Knowledge Graphs for Scalable Data Integration in Global Health

In this seminar, Hailey Robertson, research analyst and data engineer in the Data Lab  at the Georgetown University Center for Global Health Science and Security, presented the results of a project to integrate diverse datasets to support end-to-end modeling between human and animal systems using knowledge graphs. Robertson discussed the process for developing an ontology to organize multisource data and for building the knowledge graph. She shared how the knowledge graph supports a One Health approach to the prediction and detection of zoonoses, presenting a use case focused on highly pathogenic avian influenza. This research was conducted in collaboration with colleagues at the Cary Institute of Ecosystem Studies  and the University of Georgia Center for the Ecology of Infectious Diseases .

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Hailey Robertson is a research analyst and data engineer in the Data Lab at the Center for Global Health Science and Security at Georgetown University. Robertson’s research draws from public health, disease ecology, and computer science to address challenges related to spillover risk and outbreak detection, decision-making for emergency response, and data-sharing in global health. She has a Bachelor of Science degree in global health from the University of Southern California.