Low adoption of agricultural technologies holds large productivity consequences for developing countries. Agricultural extension services counter information failures by deploying external agents to communicate with farmers. However, social networks are recognized as the most credible source of...

In order to induce farmers to adopt a productive new agricultural technology, we apply simple and complex contagion diffusion models on rich social network data from 200 villages in Malawi to identify seed farmers to target and train on the new technology. A randomized controlled trial compares...