Mustafa Zaouini, Joao Pita Costa, Manal Cherkaoui, Hanaa Hachimi, M. Wahib Abkari, Kamal Gourari, Hatim Lachheb and Jad Tounsi El Azzoiani

ABSTRACT
The topic of water sustainability has been leading the priorities
worldwide where Artificial Intelligence (AI) can position
research institutions, public & private companies and
governments towards evidence-based decision-making in
regards to water resources. In this particular domain, the
amount and heterogeneity of data generated allied to the rapid
progress of scientific research and technological development
have created vast amounts of data, but significant challenges to
gathering, filtering, and making sense of this information. This
paper presents the research outcomes of collaborative effort
engaging a total 51 students mentored by 15 professors across
11 research institutions in North Africa, distributed by 14
projects focusing the appropriate application of machine
learning methods to local and national water sustainability
problems. These outcomes were motivated by a youth
challenge co-organized between AI Africa and IRCAI between
April 25th and May 31st, with the support of GITEX, UNESCO, the
AI Movement, the Water Education Institute IHE Delft.