Assuring AI methods for economic policymaking
Highlighting the methods needed to assure that ML and AI models are explainable, fair, and bias-free.
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.
Structure and evolution of ENTH and VHS/ENTH-like domains in tepsin
Study of the trans-Golgi network proteins to better understand membrane trafficking.
Security, Trust, and Child Health in Kyrgyzstan, 2010-2012.
Using cross-sectional regressions and panel regressions to study the effects of child health on the population of Krygyzstan during …
Structure Determination of the VHS-Like Domain of Tepsin
Using protein x-ray crystallography, the structure of VHS-like domain of Tepsin is determined.
