ExpAI2ES

Expand AI2ES for 4D space-time organization of precipitation processes and extremes, visualization tools, and workforce development.

Investigators

PI: Samuel Shen
Co-PI: Efi Foufoula-Georgiou, University of California Irvine
Co-PI: Amy McGovern, University of Oklahoma

Award Amount

$2,731,316.00 from September 1, 2023 to August 31, 2027

Artificial Intelligence • Risk Communication • Environmental Science logo

ExpAI2ES adds San Diego State University (SDSU) and the University of California - Irvine (UCI) to the NSF AI institute AI2ES (“AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography”) 
 
 
 

Abstract

The ExpAI2ES project is a partnership with the AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography to expand research, educational activities, and workforce development in AI basic research and AI applications to Environmental Science (AI2ES) in two Hispanic-Serving Institutions (HSI).

The research focus of ExpAI2ES is on AI modeling of the space-time organization and multiscale structure of precipitation and other atmospheric variables, with special emphasis on extremes and uncertainty quantification.

The research will also develop 4-dimensional data visualization tools, such as the 4-dimensional visual delivery (4DVD) software, that can support a wider application of progressive education pedagogy for atmospheric sciences and AI. These research and educational advances are necessary to effectively address imminent challenges in climate change, environmental sustainability, and the costly weather extremes and hazards, while engaging a diverse and untapped pool of talent.

AI Research and Education Collaboration chart
The conceptual diagram of collaboration and integration for ExpAI2ES.



The Progressive Education for Atmospheric Science (PEAS) framework to be established in this project will help develop new course material and improve the educational offerings of AI courses for relevant institutions.

Our PEAS+AI educational framework will be further extended to the training of school teachers who together with students can use the proposed 4DVD technology for climate data visualization and discovery. The engagement with real environmental data combined with the modern video-based 4DVD AI tools will inspire students towards STEM careers to work on the pressing problems of climate science and environmental sustainability.  

Related Links

NSF AI2ES

NSF