Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Santos, M. R. C. & Carvalho, L. C. (2025). AI-driven participatory environmental management: Innovations, applications, and future prospects. Journal of Environmental Management. 373
Exportar Referência (IEEE) 
M. R. Santos and C. L. Cagica,  "AI-driven participatory environmental management: Innovations, applications, and future prospects", in Journal of Environmental Management, vol. 373, 2025
Exportar BibTeX 
@article{santos2025_1744889859115,
	author = "Santos, M. R. C. and Carvalho, L. C.",
	title = "AI-driven participatory environmental management: Innovations, applications, and future prospects",
	journal = "Journal of Environmental Management",
	year = "2025",
	volume = "373",
	number = "",
	doi = "10.1016/j.jenvman.2024.123864",
	url = "https://www.sciencedirect.com/journal/journal-of-environmental-management"
}
Exportar RIS 
TY  - JOUR
TI  - AI-driven participatory environmental management: Innovations, applications, and future prospects
T2  - Journal of Environmental Management
VL  - 373
AU  - Santos, M. R. C.
AU  - Carvalho, L. C.
PY  - 2025
SN  - 0301-4797
DO  - 10.1016/j.jenvman.2024.123864
UR  - https://www.sciencedirect.com/journal/journal-of-environmental-management
AB  - The rapid advancement of Artificial Intelligence (AI) presents unprecedented opportunities for participatory environmental management. This paper explores the integration of AI technologies into participatory approaches, which engage diverse stakeholders in environmental decision-making processes. Using artificial intelligence, a corpus of 80 papers was compiled and subsequently analyzed with text mining tools. By identifying and systematizing academics’ contributions to knowledge about AI-driven tools, this study also discusses the challenges and ethical considerations inherent in AI deployment, emphasizing the need for transparent, equitable, and accountable AI systems. Looking ahead, we outline future prospects for AI in participatory environmental management, focusing on the potential for AI to foster adaptive management strategies, enhance stakeholder collaboration, and support sustainable development goals.
ER  -