Dr. Nathan Loewen
Our project applies data mining methods developed in the computer sciences and digital humanities to large datasets from leading journals of the past 100 years in religious studies, philosophy of religion, and philosophy. The project uses computational methods to side-step some of the human limits in resources that prevent timely progress when working with a collection of this size.
The project aim is not merely to test orthodox accounts of topical emphases in philosophy of religion, but to test those results with comparison corpora from philosophy and religious studies journals. The useful purpose of the project is that data mining outcomes may be employed to propose new topics by pointing to specific documents in adjacent fields of inquiry.