Samuel Plent is an alum of the CHRM program, having received his master's degree in 2023. His thesis is titled Recent Timbering Activity as a Variable in Predictive Modeling. Plent's thesis explores how the presence of recent timbering activities affects the predictive power of predictive models in regard to precontact archaeological sites in Henry County, Georgia. Timber from pine silviculture is an important natural resource in Georgia, and timbering and replanting of an area can occur as often as every 15-30 years in an area, disturbing soils and buried resources. Nevertheless, Sam shows that the presence of recent timbering did not negatively affect the power of predictive modeling. He argues that predictive models are an important tool in the Cultural Resource Manager's toolkit for scoping, budgeting, and planning.

Following below is an archived profile.

Samuel earned his Bachelor of Science degree in Anthropology with a concentration in Archaeology from Kent State University in 2015. He has worked in the Cultural Resource Management industry for over five years as both a part-time field technician and full-time archaeologist/crew chief. Working across thirteen different states, he has completed over 300 CRM projects across the Midwest and Southern regions of the US.

Sam looks forward to broadening his knowledge of cultures, both past and present, as well as the CRM process. He hopes to complete his Master’s degree in order to achieve his goal of joining the RPA and becoming a Primary Investigator.