10^th World Climate Change and Global Warming Congress

Climate Data Science, AI & Digital Earth Technologies

Climate Data Science and Artificial Intelligence (AI) have become core drivers of modern climate research, enabling scientists to process massive datasets, detect long-term climate trends, and produce accurate predictive models. Through machine learning algorithms, researchers can simulate future climate conditions, identify warming hotspots, and evaluate the potential impacts of global environmental policies. These advanced digital tools provide a level of precision and forecasting capability that traditional climate models alone cannot achieve. AI-powered satellite imagery, remote sensing tools, and global digital earth platforms allow for real-time monitoring of environmental changes. From glacier retreat to ocean temperature shifts, these technologies give policymakers and scientists immediate access to the data needed for rapid decision-making. Innovations in geospatial analysis also help track deforestation, carbon emissions, biodiversity loss, and urban heat islands—offering actionable insights for climate intervention strategies. As digital technologies become more sophisticated, they are reshaping the foundations of climate action planning and sustainability management.