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Solar Flare Dancesport Challenge (Innovating Upon the Ballroom Dance Competition Format to Optimize Competitive and Cooperative Elements)

Description
Ballroom dancing, similar to many other forms of dance, art, and expression, has a nature built upon desire to better oneself, to express oneself, and to relate to the audience. While this sits at the core of the artform, there is another element integral to it: competition. Ballroom competitions contribute…

Ballroom dancing, similar to many other forms of dance, art, and expression, has a nature built upon desire to better oneself, to express oneself, and to relate to the audience. While this sits at the core of the artform, there is another element integral to it: competition. Ballroom competitions contribute significantly to the culture of ballroom dancing itself, often conflicting with or undermining its cooperative elements. The question, thus remains, of what the optimal ballroom competition looks like in order to promote the community aspects without compromising the importance of competition to the dancers. This thesis seeks to identify and execute this optimization, culminating in a ballroom competition and a guide detailing every aspect of the competition that was designed to accomplish this goal.
ContributorsLopez, Sylvia (Author) / Perry, James (Co-author) / Olarte, David (Thesis director) / Daniells, Julianne (Committee member) / Malone, James (Committee member) / Barrett, The Honors College (Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Human Systems Engineering (Contributor)
Created2024-05
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Analyzation of Hot Spot Policing Strategies Among Different Sized Departments

Description

Community-based policing and proactive policing are at the forefront of America’s efforts to improve policing. Research shows that data-driven policing, such as focusing efforts on crime hot spots, reduces crime not only in a certain area but in the overall community as well. However, each department may implement data-driven policing…

Community-based policing and proactive policing are at the forefront of America’s efforts to improve policing. Research shows that data-driven policing, such as focusing efforts on crime hot spots, reduces crime not only in a certain area but in the overall community as well. However, each department may implement data-driven policing differently depending on the unique features of the department. To examine this, interviews and observations were conducted of the Arizona State University Police Department and the Scottsdale Police Department. The results suggest that university police and municipality police have different methods, strategies, and information flow when recognizing and responding to hot spots. On this basis, police departments should develop a plan tailored to their community. Further research is needed to determine how police departments can respond to hot spots using specific community traits.
ContributorsWilson, Alex (Author) / Telep, Cody (Thesis director) / Gallagher, James (Committee member) / Barrett, The Honors College (Contributor) / School of Criminology and Criminal Justice (Contributor) / Human Systems Engineering (Contributor)
Created2021-12