Data Analytics in Digital Humanities
Editor: Dr. Shalin Hai-Jew, Kansas State University, haijes@gmail.com (and 1-785-532-5262)
Publisher: Springer Science + Business Media
Theme: Of late, the “digital humanities” have come to the fore with researchers, academics, and students using digital means to advance their humanities work. These efforts include endeavors to:
- annotate, present, and share raw data and digitized artifacts and processed information through Web-facing digital archives and databases;
- model human experiences digitally through virtual spaces and games;
- collect and analyze data from heterogeneous sources;
- code data;
- query the data and information (manually and computationally);
- extract models;
- pose questions;
- challenge cultural and historical understandings;
- reconfigure current constructs / challenge power and privilege, and
- broaden ways to knowing and being.
This text will focus on a range of technology tools and methods used for research and data analytics in the digital humanities, with particular focuses on local domain-specific applied theories, techniques, and approaches, as well as more global methods.
Joelle Pitts
Assistant Professor | Instructional Design Librarian
203 Hale Library | Kansas State University Manhattan, KS 66506
