Artificial Intelligence and Data for Climate Change and Natural Hazard Governance

The humanitarian and international development communities are increasingly interested in governance related to climate change. This includes risk modelling using data and Artificial Intelligence to improve preparedness and response to hazards. Artificial Intelligence is also key for improving monitoring, forecasting, and decision-making related to natural hazards and climate change exposure.Data-driven solutions are necessary to provide sufficient granularity to assess vulnerability, risk, and impact, enabling development actors to take action and make informed decisions. These tools are essential for mitigation, adaptation, and strengthening the resilience of cities and communities facing climate change.Anticipatory action and financial tools will increasingly rely on Artificial Intelligence to minimize the impacts of climate change and strengthen resilience. Artificial Intelligence can help analyze different scenarios related to climate change and natural hazards. Scenario-based planning is critical for early and more effective responses, covering several sectors ranging from education and the economy to health interventions.Increasing global and local resilience is essential for communities to recover from hazards. We expect that Artificial Intelligence will significantly transform how we prepare for and respond to climate change.Key topics include:• Anticipatory action• Early warning systems• Finance for resilience• Scenario-based planning• Impact analysis• Mitigation• Adaptation• Data visualization• Exposure• Vulnerability• Decision-making tools• Risk assessment• Humanitarian response• Disaster education• Artificial Intelligence• Data and high-resolution indicators• Satellite data• Remote sensing• Contingency planning Topic editors: David Pastor-Escuredo, Dohyung Kim Source: https://www.frontiersin.org/research-topics/79029/artificial-intelligence-and-data-for-climate-change-and-natural-hazard-governance