Analyzing Spatiotemporal Changes and Socio-Environmental Impacts of the Homeless Population in a U.S. Border Region and Creating a Homeless and Health Equality Research Consortium
This project is funded by National Science Foundation: Build and Broaden (B2) Program. Funding#: 2417568, “Spatiotemporal Changes, Socio-Environmental Impacts, and the Homeless Population”: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2417568
This project addresses the issue of homelessness in a border region by developing advanced artificial intelligence (AI) and geospatial techniques to map and analyze the encampments of the unhoused. By integrating data from street view images, remote sensing imagery, and geographic information systems, the research identifies patterns of migration by unhoused populations over the past decade. The study focuses on understanding the socio-environmental factors that influence the distribution and migration patterns, with the ultimate goal of informing policy and interventions to improve community welfare and health. Additionally, this project creates the San Diego Homeless and Health EquAlity Research Team (SDHEART) consortium to promote collaboration among researchers, stakeholders, and the community through workshops, hackathons, and educational initiatives. This project aligns with NSF’s mission to promote the progress of science and advance national health, prosperity, and welfare by addressing a critical societal challenge and fostering STEM education and diversity.
The interdisciplinary research project leverage deep learning models and geospatial artificial intelligence (GeoAI) to detect and analyze the spatiotemporal patterns of encampments of unhoused persons. By integrating multiple data sources, including street views, remote sensing imagery, and GIS databases, the project will employ innovative GeoAI and Big Data Fusion methods to study migration patterns. The research aims to understand the socio-environmental determinants and impacts of homelessness on local neighborhoods through mapping, surveys, and interviews. The project also establishes the SDHEART consortium to facilitate sustainable research and policy development by hosting data hackathons, workshops, webinars, and an exhibition. This initiative enhances the research capacity at SDSU, contribute to computational social science, and provide educational opportunities for students in geography, sociology, urban studies, and related fields. The project’s outcomes will offer valuable insights into the dynamics of homelessness and serve as a model for similar research in other communities.
PI: Ming-Hsiang Tsou mtsou@sdsu.edu (Geography and HDMA Center)
• CoPI: Atsushi Nara anara@sdsu.edu (Geography and HDMA Center)
• CoPI: Xiaobai Liu xiaobai.liu@sdsu.edu (Computer Science)
• CoPI: Audrey Beck abeck@sdsu.edu (Sociology)
• CoPI: Gabriela Fernandez gfernandez2@sdsu.edu (Geography and HDMA Center)
Contact Information:
Principal Investigator: Dr. Ming-Hsiang Tsou, Email: mtsou@sdsu.edu
Mailing Address: Center for Human Dynamics in the Mobile Age, San Diego State University
5500 Campanile Drive, San Diego, CA 92182-4493