Film and Media Studies Commons^™

From Here To The Ground, Courtney Mccracken

Masters Theses

Art, for me, is a thinking process. It is also a process of connection to body and place. It directs my fractured attention toward the things I care about. As I labor through process, I am gifted with a moment of attentiveness. In a time where everything feels urgent, and our perspective can be warped by the endless flood of information, making art is a chance to stop, to think, and to feel.

It is a space for holding, and a space for being held.

Recently, I have been working primarily in animation and sound design, experimenting widely across media …

War Of The Moon, Bibiana Medkova

Masters Theses

Space, in the post-World War context, was the new frontier of ‘global’ dominion. Space Race of the 1950s was a competition to signal technological capability and military strength. The objective of War of the Moon is to unpack the motivation for Moon race in 1950s. What did countries have to gain politically, economically, socially and technologically by conquering space and landing on the moon. At what cost? Who financed it, and where did the labor, land, and raw materials sourced come from. And how it was used to accomplish said landing. Space security is a massive aspect of all current …

Recipe For Disaster, Zac Travis

MFA Thesis Exhibit Catalogs

Today’s rapid advances in algorithmic processes are creating and generating predictions through common applications, including speech recognition, natural language (text) generation, search engine prediction, social media personalization, and product recommendations. These algorithmic processes rapidly sort through streams of computational calculations and personal digital footprints to predict, make decisions, translate, and attempt to mimic human cognitive function as closely as possible. This is known as machine learning.

The project Recipe for Disaster was developed by exploring automation in technology, specifically through the use of machine learning and recurrent neural networks. These algorithmic models feed on large amounts of data as a …