Browse Articles

The authors studied the bioethical values of Generation Z.

The authors looked at preferences of donors to donate between different animal-centered or humanitarian charities.

Researching gun violence and mass shootings in the U.S. is difficult due to the lack of consistent data collection. Some studies have linked mass shootings to personal financial stress, but little formal research exists on the impact of broader economic conditions. This study hypothesized an inverse relationship between mass shootings and economic performance, using the S&P 500 and unemployment rate as indicators.

This study explores the factors that influence coffee quality ratings using data from the Coffee Quality Institute. Through a regression model based on gradient descent, the authors aimed to predict coffee ratings (total cup points) and hypothesized that sweetness and the coffee producer would be the most influential factors.

Here the authors examined the relationship between education levels and the gender wage gap (GWG) in the US and Puerto Rico from 2010 to 2022, hypothesizing that higher education would correlate with a lower GWG. Their analysis of income data revealed an inverse correlation, where higher education levels were associated with reduced gender wage disparities, suggesting that policies aimed at closing the gender gap in higher education could promote socioeconomic equality.

The authors explored the effects of the Mount Laurel Doctrine on housing affordability, unemployment rate, and civilian labor force in Burlington County, New Jersey compared to nearby counties.

The authors assessed the degree of women participation in India's economy as a way to estimate woman's participation in India's economic growth.

The authors analyze differences in sports commentary between men's matches and women's matches during the 2023 US Open.

The authors explore factors affecting graduation rates of students learning English as a second language across Florida counties.

The authors use machine learning to develop an evidence-based detection tool for identifying human trafficking.