Paper #244
Education and training for data-driven water management: A bibliometric analysis in the context of SDG 6
Presenting author: Mahmoud Elgendi
Session: I14
Abstract
This study examines the evolution of research on education and training for data-driven water management in the context of Sustainable Development Goal 6 (SDG 6). This study presents a bibliometric analysis of research on education, training, water management, data analytics, artificial intelligence, big data, and data-driven approaches for 2019–2025. A total of 388 documents were obtained from the Scopus database with an emphasis on SDG 6. The dataset obtained was analyzed using Biblioshiny, the web interface for the bibliometrix R package. The findings showed an annual growth rate of 52.62%, which is notably high, signaling that this research field is expanding very rapidly. The growth of publications demonstrated a clear and upward trajectory. Publications after 2023 surged, peaking at 139 in 2026, representing a strong acceleration.