ARTIFICIAL INTELLIGENCE AIDING NATURAL DISASTER RESPONSE

Brief Project Information

The World Health Organization reports that more than 160 million people are affected by natural disasters annually. Estimates from the World Bank also suggest that 26 million people are forced below the poverty line annually due to natural disasters. Technological advancements with artificial intelligence (AI) aiding natural disasters may help countries with their response to such catastrophic ev


SDG

United States                
Published in 2020
More information about the project

Natural disasters have the potential to cause a major loss of income due to damage to infrastructure, crops, or a decrease in demand and tourism. This loss of income is more significant for those in the low-income category as they have fewer resources to begin the rebuilding process, potentially causing long-term poverty.AI is skilled at analyzing and tracking weather patterns to help predict the course and severity of natural disasters. Geophysicist Paul Johnson has assembled a team to use machine learning to predict these natural disasters. Machine learning uses technology to track data and identify similarities and patterns that occur prior to an earthquake. AI technology will then be able to analyze these characteristics to preemptively detect earthquakes.

Sustainability Review

0.0
Average Sustainability Index Average Sustainability Index
is calculated based on
editor rating and all crowd ratings.
Editor's comment for this project's sustainability

Rate this project's sustainability index and leave a comment

Do not exceed 500 characters.