Leveraging Artificial Intelligence to Enhance Early Action towards the Kunming-Montreal Global Biodiversity Framework

作者: Nicole DeSantis Lea Phillips Christina Supples Julien Pigot Jamison Ervin Doley Tshering Juan Calles Lopez Dharshani Seneviratne Enrique Paniagua Monica Mora

机构作者: United Nations Development Programme (UNDP)

载体形态: 34 p.

资源语言: 英语

出版年份: 2024

关键词: Sustainable development Information and communications technology Biodiversity Capacity development Ecosystem

主题: 可持续发展 / 可持续性媒体与信息素养 / 数字公民身份

资源类型: 研究论文 / 学术期刊文章

教育阶段: 幼儿保育和教育初等教育中等教育高等教育终身学习技术和职业教育与培训非正规教育

地区: 全球

出版地: New York

This publication releases the methodology behind the National Biodiversity Strategies and Action Plans (NBSAP) Target Similarity Assessments and identifies key lessons learned and opportunities for future applications.

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Leveraging Artificial Intelligence to Enhance Early Action towards the Kunming-Montreal Global Biodiversity Framework

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