The FACE-MAP project addresses the need for a comprehensive understanding of human craniofacial morphology across individuals and populations. Characterizing its variability represents a highly relevant field with significant implications across medicine, anthropology, dentistry, and forensic science. Craniofacial features provide fundamental information about individual identity, sex, age, ancestry, and health status, and serve as indicators for detecting anomalies associated with specific genetic syndromes or pathological conditions. Some traits may be highly individualizing and valuable for personal identification, while others vary systematically according to sex, age, or population. Defining this variability enables the development of reference datasets for studying normal and pathological growth trajectories and for early detection of clinically significant deviations. These data are also applicable to evolutionary studies, facial reconstruction from DNA or skeletal remains, the diagnosis of craniofacial disorders, and planning personalized therapeutic strategies. Integrating advanced analytical approaches, including AI-based tools and geometric morphometrics, will allow a more precise definition of morphological uniqueness and inter-individual and population-level variation, enhancing clinical, diagnostic, and forensic relevance while providing new insights for biomedical research. The requested budget of €5000 will support a dedicated workstation for 3D analyses, participation in scientific conferences, and publication fees to ensure dissemination in high-impact journals. FACE-MAP aims to generate knowledge with both immediate translational applications and long-term scientific impact, fostering innovation in the study of human craniofacial variability and advancing translational biomedical research.