Case study card:
Identify economic and financial incentives for forest restoration with NLP
In this two-month project with World Resources Institute, we applied Natural Language Processing (NLP) to identify economic and financial incentives for forest and landscape restoration.
The project focused on Latin America (Mexico, Peru, Chile, Guatemala and El Salvador).
NGO - climate
World Resources Institute