Using earnings call textual analysis to measure how supply chain bottlenecks translated into price increases during the post-COVID period.
Evaluating high-frequency shipping data as a real-time trade indicator, with applications to tracking COVID-19's impact on U.S. trade.
AI methods to improve analysis of black swan events in international trade.
Novel graph neural network method to model worldwide trade in the context of a network graph to predict trade unit value.
Ensemble machine learning and association rules mining to improve agricultural trade during outlier events.