Publications and Resources

This paper summarizes a 5-y research study designed to assess the accuracy and reliability of forensic handwriting comparison decisions, which is important in assessing scientific validity for admissibility in court.

Noblis’ high-performance computing (HPC) services foster client adoption of artificial intelligence (AI) and analytic solutions across national security, law enforcement and federal civilian markets.

Austin Hicklin, director of the Noblis forensic science group, co-presented findings of a bloodstain pattern analysis black box study to a NIST-sponsored forensic research group. Read the findings and watch the webinar.

Artificial Intelligence (AI) and Machine Learning (ML) are powerful methods for data processing and analysis but are complex to understand. XAI can be used to clarify the deep learning methods within AI and assures the algorithms are looking at the right features during their decision-making process.

A collection of published studies and research co-authored by Noblis experts and others on the topic of latent fingerprint examination and comparison for forensic experts.

This framework can provide the foundation for future discipline-specific quality assessment methods for use in both research and operations.

Biometric and forensic datasets have a lifecycle that passes through three stages: collection, dissemination, and use. This document discusses some of the issues that can arise through this lifecycle, with examples of when the collection or use of such datasets have gone very wrong — and recommends best practices that should help avoid such pitfalls.