Mis à jour le 05/01/23

The objectives of IDEAL are

1/ To foster interdisciplinary research and promote knowledge syntheses and applications bridging concepts, methods and multidisciplinary data in agroecology, biodiversity, hydrology, and social sciences. To do so, we will apply Artificial Intelligence (AI) and Data Science (DS) to depict current socio-ecological conditions from large datasets and co-construct models of adaptive transformation pathways towards sustainable agroecological landscapes in the Brazilian Nordeste;

2/ To offer academic training and scientific exchange programs on AI and DS applied to Sustainability Sciences. We will organize seminars, thematic schools, and training via ITAN, the IDEAL Transformative Adaptation Network that will connect institutions and territories facing similar challenges;

3/ To strengthen the international visibility of Brazilian research teams with cutting-edge publications, open source demonstrators, and FAIR data supporting stakeholders, governments, and communities in socio-ecological transitions.



    Responsables du projet - co-leaders

    • Brésil : Rafael L.G. RAIMUNDO, Universidade Federal da Paraiba (UFPB)
    • France : Laure BERTI-EQUILLE, IRD – UMR ESPACE-DEV (Espace pour le développement)

    Institutions étrangères impliquées

    • Universidade Federal da Paraiba (UFPB)
    • Escola Politécnica - Universidade de São Paulo (EPUSP)
    • Federal University of Rio Grande do Norte, Brazil (UFRN)
    • GBIF (Brésil)
    • INCT ODISSEIA - University of Brasilia (UnB), Brazil
    • INCT OndaCBC - Federal University of Pernambuco (UFPE), Brazil
    • Chico Mendes Institute for Biodiversity Conservation, Brazil (CEMAVE)
    • FUNCEME (Fondation de l’État brésilien du Ceará de Météorologie et Ressources en Eau), Brazil 

    UMR impliquées - Partners

    • UMR IRD n°228 – Espace pour le développement (ESPACE-DEV) – Université de Montpellier / IRD / Université des Antilles / Université de Guyane / Université de la Réunion
    • UMR IRD n°237 – Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE) – Aix-Marseille Université / IRD / Université d’Avignon
    • UMR IRD n°208 – Patrimoines locaux, environnement et globalisation (PALOC) – MNHN / IRD
    • UMR IRD n°209 – Unité de modélisation mathématique et informatique des systèmes complexes (UMMISCO) – Sorbonne Université / IRD


    • Agroecology, Artificial Intelligence, Earth Observation, Information science, Sociology


    • Anthropocene, Coviability, Biodiversity, e-science, Governance

    Période de réalisation

    • 2023-2027