With the central focus of making it easier for wind band conductors to find repertoire written by composers from underrepresented communities, this pilot study aimed to incorporate a ChatGPT widget within The Wind Repertory Project database, allowing it to quickly pull accurate information from the corresponding website, www.windrep.org. During this research, I created a custom GPT that is directly linked to The Wind Repertory Project database and am in progress of adding the before mentioned widget. This paper documents how I obtained the knowledge necessary to link ChatGPT with The Wind Repertory Project website as well as provides a brief history of artificial intelligence (AI) and the evolution of ChatGPT.

Should choreographing a dance routine be completely subjective or should it include some objective assessment? Dance is a performing art with the purpose of expressing an emotion or idea. In literature, dance is approached from solely the artistic side, using principles of art like movement, pattern, and rhythm. Art and science are often pinned against one another; art is considered subjective while science considered objective. Art tries to express knowledge while science aims to acquire knowledge. However, the two disciplines relate in their effort to understand the world. Although their intended audiences are contrasting, their goals are essentially the same. Considering this relation, my thesis will use both art and science to quantify elements of pom routines to create objective data to be used in the subjective choreography process. My project will look at the collegiate dance world and assess routines that have placed well at UDA College Dance Team National Championships. This research investigates how inclusion of certain elements adds value to the pom routines performed. I will then take what I have analyzed and gathered from extensive research on these successful routines and choreograph my own routine for my college dance team to compete in the 2020 UDA College Dance Team National Championship. With proper preparation and inclusion of the correct elements that were found in other winning routines, the Arizona State University Dance Team will place well and better than last year’s eighth place.