International Conference on Forensic Inference and Statistics

Important dates

1. 28 Oct

   Abstract / full paper deadline

   Passed

2. 24 Nov

   Conference

   Tokyo, Japan

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

The key intention of ICFIS is to provide opportunity for the global participants to share their ideas and experience in person with their peers expected to join from different parts on the world. In addition this gathering will help the delegates to establish research or business relations as well as to find international linkage for future collaborations in their career path. We hope that ICFIS outcome will lead to significant contributions to the knowledge base in these up-to-date scientific fields in scope.

Topics and scope

• Bayesian Inference in Forensic Science: Theory and Practice
• Likelihood Ratios in Forensic Evidence Interpretation
• Statistical Models for DNA Profiling and Mixture Analysis
• Machine Learning Techniques in Forensic Pattern Recognition
• Quantifying Uncertainty in Forensic Conclusions
• Error Rates and Validation of Forensic Methods
• Probabilistic Genotyping in DNA Evidence Analysis
• Statistical Analysis of Fingerprint Comparison
• Forensic Speaker Recognition: Statistical Approaches
• The Role of Big Data in Forensic Investigations
• Forensic Evaluation of Digital and Cyber Evidence
• Statistical Challenges in Facial Recognition and Biometrics
• Use of Artificial Intelligence in Forensic Decision-Making
• Bayesian Networks for Complex Forensic Case Scenarios
• Combining Multiple Evidence Sources: A Statistical Framework
• Interpreting Trace Evidence: From Quantification to Inference
• Legal and Ethical Issues in Statistical Reporting in Court
• Monte Carlo Methods in Forensic Science
• Evidential Value of Shoeprints and Toolmarks: Statistical Analysis
• Forensic Statistics Education and Capacity Building

Call for papers

The call for papers closed on 28 October 2026. For other conferences, see open calls for papers in this field.