@inproceedings{fdi:010094537,
  title = {{AI} and decision support for sustainable socio-ecosystems},
  author = {{J}usteau-{A}llaire, {D}imitri},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he conservation and the restoration of biodiversity, in accordance with human well-being, is a necessary condition for the realization of several {S}ustainable {D}evelopment {G}oals. {H}owever, there is still an important gap between biodiversity research and the management of natural areas. {T}his research project aims to reduce this gap by proposing spatial planning methods that robustly and accurately integrate socio-ecological issues. {A}rtificial intelligence, and notably {C}onstraint {P}rogramming, will play a central role and will make it possible to remove the methodological obstacles that prevent us from properly addressing the complexity and heterogeneity of sustainability issues in the management of ecosystems. {T}he whole will be articulated in three axes: (i) integrate socio-ecological dynamics into spatial planning, (ii) rely on adequate landscape metrics in spatial planning, (iii) scaling up spatial planning methods performances. {T}he main study context of this project is the sustainable management of tropical forests, with a particular focus on {N}ew {C}aledonia and {W}est {A}frica.},
  keywords = {{NOUVELLE} {CALEDONIE} ; {AFRIQUE} {DE} {L}'{OUEST}},
  numero = {},
  pages = {6370--6377},
  booktitle = {{P}roceedings of the {T}hirty-{S}econd {I}nternational {J}oint {C}onference on {A}rtificial {I}ntelligence ({IJCAI}-23)},
  year = {2023},
  DOI = {10.24963/ijcai.2023/707},
  URL = {https://www.documentation.ird.fr/hor/fdi:010094537},
}