The sheer scale of global development aid projects and funding can be almost impenetrable for researchers and policymakers to derive broad trends, let alone specific topics. This machine learning analysis looks at 3.2 million separate aid activities over the past two decades to find clusters and categories for better targeting of development funds.
- Malte Toetzke
- Nicolas Banholzer
- Stefan Feuerriegel