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This paper discusses the levels of job satisfaction amongst practicing lawyers, with a distinction between government-employed lawyers (public) and those in the private sector. The purpose of this report is to provide insight into the joys and sorrows of practicing law and provide those who are curious about becoming a

This paper discusses the levels of job satisfaction amongst practicing lawyers, with a distinction between government-employed lawyers (public) and those in the private sector. The purpose of this report is to provide insight into the joys and sorrows of practicing law and provide those who are curious about becoming a lawyer with the tools to be the happiest lawyer that they can be throughout their career. The paper includes analysis of a primary research survey, comparisons with existing research, and a brief overview of happiness based research. It concludes with personal applications of the knowledge gained. Findings of the project conclude that publicly employed lawyers are, on average, slightly happier than lawyers in the private sector. On a scale from 1-7 public lawyers held an average happiness rating of 6.8, while private lawyers came in at a 6.06. Both factions were found to be satisfied in their work, which can dispel the myth that lawyers in general are unhappy with their job or field. Research into happiness shows that only 40% of an individual's overall happiness can be directly affected by their mindset and actins. The other 60% is comprised of genetic and circumstantial factors. Steps and advice to increase happiness derived from a profession or life are offered. The key to finding satisfaction in the workplace lies in aligning one's strengths with one's values. This paper concludes by imploring those who seek a job in the legal field to spend time understanding what their values are, and pursuing satisfaction in the workplace instead of prestige or pay.
ContributorsGattenio, Scott Robert (Author) / Koretz, Lora (Thesis director) / Dietrich, John (Committee member) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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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

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

The sudden turn to artificial intelligence has been widely supported because of the several proposed positive outcomes of using such technologies to support or replace humans. Automating tedious processes and removing potential human error is exciting for society, but some concerns must be addressed. This essay aims to understand how

The sudden turn to artificial intelligence has been widely supported because of the several proposed positive outcomes of using such technologies to support or replace humans. Automating tedious processes and removing potential human error is exciting for society, but some concerns must be addressed. This essay aims to understand how artificial intelligence can automate domains that likely significantly impact underprivileged and underrepresented groups. This essay will address the potentially devastating effects of algorithmic biases and AI’s contribution to perpetual economic inequality by surveying different domains, such as the justice system and the real estate industry. Without society broadly understanding the potential negative side effects on systems that matter, the rapid growth of artificial intelligence is a recipe for disaster. Everyone must become educated about AI’s current and potential implications before it is too late to stop its damaging effects.

ContributorsTerhune, Alexandra (Author) / Pofahl, Geoffrey (Thesis director) / Koretz, Lora (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
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It is interesting to reflect that the American legal system has not seriously applied any significant technological advances in many decades. It is fascinating that the same processes used to draft a will or estate plan are virtually the same as they were in the 1960’s. This seems to be

It is interesting to reflect that the American legal system has not seriously applied any significant technological advances in many decades. It is fascinating that the same processes used to draft a will or estate plan are virtually the same as they were in the 1960’s. This seems to be a problem that should be concerning in this modern age. We would be hard pressed to observe doctors in the U.S. currently performing medical procedures as they would have in 1960 considering the technological advancements that have taken place in society since then. Many of the processes in the legal system are extremely static and even archaic. It seems to be an opportune time to revolutionize the whole system as advancements continue; but, this revolution must take into account both the positive and negative repercussions that are possible moving forward.
ContributorsWilladson, Conor Calista Carolena (Author) / Koretz, Lora (Thesis director) / Forst, Bradley (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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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,

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.
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
Description
The 2023 SAG-AFTRA strike signifies a pivotal moment in the entertainment industry's evolution. This paper explores the historical context of labor disputes, the transition from network television to streaming, and the key issues of the strike, including residual payments and AI-generated scripts. The strike's economic implications, production delays, shareholder perspectives,

The 2023 SAG-AFTRA strike signifies a pivotal moment in the entertainment industry's evolution. This paper explores the historical context of labor disputes, the transition from network television to streaming, and the key issues of the strike, including residual payments and AI-generated scripts. The strike's economic implications, production delays, shareholder perspectives, and public sentiment are analyzed, revealing potential industry-transforming consequences. The stark differences between SAG-AFTRA's demands and the Alliance of Motion Picture and Television Producers (AMPTP) offers are examined. The paper concludes with recommendations for fair compensation and creative control, considering the 10-year impact of AI and alternative approaches, emphasizing the need for industry recognition of the contributions of writers and actors in the ever-changing entertainment landscape.
ContributorsLewis, Madison (Author) / Koretz, Lora (Thesis director) / Moore, James (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-12