Biography
Prashant Garg is an Economics PhD candidate at Imperial College London and an Associate Fellow at INET, Oxford. His research lies at the intersection of economics, computer science, and network science, with a focus on measurement, political economy, and the use of large-scale text and network data to study economic behaviour. He works extensively with large language models to extract and analyse causal claims, institutional narratives, and innovation processes from unstructured sources such as academic papers, policy documents, and firm-level disclosures. His work spans topics including scientific polarisation, causal reasoning in economics, production networks, and the political economy of climate and technological change.
