Disadvantaged Individual

Research on disadvantaged individuals focuses on understanding and addressing systemic inequalities across various sectors, including education, access to resources, and environmental justice. Current studies employ machine learning techniques, such as natural language processing and classification models, to analyze large datasets (e.g., census data, social media posts) and identify factors contributing to disparities, often revealing biases in existing systems and highlighting the disproportionate impact on specific demographic groups. This work is crucial for developing targeted interventions and equitable resource allocation, ultimately aiming to improve social equity and reduce the impact of socioeconomic disadvantages.