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As I researched and conducted initial analysis for this project, I quickly ran into a few roadblocks that lead to me needing to pivot off of certain ideas and adapt my initial plans to fit what was actually being done in the current marketing environment. In reality, most businesses are not up for taking the risk of explicitly giving real metrics of their products and services to customers. Due to this, my thesis evolved into finding other ways that companies would use logical appeals to represent their products and comparatively analyze how these companies choose to represent themselves on a social media platform.
Link to documentary on YouTube https://www.youtube.com/watch?v=v1JfwZc31Bk
This thesis intends to show that the diversity of algorithmic choreography can be reduced into more specific categories. As algorithmic choreography is fundamentally intertwined with the concept of computation, it is natural to propose that algorithmic choreography works be separated based on a spectrum that is defined by the extent of the involvement of computation within each piece.
This thesis seeks to specifically outline three primary categories that algorithmic works can fall into: pieces that involve minimal computational influence, entirely computationally generated pieces, and pieces that lie in between. Three original works were created to reflect each of these categories. These works provide examples of the various methods by which computation can influence and enhance choreography.
The first piece, entitled Rαinwater, displays a minimal amount of computational influence. The use of space in the piece was limited to random, computationally generated paths. The dancers extracted a narrative element from the random paths. This iteration resulted in a piece that explores the dancers’ emotional interaction within the context of a rainy environment. The second piece, entitled Mymec, utilizes an intermediary amount of computation. The piece sees a dancer interact with a projected display of an Ant Colony Optimization (ACO) algorithm. The dancer is to take direct inspiration from the movement of the virtual ants and embody the visualization of the algorithm. The final piece, entitled nSkeleton, exhibited maximal computational influence. Kinect position data was manipulated using iterative methods from computational mathematics to create computer-generated movement to be performed by a dancer on-stage.
Each original piece was originally intended to be presented to the public as part of an evening-length show. However, due to the rise of the COVID-19 pandemic caused by the novel coronavirus, all public campus events have been canceled and the government has recommended that gatherings with more than 10 people be entirely avoided. Thus, the pieces will instead be presented in the form of a video published online. This video will encompass information about the creation of each piece as well as clips of choreography.
The purpose of this paper is to make the beyond a reasonable doubt standard in criminal trials more comprehensible for the modern juror while also increasing the modern juror’s motivation and ability to apply this standard consistent with trial proceedings. The major problems addressed include why the beyond a reasonable doubt standard is so difficult for modern jurors to understand in addition to why modern jurors lack both the motivation and ability to perform their integral function in criminal trials due to their enforced passive role. This paper traces the origins of the modern jury, delving into the centuries-long transition of the jury from an active to passive function, and the impacts historical change has had on the modern juror’s role in criminal trials. It also looks to define the beyond a reasonable doubt standard in terms of case law and pattern jury instructions and through contrast with its constituent lower civil standards of evidentiary certainty. The solution posed to remedy the aforementioned issues rests on a unique application of metaphor and imagery that can be implemented in lawyers’ rhetorical methods to instruct jurors on their paramount function in modern criminal suits.