Assessing the Economic Impact of Wildfire on Building Losses in Texas
November 6, 2024 1:00 pm (Central Time)
Abstract
Join members of Team 5 from the 2024 I-GUIDE Summer School, "Leveraging AI for Environmental Sustainability" as they present their Summer School project work.
This project introduced a method for assessing the economic impacts of wildfire on building losses in Texas, using multiple machine learning models. The results showed that the gradient boost performs the best with a MSE of 0.185; R2 score of 0.847.
Speakers
Jinyi Cai
University of Iowa
Jinyi Cai is a Ph.D. student in GIS at the University of Iowa. My research interests are GeoAI, Geovisualization, environmental health and social vulnerability. My research aims to address social and environmental inequalities in responses to disasters and health crises. I am also interested in developing human-centric Geovisualization applications to enhance public health engagement and mitigate health disparities.
Zhenlei Song
Texa A&M University
Zhenlei Song is a PhD candidate and graduate student researcher with the Department of Geography at Texas A&M University.