Building an African water observatory from open data and AI

Pita 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)

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.

• Jezik: Angleški jezik
• Ključne besede: open data, artificial intelligence, extreme events, water sustainability
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.09 - Objavljeni strokovni prispevek na konferenci
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: 1 spletni vir (6 str.)
• PID: 20.500.12556/RUL-181115
• UDK: 004.8:556(6)
• ISSN pri članku: Y509-8335
• DOI: 10.5281/zenodo.14900574
• COBISS.SI-ID: 272980483
• Datum objave v RUL: 25.03.2026

Gradivo je del revije

• Naslov: Zenodo
• Založnik: CERN
• COBISS.SI-ID: 42074883

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: odprti podatki, umetna inteligenca, ekstremni dogodki, trajnostnost voda

Projekti

• Financer: EC - European Commission
• Številka projekta: 820985
• Naslov: A holistic water ecosystem for digitisation of urban water sector
• Akronim: NAIADES

• Financer: EC - European Commission
• Številka projekta: 101120237
• Naslov: European Lighthouse of AI for Sustainability
• Akronim: ELIAS