Analyzing Socioeconomic Impacts of Extreme Events
Analyzing Socioeconomic Impacts of Extreme Events
We analyze the socioeconomic impacts of extreme events in collaboration with stakeholders, with a focus on infrastructure interdependencies and equitable solutions. By understanding these interdependencies and identifying vulnerable communities, we aim to enhance the effectiveness of policy interventions and improve resilience across various cities.
Selected Publications
M. Benetti, N. Law, J. Li, Y. Miura. (2025). [DOI]
This project creates an immersive virtual lab for exploring the impacts of extreme rainfall and storm surge events on Manhattan, NY. By combining advanced flood modeling with interactive 3D visualizations, users can observe how urban flooding might unfold under a range of scenarios, including those influenced by climate change.
Z. Ma, L. Li, J. Li, W. Hua, Q. Feng, and Y. Miura*. (2025). Under Review.
We introduce a 3M (Multimodal, Multilingual, Multidimensional) pipeline that uses multimodal large language models (MLLMs) to assess disaster impacts from social media. Evaluated across major earthquake events in two countries, our approach integrates image and text data to provide timely, fine-grained damage assessments that correlate with seismic ground truth, highlighting the potential of MLLMs for real-time crisis response.
N. Law and Y. Miura. (2025). Under Review. [DOI] [GitHub]
We present RoofNet, the first geographically diverse dataset for global roof material classification. With over 51,500 EO image-text pairs from 184 sites and 112 countries, RoofNet enables scalable, AI-driven risk assessment of building vulnerability to natural hazards. Fine-tuned with a vision-language model (VLM) using expert annotations and prompt tuning, it supports downstream tasks in disaster preparedness, insurance, and infrastructure resilience.
Y. Miura*, K.T. Mandli, H. Lazrus, R. Morss. (2024). Under Review.
