Project Overview
This project provides a methodology and theory development that spans the information ecology, dis/mis-information, and human risk behavior in the context of COVID-19. The primary methods use computational models of psychological and cognitive processes, dis/mis-information propagation detection, natural language processing techniques and agent-based modeling to provide a forecasting tool for exploring what-if scenarios and situational assessment.
Team
This is a collaborative project with additional team members from Carnegie Mellon and the Institute for Human and Machine Cognition.