The authors examine the link between climate change and migration, using data mining to identify key environmental and socioeconomic drivers. Findings show that water scarcity and prolonged droughts are major factors behind displacement, with predictive models accurately forecasting migration flows. The study highlights the need for data-driven policies and proactive climate adaptation, urging future research to incorporate real-time monitoring and geospatial AI for improved forecasting.
Examining the Effective Role of Artificial Intelligence in the Interconnected Crisis of Climate Change and Human Migration

Author(s)
F.Aysin Anka, Fahri Erenel and Farzad Kiani
Publication Date
5 February 2025
Publisher
Journal of Information Systems Engineering and Management
DOI / URL

Resource Type
Academic Journal Article
Systems Addressed
Climate
Resource Theme
Learning resource