Social and Behavioral Sciences Commons^™

Data Ethics: An Investigation Of Data, Algorithms, And Practice, Gabrialla S. Cockerell

Honors Projects

This paper encompasses an examination of defective data collection, algorithms, and practices that continue to be cycled through society under the illusion that all information is processed uniformly, and technological innovation consistently parallels societal betterment. However, vulnerable communities, typically the impoverished and racially discriminated, get ensnared in these harmful cycles due to their disadvantages. Their hindrances are reflected in their information due to the interconnectedness of data, such as race being highly correlated to wealth, education, and location. However, their information continues to be analyzed with the same measures as populations who are not significantly affected by racial bias. Not …

Read This: A Content Analysis Framework For Book Recommendation Applications, Cypress S. Payne

Honors Projects

Book recommendation applications combine word-of-mouth recommendations with algorithms that can suggest books based on a user’s account activity, creating a robust system for finding new books to read. Current research on recommendation systems is purely quantitative, focusing on the efficacy of the system, and content analyses are only just beginning to be performed on mobile applications. I use previous content analyses on applications as a basis for creating a content analysis framework for book recommendation applications. This framework can be used to analyze what users find important in book recommendation apps and inform app creators about their users’ wants and …

An Exploratory Data Analysis On Covid-19 And Its Effects On Crime In New York City, Lanlie Nguyen

Honors Projects

The purpose of this study was to analyze the effects of the COVID-19 pandemic and how it has affected the crime rates present in New York City over the years of 2019 and 2020. There is limited criminal research that investigate the connection to pandemics, and how it can be used to reduce crime rates in similar situations. The goal of this study is to reduce crime rates and provide possible policy implications.

This project analyzes the crime rate trends present before and during the COVID-19 pandemic, and compares it to the number of COVID-19 cases. Analysis of the statewide …

Sustainability In Web Development Through Energy Efficiency, Hannah Bebinger

Honors Projects

As global internet usage expands, websites are growing in both size and complexity. Contrary to the common belief that the internet is immaterial and “environmentally friendly”, web pages have significant negative environmental impacts (Frick, 2015). Websites contribute to global greenhouse gas (GHG) emissions and electricity consumption. Considering the current climate crisis, it is crucial that web developers be aware of the impact that their work has on the environment and actively work to improve site energy efficiency. With a lack of regulation and awareness, the environmental impact of websites has remained unchecked despite growing concerns for sustainability. Further research and …

Analytical Study To Determine Significant Causes Of Increased No-Hitters In The 2021 Major League Baseball Season, Joel Robison

Honors Projects

Why were there so many no-hitters in the 2021 MLB season? This project focuses on possible significant causes to the record-breaking number of no-hitters pitched in the 2021 Major League Baseball season. Specifically, this project takes an analytical look at the recent trends in launch angles and spin rates to determine if there are any significant causes to the increased number of no-hitters in baseball. The random nature and unpredictability of the game of baseball make it almost impossible to come to any solid conclusions.