This federal Project Grant award, provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to enhance disaster preparedness and response strategies by leveraging advances in language models to improve forecasting of socio-economic impacts. The $499,929 award to New York University (NYU) supports research on computational methods to analyze post-disaster mobility behavior, with the goal of developing a data governance platform that provides inclusive access to synthetic human behavior data. A sub-award to the Massachusetts Institute of Technology (MIT) focuses on creating advanced GPT models to predict individual and population mobility dynamics during disaster events, which will be integrated into the "Global Data Commons for Disaster Resilience" platform. This platform is intended to facilitate collaboration between policymakers, researchers, and community organizations, enabling data-driven decision-making for disaster preparedness and response.
Generated 2/25/25, 1:42 AM