UNEP has been developing a ML/NLP tool to identify and score concepts in textual data (policies, project reports, speeches, academic papers, news) that can provide insights on progress, obstacles, and opportunities on SDGs. The "SDG-meter" is a web platform based on the deep learning - natural language processing algorithm (BERT), that can analyze any text to rate its relation to each of the 17 SDGs.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsU4SSC is a global UN collaboration that supports cities in advancing the SDGs by promoting people-centered, digitally inclusive, and climate-resilient urban development. It provides guidance on integrating ICTs and AI into city operations and has developed a globally recognized set of KPIs for smart sustainable cities, implemented in more than 250 cities worldwide.
Activity Type Research/Reports/AssessmentsPolicy/Regulatory GuidanceAwareness/AdvocacyNetworks/Mentorship/ExchangeThis 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/AssessmentsThis project works with communities along Asian rivers to map where and how plastic waste is entering the waterways. It uses citizen science alongside drone imaging, machine learning, and GIS algorithms to identify plastic waste hotspots to help find how plastic is leaking into rivers.
Activity Type Research/Reports/AssessmentsAI Tools/Solutions