20.500.12556/RUL-181115 Building an African water observatory from open data and AI Effective 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. open data artificial intelligence extreme events water sustainability odprti podatki umetna inteligenca ekstremni dogodki trajnostnost voda true false true Angleški jezik Slovenski jezik Članek v reviji 2026-03-25 13:02:08 2026-03-25 13:02:15 2026-03-26 04:21:50 0000-00-00 00:00:00 2024 0 0 1 spletni vir (6 str.) 11. Jun. 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:556(6) Y509-8335 10.5281/zenodo.14900574 272980483 Pita_Costa...-Building_an_African_Water_Observatory_from_Open_Data_and_AI.pdf Pita_Costa...-Building_an_African_Water_Observatory_from_Open_Data_and_AI.pdf 1 513E91CBFC4D3813E97BCE8F6859DC31 22c0e2d86cc1abc201181f2a7ab04115875523f468471fa521957fde09f07211 77982a8f-2842-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=231298 https://zenodo.org/records/14900575 1 57bba3ff-2842-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=231297 Fakulteta za gradbeništvo in geodezijo 0 0 0