Leveraging Artificial Intelligence to Enhance Early Action towards the Kunming-Montreal Global Biodiversity Framework
- ์ ์
- Nicole DeSantisLea PhillipsChristina SupplesJulien PigotJamison ErvinDoley TsheringJuan Calles LopezDharshani SeneviratneEnrique PaniaguaMonica Mora
- ๋จ์ฒด ์ ์
- United Nations Development Programme (UNDP)
- ํํ์ฌํญ
- 34 p.
- ์๋ ์ธ์ด
- ์์ด
- ๋ฐํ ์ฐ๋
- 2024
- ํค์๋
- Sustainable developmentInformation and communications technologyBiodiversityCapacity developmentEcosystem
- ์๋ฃ ์ ํ
- ์ฐ๊ตฌ ๋ณด๊ณ ์ / ํ์ ๋ ผ๋ฌธ
- ๊ต์ก ๋จ๊ณ
- ์์ ์ ๋ณด์กยท๊ต์ก์ด๋ฑ๊ต์ก์ค๋ฑ๊ต์ก๊ณ ๋ฑ๊ต์กํ์๊ต์ก๊ธฐ์ ยท์ง์ ๊ต์กํ๋ จ๋นํ์๊ต์ก
- ์ง์ญ
- ์ ์ธ๊ณ
- ์ถํ์ง์ญ
- 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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