CAREER: Generative Deep Learning for Post-Disaster Spatial Regeneration Planning — NSF Award to University of Florida (FL, $550,00
The objective of this Faculty Early Career Development Program (CAREER) project is to support research on how to integrate artificial intelligence (AI) into spatial planning methodologies and processes. This knowledge is particularly important to informing long-term disaster recovery. By exploring Generative deep learn
| Award title | CAREER: Generative Deep Learning for Post-Disaster Spatial Regeneration Planning |
|---|---|
| Award ID | 2440023 |
| Awardee | University of Florida |
| City | GAINESVILLE |
| State | FL |
| Amount obligated | $550,000 |
| Principal investigator | Yan Wang |
| Program | Human-Envi & Geographical Scis, HDBE-Humans, Disasters, and th |
| Start date | 08/15/2025 |
| Abstract | The objective of this Faculty Early Career Development Program (CAREER) project is to support research on how to integrate artificial intelligence (AI) into spatial planning methodologies and processes. This knowledge is particularly important to informing long-term disaster recovery. By exploring Generative deep learning (GenAI) based approaches, the project promotes economic vitality, housing affordability, and other planning objectives while ensuring their responsible use. The methodologies d |
| Source | NSF Awards |
$799/mo
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