Adult Age Estimated From New Skeletal Traits And Enhanced Computer-Based Transition Analysis

As submitted by the proposer:
Accurate and precise age estimates are critical when identifying people represented by skeletal remains. Unfortunately, obtaining such estimates represents one of the greatest challenges that face forensic anthropologists.

This project involves 1) skeletal trait definition and the collection of data on their ages of transition, 2) the refinement of a novel mathematical approach to properly handle the resulting age-related information, and 3) programming to produce a computer program that allows forensic practitioners to take advantage of the new skeletal information and analytical procedures. The resulting procedure will produce unbiased estimates of age throughout the adult lifespan, including the elderly that cannot be aged with standard methods. Individualized estimates are based on the array of morphological characteristics observable in each skeleton.
Because the procedure relies on bony features distributed throughout the body, age estimates will be possible for incomplete skeletons, which is essential in forensic applications. Uncertainty about age estimates is expressed by age interval lengths.

The NIJ project covers the collection of data from four known-age skeletal samples, the incorporation of old data recharacterized for this project, assessments of observer error in scoring procedures, and validation studies. Procedure development includes identifying ages of transition from early to late morphological stages for many skeletal features, as well as computer programming to produce a program that will be widely available to the forensic community.
The NIJ project builds on the principal participants' extensive experience in the
osteological, analytical, and computer programming phases of the planned work. In fact, the NIJ project can be viewed as the capstone of many years of research by project participants focusing on age estimation (almost two decades for two team members). In essence, the research team's demonstrated success with experience-based estimates of known-age skeletons from three continents will be distilled into a quantitative procedure that can be accessed through a user friendly computer program. The results should approximate the success of our prior work that has demonstrated the importance of a much broader array of characteristics than osteologists routinely examine. Once the NIJ project is completed, users of the procedure will only have to score anatomical features and enter them into the program to obtain results presented in numerical and graphical form suitable for specialist and non-specialist audiences. Project participants will publish articles and present papers and workshops on the procedure and the interpretation of results.
ca/ncf