Heroy Hall 429
Ian researches village aggregation and disaggregation in the Prohistoric Puebloan world, specifically at Ancestral Tewa villages in Northern New Mexico. Ian develops and utilizes computational techniques, including GIS least cost path analyses, Bayesian modeling, and social network analyses, to model the push and pull factors that are relevant for understanding changes in village settlement patterns over time. In addition to his dissertation research, Ian is collaborating on projects examining learning differences between hunting technologies, modeling water acquisition costs in the prehistoric Jemez Mountains, and developing Bayesian calibrations of large sets of radiocarbon dates.
Entered program in 2012
Region of Study:
American Southwest, Northern New Mexico
Honors and Awards:
Dean's Award, SMU Research Day 2017
Breslawski, Ryan P., Bonnie L. Etter, Ian Jorgeson, and Matthew T. Boulanger. The Atlatl to Bow Transition: What can We Learn from Modern Recreational Competitions? Manuscript in review, Lithic Technology.
Jorgeson, Ian. A Python Script to Automate Generation of Pairwise Least Cost Analyses. Manuscript in preparation.