Call for Book Chapters: Scopus-Indexed Book on Forensic Fingerprints and Questioned Documents by Bentham Science

A new call for book chapters has been announced for an upcoming Scopus-indexed edited volume titled Advances in Forensic Fingerprint and Questioned Document Examination: Emerging Technologies and Trends. The volume will be published by Bentham Science and is open to contributions from legal professionals, law enforcement professionals, forensic researchers, academics, students, and policymakers.

The edited volume will examine developments in forensic fingerprint and questioned document examination, with a particular focus on emerging technologies, artificial intelligence, digital forensics, evidence integrity, quality assurance, and legal frameworks.

Opportunity for Law Students and Legal Researchers

The book chapter opportunity may be particularly relevant to law students, legal researchers, academicians, and professionals interested in forensic evidence, criminal law, evidence law, artificial intelligence, cyber law, digital evidence, expert testimony, and legal admissibility.

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Several proposed themes directly concern legal questions surrounding forensic evidence and emerging technologies. These include the admissibility of forensic evidence, expert testimony, chain of custody, documentation standards, evidence integrity, validation, error rates, and the legal implications of technology-assisted forensic examination.

Researchers can therefore explore the intersection of scientific developments and legal frameworks while contributing to an edited academic volume with a Scopus-indexed publication focus.

Areas of Research

The proposed volume covers the foundations and classical principles of forensic fingerprint identification and questioned document examination. Topics include fingerprint identification, ridge characteristics, handwriting and signature examination, latent fingerprint detection, and the examination of inks, paper, and erasures.

The volume will also consider advanced imaging and instrumental analysis. Potential areas include optical and spectroscopic techniques, multispectral imaging, nanotechnology, small particle reagents, chromatography, and mass spectrometric profiling of questioned inks and toners.

Another major area concerns digital forensics and electronic document integrity. Researchers may examine digital document forensics, metadata, document provenance, electronic authentication, electronic signatures, digital signatures, anti-forgery mechanisms, Automated Fingerprint Identification Systems, and digital image processing.

Artificial Intelligence and Forensic Evidence

The edited volume also invites research concerning the growing use of Artificial Intelligence and Machine Learning in forensic examination.

Potential areas include AI-assisted fingerprint matching, deep learning for handwriting and signature verification, explainable AI and model interpretability, forensic datasets, benchmarking, and standardised testing of AI models.

For legal researchers, these developments raise important questions concerning the reliability and admissibility of AI-assisted evidence, transparency of forensic algorithms, expert testimony, evidentiary standards, algorithmic errors, and the ability of courts to assess technology-based forensic conclusions.

Legal Frameworks and Admissibility

The legal dimension of forensic technology forms an important part of the proposed volume. Contributors may examine validation methods, uncertainty, error-rate estimation, laboratory accreditation, international standards, chain of custody, documentation, and evidence integrity.

The call specifically includes legal admissibility, expert testimony, and courtroom considerations relating to emerging technologies. This makes the opportunity relevant for researchers working on evidence law, criminal procedure, forensic science law, cyber law, technology law, and the use of scientific evidence in courts.

Law researchers may also examine how courts should evaluate emerging forensic methodologies and the challenges posed by AI-driven forensic tools, digital evidence, and automated identification systems.

Who Can Contribute?

The call welcomes contributions from forensic scientists and researchers, academics and students, law enforcement professionals, crime scene investigators, legal professionals, and policymakers.

Law students and legal researchers interested in publishing interdisciplinary research can consider topics connecting forensic science with evidence law, criminal justice, digital technology, artificial intelligence, privacy, expert evidence, and courtroom practice.

Contributors should ensure that their proposed chapters fall within the scope of the edited volume and comply with the submission requirements prescribed by the editors.

Important Dates

The deadline for submission of abstracts is 9 November 2026. Authors will be informed about abstract acceptance on 25 November 2026.

The deadline for submission of full chapters is 25 February 2027, followed by notification of acceptance or revisions on 25 March 2027.

Publisher: Bentham Science

Abstract Submission Deadline: 9 November 2026

Abstract Acceptance Notification: 25 November 2026

Full Chapter Submission Deadline: 25 February 2027

Acceptance/Revisions Notification: 25 March 2027

Editors and Submission Details

The edited volume is being edited by Dr. Shipra Rohatgi, Amity University, AUUP, Noida; Dr. Sachil Kumar, Amity University, AUUP, Noida; and Dr. Gurvinder Singh Sodhi, University of Delhi.

Researchers interested in contributing a chapter can submit their abstracts to shiprarohatgi8@gmail.com.

The opportunity provides law students, legal academics, forensic researchers, and professionals with a platform to explore the rapidly developing relationship between forensic science, emerging technologies, artificial intelligence, and legal frameworks. Those interested in contributing should carefully review the proposed themes and submit their abstracts before the deadline.

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