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Bridget F. B. Algee-Hewitt
Researcher at Stanford University
Publications - 36
Citations - 623
Bridget F. B. Algee-Hewitt is an academic researcher from Stanford University. The author has contributed to research in topics: Population & Forensic anthropology. The author has an hindex of 12, co-authored 34 publications receiving 505 citations. Previous affiliations of Bridget F. B. Algee-Hewitt include University of Tennessee & Florida State University.
Papers
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The reality of virtual anthropology: Comparing digitizer and laser scan data collection methods for the quantitative assessment of the cranium
TL;DR: How laser scans can provide a valuable digital archive of cranial material that can be reasonably exploited for the "virtual" collection of coordinates and the calculation of ILDs is revealed.
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Understanding (Mis)classification Trends of Latin Americans in Fordisc 3.1: Incorporating Cranial Morphology, Microgeographic Origin, and Admixture Proportions for Interpretation.
TL;DR: This paper examined the relationship among ancestry, geography, and Fordisc 3.1 misclassification of Latinos using canonical variate analysis and unsupervised model-based clustering of craniometrics.
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Testing Reliability of the Computational Age‐At‐Death Estimation Methods between Five Observers Using Three‐Dimensional Image Data of the Pubic Symphysis,
Jieun Kim,Bridget F. B. Algee-Hewitt,Bridget F. B. Algee-Hewitt,Bridget F. B. Algee-Hewitt,Detelina K. Stoyanova,Detelina K. Stoyanova,Cristina Figueroa-Soto,Dennis E. Slice,Dennis E. Slice +8 more
TL;DR: This study supports the application of computational methods to 3D laser scanned images for reliable age‐at‐death estimation, with reduced subjectivity.
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Inferring Age at Death for Japanese and Thai Skeletal Samples under a Bayesian Framework of Analysis: A Test of Priors and Their Effects on Estimation
TL;DR: The results of the analyses show that the informative prior outperforms when it is carefully chosen to reflect the geographic and temporal origins of the target population, as well as various informative priors, derived from a Japanese mortality database and skeletal collections.
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Geographic substructure in craniometric estimates of admixture for contemporary American populations.
TL;DR: Heterogeneity in craniometrically-derived estimates of admixture is investigated in order to reveal population substructure in a sample of Black, White, Hispanic, and Native American individuals from the FDB and its findings agree with census trends and speak broadly to admixture dynamics and ancestral diversity among contemporary Americans.