Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
The influx of readily available sports data has transformed the landscape of recruitment analysis conducted in European soccer leagues. Clubs now have access to a repository of information that helps to monitor the status of current players and filter those they wish to recruit. Supplemented by extensive financial backing, the teams in the English Premier League have shifted from a local, more traditional approach to a focus on the acquisition of players in international markets. This paper analyzes the rapid effects of implementing a data-driven approach to recruitment and argues that the dominance of Liverpool in the EPL from 2017 to 2022 has stemmed from a superior focus in this data-driven recruitment compared to other clubs in the league, specifically Manchester United. Other teams have recently shifted their structures to model the modern, fast flow of data that the two European super clubs manage each season yet consistently fail to match either. Furthermore, this project establishes the feasible prospect of clubs prioritizing their staffing for data over other departments, including players.
The influx of readily available sports data has transformed the landscape of recruitment analysis conducted in European soccer leagues. Clubs now have access to a repository of information that helps to monitor the status of current players and filter those they wish to recruit. Supplemented by extensive financial backing, the teams in the English Premier League have shifted from a local, more traditional approach to a focus on the acquisition of players in international markets. This paper analyzes the rapid effects of implementing a data-driven approach to recruitment and argues that the dominance of Liverpool in the EPL from 2017 to 2022 has stemmed from a superior focus in this data-driven recruitment compared to other clubs in the league, specifically Manchester United. Other teams have recently shifted their structures to model the modern, fast flow of data that the two European super clubs manage each season yet consistently fail to match either. Furthermore, this project establishes the feasible prospect of clubs prioritizing their staffing for data over other departments, including players.