of CSAFE.

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