Understanding Nature-Based Solutions through Natural Language Processing and Machine Learning
NbS can help societies and ecosystems adapt to drastic changes in the climate and mitigate the adverse impacts of such changes.
Nature-based solutions (NbS) harness nature to tackle environmental challenges that affect human society, such as climate change, water insecurity, pollution, and declining food production. NbS can also help societies and ecosystems adapt to drastic changes in the climate and mitigate the adverse impacts of such changes through, for example, growing trees in rural areas to boost crop yields and lock water in the soil. Although many organizations have investigated the effectiveness of NbS, these solutions have not yet been analyzed to the full extent of their potential.
In order to analyze such NbS approaches in greater detail, World Resources Institute (WRI) partnered with Omdena to better understand how regional and global NbS, such as forest and landscape restoration, can be leveraged to address and reduce climate change impacts across the globe.
In an attempt to identify and analyze such approaches, we investigated three main platforms that bring organizations together to promote initiatives that restore forests, farms, and other landscapes and enhance tree cover to improve human well-being: