Building an African water observatory from open data and AIPita Costa, João (Avtor) Zaouini, Mustafa (Avtor) Črnko, Mihajela (Avtor) Polzer, Mirozlav (Avtor) Corzo Perez, Gerald A. (Avtor) Mikoš, Matjaž (Avtor) Orlič, Davor (Avtor) Jermol, Mitja (Avtor) open dataartificial intelligenceextreme eventswater sustainabilityEffective decision-making in water resource management is crucial for addressing the sustainability challenges exacerbated by climate change. This paper introduces an AI-driven observatory that integrates diverse data sources, including news outlets, social media, academic research, and statistical analyses, to enhance the decision-making capabilities of water resource managers and policymakers in North Africa. The observatory leverages advanced data visualization tools to provide in-depth analyses of water-related events such as floods, droughts, and contamination incidents. By drawing on real-time data from a variety of platforms, the system not only informs resource management and policy development but also plays a vital role in educating the public and preparing the youth for AI challenges. The focus of this paper is particularly on the Maghreb region, where the increasing frequency of extreme weather events due to climate change underscores the need for innovative approaches to water sustainability. We discuss the specific application of this observatory in promoting water reuse practices in the region, highlighting its potential to mitigate the impacts of such climatic extremes.20242026-03-25 13:02:08Članek v reviji181115sl