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