FINDING PATTERNS IN COMPLEX SYSTEMS AT THE SCIENCE-SOCIETY INTERFACE: A MULTIDISCIPLINARY STUDY

Abstract

This dissertation offers a comprehensive overview of how complex interactions between environmental, social, and individual factors shape patterns in diverse systems at the science- society interface. The first study explores the spatial- temporal distribution of Aedes japonicus in Rhode Island, identifying urban areas as significant habitats influenced by climatic factors and socioeconomic factors. This work employs machine learning techniques to identify the critical variables affecting mosquito abundance, offering insights into mosquito management for enhanced public health. The second study investigates the spatiotemporal dynamics of dengue in South Asia, emphasizing the roles of urbanization, climatic factors, and water insecurity in disease proliferation. By analyzing the interaction between these elements, the research advocates for integrated early warning systems and community education to mitigate dengue outbreaks. Lastly, the dissertation examines the academic experiences of Saudi female students in the U.S., revealing a strong link between a sense of belonging and academic success. Together, these studies underscore the necessity of multidisciplinary approaches in addressing complex world challenges at the intersection of science and society.