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- Member of: Barrett, The Honors College Thesis/Creative Project Collection
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Description
2 and a half years ago a group of ASU men heard the startling statistic that 1 in 4 women will experience completed or attempted sexual assault by the time they graduate college. This fact along with their experience of seeing how women are treated at ASU prompted them to create a culture where men respect women. Shortly after, a group of women noticed the impact these men were having on the campus and formed the club WoW Factor to come alongside Man Up. In 2013 both clubs came together to form The Respect Movement to combat the issue of sexual assault by building a culture of respect between men and women. The issue of sexual assault is not unique to just ASU. This is an epidemic on campuses all across the nation affecting thousands of lives in a very destructive way. I truly believe that the issue of sexual assault is this generation's civil rights issue, but I am excited because the solution has started right here at ASU. The Respect Movement is not trying to address every symptom of the culture of disrespect. We boiled down the culture of disrespect to arguably the most tangible and visible symptom which is the epidemic of sexual assault on our campus. Our response is to create a safe place, which is a culture of respect on how men and women relate, and it is based on timeless transcendent truths and core values. The problem of sexual assault exists because there is a culture of disrespect; it is between how men and women relate, and that's fed by what men believe about themselves and women, and what women believe about themselves and men. Very few cultural messages are saying that a man is someone who takes responsibility, rejects passivity, leads courageously, and initiates respect - which we define respect as putting others needs above our own. If we can get men believing different about who they are and what they value, their attitudes will change, followed by behavior - meanwhile they have people walking this out next to them modeling the right behavior ultimately experiencing real character change. It is also counter cultural to say that a woman is someone who takes responsibility, rejects devaluing messages, declares the worth of others, and influences through respect. If men and women are both going after those things, they will build healthy relationships and the issue of sexual assault will start to chip away. It has to be both going towards core values that challenge and change character. Because if positive character change happens we will see positive culture change. Our main goal is to build a culture of respect and end sexual assault. But you can't build a culture without leaders. Yes, this movement is seeking relationship with every student, but in order to change the culture and prevent crisis from happening, we have to not only build a hospital at the bottom, but a fence at the top. How we do that is by investing our mentorship into what we have identified as the leaders on both the High School and College campuses. That is, athletes on the high school campuses and Greek life on college campuses. We seek to train leaders to become relational mentors through life on life mentorship and modeling of the right behavior based on core values.
ContributorsMaenner, Justin Alan (Author) / Koretz, Lora (Thesis director) / Smith, Sr. (Committee member) / Novicky, Colton (Committee member) / Barrett, The Honors College (Contributor) / School of Arts, Media and Engineering (Contributor)
Created2015-05
Description
Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have been scrutinized recently for their imperfect royalty distribution model. Covid-19 has made these discussions even more relevant as touring income has come to a halt for musicians and the live entertainment industry. <br/>Under the current per-stream model, it is becoming exceedingly hard for artists to make a living off of streams. This forces artists to tour heavily as well as cut corners to create what is essentially “disposable art”. Rapidly releasing multiple projects a year has become the norm for many modern artists. This paper will examine the licensing framework, royalty payout issues, and propose a solution.
ContributorsKoudssi, Zakaria Corley (Author) / Sadusky, Brian (Thesis director) / Koretz, Lora (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library, he/she would have to hand pick songs that fit the mold and create a new playlist. This is a time consuming process that may not produce the most efficient result due to human error. The objective of this project, therefore, was to develop an application to streamline this process, optimize efficiency, and fill this user need.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
ContributorsDiMuro, Louis (Author) / Balasooriya, Janaka (Thesis director) / Chen, Yinong (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05