A refined large language model for information aggregation and generation of high-integrity scientific information on the environment. EnvironmentGPT will be trained using authoritative data sources from the IPCC, IPBES, GEO, and scientific papers and reports about the climate and interconnected topics. The vision is to develop a digital public good that will distil the world’s environmental science to support environmental managers/practitioners, decision-makers, scientists, and specialists.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsUNEP’s Digital Accelerator Lab houses 20 cutting-edge digital tools, including one that allows users to track the health of rivers, lakes, and aquifers. The Lab showcases AI-powered solutions, digital prototypes, reports, and resources to improve environmental data management and use. It also provides funding, technical support, and user-centered design services, and is presented at major events to gather feedback, validate ideas, and raise awareness.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsInfrastructure/Systems DevelopmentThis 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/ExchangeThis project harnesses artificial intelligence to investigate past environmental change and future projections around humanitarian hotspots of displacement in Burundi, Chad and Sudan. The goal is to inform climate change adaptation measures and anticipatory action for integration in humanitarian programming.
Activity Type AI Tools/SolutionsResearch/Reports/Assessments