MUSICAL IMPROVISATION AND THE CREATIVE PROCESS

Musical improvisation combines technical proficiency and musical intuition. Due to its interactive nature, improvisation provides an avenue of communication among all art forms. This dissertation project explores the collaborative aspects of improvisation involving a musician, visual artist, a small group of dancers, and videographer. Video footage from two separate recording sessions provided hours of visual materials which were studied and edited. The first session was a live performance recorded in front of a studio audience. The second session was a two-day collaboration between musician and dancers in a studio space. The process of editing and compiling images with audio-an important element in this project-presented many unforeseeable challenges and lessons. This recorded dissertation is comprised of seven music videos that demonstrate my ability as an artist in collaboration with visual artist-professor Richard Klank, dancers David Yates, Jamie Garcia, Raha Behnam, Rachel Wolfe and Adrian Galvin, and video artist Nguyen Nguyen. Each video represents an individual creative process involving musical performance, studio lighting, sound recording, and video editing.

Developing Quantitative Methodologies for the Digital Humanities: A Case Study of 20th Century American Commentary on Russian Literature

Using scientific methods in the humanities is at the forefront of objective literary analysis. However, processing big data is particularly complex when the subject matter is qualitative rather than numerical. Large volumes of text require specialized tools to produce quantifiable data from ideas and sentiments. Our team researched the extent to which tools such as Weka and MALLET can test hypotheses about qualitative information. We examined the claim that literary commentary exists within political environments and used US periodical articles concerning Russian literature in the early twentieth century as a case study. These tools generated useful quantitative data that allowed us to run stepwise binary logistic regressions. These statistical tests allowed for time series experiments using sea change and emergency models of history, as well as classification experiments with regard to author characteristics, social issues, and sentiment expressed. Both types of experiments supported our claim with varying degrees, but more importantly served as a definitive demonstration that digitally enhanced quantitative forms of analysis can apply to qualitative data. Our findings set the foundation for further experiments in the emerging field of digital humanities.