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Growth modeling is a key aspect of statistical analysis, particularly in fields such as biology, economics, and social sciences. In primate development studies, ontogeny is a well-known phenomenon that skeletal growth tends to stop at a certain age. Bone dimension measures of over 1200 skeletal sets derived from the Cayo Santiago (CS) rhesus colony were recently collected by a collaborative effort supported through NSF grants. These measures provided a valuable resource for extending a knowledge model for primate skeletal development regarding ontogeny, and variations based on sex and matrilineal lineage. This paper presents initial results of a custom regression model proposed, as well as model comparisons with other popular models used in similar line fitting tasks. Related data analytics and visualization support as implemented in the CSViewer for Analysts system are also described. 

The rich records of Rhesus macaques at Cayo Santiago (CS) with detailed information of individual and family relationships enables extended genetic analyses of the reproductive history of the colony. As a part of a collaborative effort to build a Knowledge Model of the history of health of the CS Rhesus colony, this study further delves into the intricate social group interactions and reproduction dynamics to provide an integrated perspective for a deeper understanding of familial connections and genetic aggregations. Leveraging matrilineal lineage developed from previous work and patrilineal tracing made available since mid-1970’s, as well as inter-group transfer data, this study attempted to provide retrospective views of group evolution history, with an emphasis on dyad interactions regarding their natal and transferred groups. Employing tools and techniques popular in social community analysis, including graph database and Gephi, this study conducted a comparative analysis focused on animals born between 2005 and 2014. Preliminary results indicated that communities identified by using Gephi matched well with census records, while deviations from historical sketches of group evolution summaries existed as well. Upcoming results from using Neo4j, a graph database system, will be compared with these findings, which can be integrated more smoothly with CSViewer for Analysts, the graphical user interfaces for the CS Knowledge Model to be introduced in a workshop at AABA 2024 annual meeting. Findings of this research can help add one more perspective to pathological studies seeking correlations with environmental factors such as food provision and natural disasters like hurricanes. 

ABSTRACT The Cayo Santiago (CS) rhesus macaque colony has raised a total of over 11,000 animals in a free‐ranging setting very close to the natural environment. The well‐kept individual and family records, as well as social group management data, have been a valuable source for anthropological research. However, the various sources of data have been stored in separation, and there was no straightforward way for researchers to access them directly. Since 2019, an ongoing effort supported through an NSF collaborative grant has been collecting morphology and imagery data from the CS‐derived skeleton collection. One specific aim is to build an integrative database to combine newly collected osteology data (bone measurement) and existing genealogy and demographic information. A second aim is to develop a software application (codenamed as CSViewer for Analysts) to provide user‐friendly interfaces for the research community to access and analyze the data. In this paper, we present a set of results generated by using standard data science tools and techniques, which help construct a holistic view of the CS rhesus colony along multiple dimensions. The matrilineal family lineage and pedigree can be visualized using various tree forms, as well as patrilineal lineages traced back to the mid‐1970s. Social group evolution charts are generated and add new features to the original records. Reproduction patterns are studied in the context of group interaction and animal transfer logs. Cross‐referencing between genealogy and osteology data can also be accomplished. Most of these charts are supported in the CSViewer app with convenient tooltip features to show details as needed. Selection based on attributes like founder line, sex, and birth season can be applied to tailor charts to a research project so that researchers can zoom into a data set that can best support their analytics goals. 

ABSTRACT The Cayo Santiago rhesus colony and its derived skeletal collections provide abundant data made available since its founding in 1938. A project supported by an NSF collaborative grant has been committed to building a database that integrates the genetic and age‐related information of the colony, together with social group interactions and environmental effects, aiming to provide a knowledge model to researchers with insights from this powerful non‐human data repository for analyzing human conditions including growth, development, adaption, resilience, aging, and disease in a contextualized manner. This paper introduces CSViewer for Analysts, a computer application that provides user‐friendly tools for researchers to access the integrated database and to generate a variety of visuals encompassing matrilineal or patrilineal family lines, social groups, time spans, phenotypic measurements, and photos recently collected through this project. Adopting Java‐based technologies and third‐party libraries for data analytics and visualization, CSViewer can help its users select meaningful datasets using various criteria, conduct data analytics and visualization tasks, and manage their “project artifacts” (such as selected datasets, models, and charts, etc.). Version 1.0 of the CSViewer app has been tested by collaborators and in a workshop by a limited number of researchers and science educators since 2023. Based on users' feedback, additional features have been implemented in version 1.1.0, and more features are planned for subsequent subversions with bundles for researchers to download and explore.