UGOD Seminar | Human-Environment Interaction in the Era of AI and Open Science

This talk focuses on human-environmental interaction, covering the research outcomes of 10+ multi-disciplinary projects led by Dr Wang. In the human side, Sisi’s work extensively utilized crowdsourcing human observation data (e.g., social media data and mobile signal data) and GeoAI techniques to quantify human behaviors in different geographic contexts – the public’s mental reaction to the pandemic and their options to COVID vaccination in Australia, US and 218 countries globally as well as people’s suicidal ideation in Japan. In the environmental side, Sisi’s team developed a tri-environmental (social, built and natural environment) conceptual framework and utilized Earth observation data (e.g., remote sensing imageries, open street maps, street view data) to quantify tri-environment and complex confounders involved in the human-environmental interaction. Her team, Spatial Data Lab, at the NSF Spatiotemporal Innovation Center developed 90+ open-access datasets in Harvard Dataverse with more than 2 million downloads, 70+ repeatable, reproducible and replicable (RRR) workflows with more than 6,000 downloads. She initiated the SDL internship/fellowship program, involving 100+ students in 20+ countries.