The French National Research Agency (ANR), in co-financing with the French Development Agency (AFD), has organised a scientific challenge with the aim of responding to the challenges of marine biodiversity using artificial intelligence (AI). What prediction models should be developed and how can better indicators be developed to predict and assess the evolution of biodiversity under the constraints of climate change and/or anthropogenic activities?
The AIME project (Artificial Intelligence for Marine Ecosystems), funded by Expertise France, is one of the three selected projects. It is led by a Franco-African consortium: Cadi Ayyad University (Morocco), the University of Yaoundé (Cameroon), the Laboratoire d’imagerie médicale et bio-informatique and the Université Gaston Berger de Saint-Louis (Senegal), the UMR Écologie marine tropicale dans les océans Pacifique et Indien (New Caledonia, France), the Institut de recherche pour le développement (France) and Marine biodiversity, exploitation and conservation (France).
This project aims to address three scientific challenges: (1) combining or hybridizing AI techniques to improve the accuracy and precision of biodiversity indicators; (2) developing indicators, at multiple scales, that capture the various aspects of health and pressures on marine ecosystems; and (3) integrating them into an AI model capable of explaining and predicting the spatio-temporal dynamics of marine biodiversity in case studies. The AIME project will provide valuable tools to support decision-making in management strategies for coastal marine ecosystems.
In this project Jihad Zahir and Marie Bonnin are coordinating a WP on the use of artificial intelligence to assess the potential of environmental law for the protection of marine ecosystems.