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Automating Hypothesis Tree Generation for Early Pandemic Detection through Knowledge Graph Construction and Large Language Models
This project aims to automate the early detection of pandemics by constructing knowledge graphs from open-source data, by providing direct enhancement to an important R&D project, the Health Emergency Monitoring (HEM) tool, of the partner organization. The research, when completed, will provide advanced AI capabilities (more specifically the incorporation of state-of-art LLM), and reduce the need for inputs from human experts.
Faculty Supervisor:
Simone Brugiapaglia
Student:
Partner:
OODA Technologies Inc
Discipline:
Mathematics
Sector:
Professional, scientific and technical services
University:
Concordia University
Program:
Accelerate
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