Shalin Hai-Jew

Shalin Hai-Jew works as an instructional designer for Kansas State University. She has B.A.s in English and psychology, an M.A. in English (from the University of Washington, which she entered at 15) and an Ed.D. in Educational Leadership (from Seattle University in 2005, where she was a Morford Scholar). She taught at universities in the People's Republic of China from 1988 - 1990 and 1992 - 1994, the latter two years through the United Nations Volunteer Programme of the UNDP. She worked as a faculty fellow for The Boeing Company for two consecutive summers on distance learning trainings. She was a tenured faculty member at Shoreline Community College. She has taught at the university and college levels for many years. She was born in Huntsville, Alabama, in the U.S. Currently, she reviews for Educause Review (ER) and a number of publishing companies. An edited book is forthcoming from Springer in early 2017: "Data Analytics in Digital Humanities." She is working on an authored text titled "Techniques for Coding Imagery and Multimedia: Emerging Research and Opportunities." She is also editing a text titled "Selfies as a Mode of Social Media and Work Space Research" (http://www.igi-global.com/publish/call-for-papers/call-details/2161) and "Methods for Analyzing and Leveraging Online Learning Data" (http://www.igi-global.com/publish/call-for-papers/call-details/2515) with IGI-Global. She has slideshows from recent conferences in SlideShare and ScholarSpace (of Johnson County Community College). She has several open-source e-books on the Scalar platform (related to NodeXL, NVivo, and academic peer review, respectively). She also co-edits the C2C Digital Magazine (hosted on the Scalar platform), with Colleague 2 Colleague, a non-profit professional organization.

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks. Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.