UNEP

United Nations Environment Programme

20
Activities on AI
35
Countries

About UNEP

The United Nations Environment Programme (UNEP) is the leading global environmental authority that sets the global environmental agenda, promotes the coherent implementation of the environmental dimension of sustainable development within the United Nations system, and serves as an authoritative advocate for the global environment.

Activities by UNEP

UNEP
Identifying the potential applications of Artificial Intelligence for Disaster Management
Africa, Asia and the Pacific, Latin America and the Caribbean EthiopiaHaitiIndiaIndonesiaUganda

This project is aimed at the current state of play on the applications of 4IR technologies for disaster management and identifies opportunities and partners to promote these technologies for environmental emergency response in the future. The project includes conducting a comprehensive literature review, identifying research and technology partners, and preparing a training program on the potential applications of 4IR technologies.

Activity Type Research/Reports/AssessmentsNetworks/Mentorship/Exchange
UN-HabitatUNEP
Hola ISUD plan (Integrated Strategic Urban Development Plan for Hola Town, Tana River County, Kenya).
Africa Kenya

This project, part of the "Go Blue project," used AI, specifically machine learning, for remote sensing to extract land cover information from satellite imagery to prepare an integrated strategic urban development plan for Hola Town, Kenya. It used open-source datasets from AI processes to fill data gaps.

Activity Type Research/Reports/AssessmentsTechnical assistance
ITUWMOUNEP
Focus Group AI for Natural Disaster Management (FG-AI4NDM)
Global

This Focus Group laid the groundwork for best practices in the use of AI for natural disaster management, including data collection, modeling, and communication. It concluded its work in 2024.

Activity Type Policy/Regulatory GuidanceResearch/Reports/Assessments
UNEP
Predictive analytics to support governments in transforming food systems (TEEBAgriFood)
Africa, Asia and the Pacific, Latin America and the Caribbean BrazilChinaIndiaIndonesiaMexicoThailandMalaysiaColombiaKenyaTanzania

This project catalyzes the use of predictive analytical tools to support governments in transforming food systems. It allows decision makers to compare future policy intervention options in the food system, illuminating the full impacts of a policy decision on natural, social, human and produced capital. Modeling techniques and tools are becoming more efficient through machine learning and the use of Earth Observations.

Activity Type Policy/Regulatory GuidanceResearch/Reports/Assessments