Invention:
HeatSmart AI leverages artificial intelligence and machine learning to predict extreme heat risks in urban environments. In times of extreme heat, people living in cities are the most heavily impacted, as urban areas tend to be hotter than surrounding non-urban areas. These impacts can be incredibly dangerous, as heat is the number one weather-related killer in the United States. HeatSmart uses advanced predictive analytics on diverse datasets to analyze and predict urban heat risks, which can allow for advanced warning and time to implement cooling measures to protect city residents and enhance urban heat resilience.
Background:
The rate of global warming since 1982 is approximately three times as fast as the rate from 1850 to the present, and record-high temperatures are being recorded across the globe, with 2023 being the warmest year since global records began in 1850. The impacts of rising temperatures are felt much more strongly in urban environments due to the urban heat island effect, which is a phenomenon in which cities experience significantly higher temperatures than their surrounding suburban and rural areas.
Applications:
- Urban heat resilience
- Urban planning
- Sustainability
Advantages:
- Novel platform
- Diverse datasets
- Advanced predictive analytics
- Focus on community engagement
