International Trade

Effects of Supply Chain Bottlenecks on Prices using Textual Analysis

Demonstrating relationship between textual analytics sentiment and output prices during global supply chain bottlenecks.

Bill of Lading Data in International Trade Research with an Application to the COVID-19 Pandemic

Harnessing big data techniques to analyze bill of lading data for timely international trade indicators.

Public policymaking for international agricultural trade using association rules and ensemble machine learning

AI methods to improve analysis of black swan events in international trade.

Graph Neural Networks for Modeling Causality in International Trade

Novel graph neural network method to model worldwide trade in the context of a network graph to predict trade unit value.

Artificial Intelligence Methods for Evaluating Global Trade Flows

Ensemble machine learning and association rules mining to improve agricultural trade during outlier events.