Geo Event

Geo-event analysis focuses on understanding the causes and consequences of geographically significant events, aiming to model their complex interdependencies and predict their impacts. Current research employs causal inference techniques, such as deep neural networks and Granger causality, to identify key drivers and quantify the effects of these events, particularly on economic sectors like energy markets. This research is crucial for improving forecasting models and informing policy decisions by providing a more nuanced understanding of the cascading effects of geopolitical instability and other significant geographic occurrences.