Socioeconomic Factor

Socioeconomic factors are increasingly recognized as crucial determinants influencing diverse outcomes, from crime rates and financial success to healthcare disparities and the resilience of infrastructure during natural disasters. Current research employs machine learning techniques, including random forests, linear regression, and deep learning models (like LSTMs and GRUs), to analyze the complex relationships between socioeconomic indicators (income, education, employment, etc.) and these outcomes. These studies highlight significant disparities across socioeconomic groups, informing policy decisions aimed at resource allocation, promoting social equity, and improving overall societal well-being. The findings underscore the need for inclusive AI development and data collection to accurately reflect the experiences of all populations.