Real-time Public Health Events Identification, Analysis, and Visualization from Social Media Data – 9a.027.UNCC

Project Start Date: Aug 1, 2020
Research Areas: Analytics, Visualization
Funding: Member Funded
Project Tags: ,

Project Summary

The objective of this proposed project will be to support the Systems Applications and Integration Branch (SAIB) in: (1) enhancing the collection of large volume of geographic/location specific data from a variety of social media platforms and (2) leverage Artificial Intelligence techniques to expand technical abilities to extract, exploit, and visualize the emerging trends related to public health events that would otherwise lie hidden in the large and unstructured data repository. The outcome of the proposed project will be a web-based visualization platform integrated with Artificial Intelligence techniques to support the identification and visualization of the population health in critical areas of interest. The platform will contribute to anticipatory public health informatics frameworks to inform operational and strategic commands, thus enhancing Department of Defense decision-making capabilities.


Principal Investigator(s)