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

Project - Summary


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.


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.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Wenwen Dou PI (704) 414-0848 University of North Carolina at Charlotte
Rick Hudson Co-PI N/A University of North Carolina at Charlotte
Rick Myskey Project Mentor N/A USAGC
Funded by: USAGC

Project - Novelty of Approach

The project team will collaborate closely with subject matter experts and target users throughout the project in order to produce a set of validated analysis methods and a well-designed visualization dashboard that directly benefit the target users and their organizations.

Project - Deliverables

1 Successful extraction of sentiment, emotion, and geospatial information from the collected data
2 An interactive prototype that will be shared with the sponsor
3 Delivering an interactive visualization dashboard developed in the ESRI geospatial portal
4 Providing demos, presentations, and training to use the visualization dashboard

Project - Benefits to IAB

The platform will contribute to anticipatory public health informatics frameworks to inform operational and strategic commands, thus enhancing Department of Defense decision-making capabilities.

Project - Documents

projects/year9/9a.027.uncc.txt · Last modified: 2021/05/20 10:27 by sally.johnson