STEM: How to use Eclipse and mathematics to fight the coming global pandemic.

Daniel Ford

Eclipse Ecosystem - Other · Short - 25 minutes
Tuesday, 10:10, 25 minutes | Room 203/204

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The Spatio-Temporal Epidemiological Modeler (STEM) is an Eclipse based RCP for modeling the global spread of infectious disease. STEM is a component of the Eclipse Open Healthcare Framework http://www.eclipse.org/ohf/components/stem/ and is designed to allow global collaboration on the development of infectious disease models. It embodies a flexible "graph based" representational framework that allows models to be composed from different components provided by different researchers. It also includes extensive data sets that represent the entire political geography of the planet (244 countries) as well as sophisticated mathematical models for predicting disease propagation. STEM also integrates internal views for geographic visualization and as well as offering interfaces to Google Earth. Scenarios can be created using drag-and-drop editors and can include Models that incorporate different layers of abstraction, for instance it can layer economic models "over top" of disease models. Public policy interventions can be modeled in STEM through the use of a conditional "trigger" mechanism that tests for conditions in a simulation and then changes some aspect of the Simulation's state as a result (e.g., close an airport). STEM is a very general system and is designed and implemented to allow for other types of simulation scenarios including disaster planning and recovery, military planing and infrastructure deployment. An interesting aspect of STEM is that it can run "simulations" in real-time and integrate them with data from external sources to create systems that provide situational awareness. This talk will introduce STEM, demonstrate its application to pandemic disease modeling and discuss its implementation and applicability to other domains.
Daniel Ford is currently a Research Staff Member in the Department of Computer Science at the IBM Almaden Research Center in California. His immediate research interest is the application of information technology and mathematics to the threat of a global pandemic event. He is leading the creation of STEM (Spatio-temporal Epidemiological Modeler), an open source platform for the development of sophisticated global scale epidemiological models. STEM is part of the Eclipse Open Healthcare Framework (OHF) (http://www.eclipse.org/ohf/components/stem). Daniel earned a Ph.D. in Computer Science from the University of Waterloo in 1992.

This session is part of the curated collection of short talks titled
"Eclipse In Action"

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