Multifactorial and Multimodal Approaches for Advancing Forensic Age Estimation
Published on September 3, 2025
THE EVENT
This online event examines current research on the use of machine learning and artificial intelligence in forensic anthropology, with a particular focus on age estimation in both age-at-death analysis and legal age assessment.
Special attention will be given to deep learning approaches that combine skeletal, dental, and medical imaging data in order to improve the accuracy and reliability of age determination. The talk will review the state of the art in vision-based models and other computational methods, while also addressing major challenges in the field, including the scarcity of large, well-annotated datasets, the need for trustworthy and robust algorithms, and the critical issue of interpretability in forensic applications.
Furthermore, the presentation will highlight significant outcomes and ongoing research lines from two EU-funded projects — UMAFAE (Grant ID 101026482) and M2IbAE (Grant ID 101209534) coordinated by Panacea Cooperative Research. These initiatives underscore the importance of multifactorial and multimodal approaches for advancing forensic age estimation.
The event takes place on Thursday, Sep 18, 2025 at 16:00 CET.
THE SPEAKERS
David Navega is a forensic anthropologist and postdoctoral researcher at Panacea Cooperative Research, specializing in the application of machine learning and artificial intelligence to age estimation. He is currently working on M2IbAE (Multimodal and Multifactorial Image-based Age Estimation), a research project funded by the European Union within the framework of the Marie Skłodowska-Curie Actions.
Javier Venema is a computer scientist and artificial intelligence researcher at Panacea Cooperative Research. He is currently developing a Ph.D. thesis focused on biological profile estimation using Artificial Intelligence.
REGISTRATION
Please fill out the form below if you would like to attend the event: