escience2019 has ended
Thursday, September 26 • 3:48pm - 4:06pm
Towards Building a Converged Infrastructure for Multi-Disciplinary eScience

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Despite significant methodological success, eScience, an approach that utilizes computational and often data operations to explore, analyze and find solutions to science problems, has mostly remained stovepiped. While new solutions have indeed advanced respective science disciplines, there has been surprisingly little cross-fertilization of methods, models, and infrastructure across discipline boundaries. One reason for this that every discipline needs its own custom problem formulation, model representation, and solution strategies that are hard to generalize to other disciplines. In this talk, we present the idea that future eScience will be backed by the idea of a “semantic model commons” -- a repository of semantically annotated mathematical and computational models and associated computational modules that can be shared, repurposed, and customized by escientists who work in different science communities. To illustrate the possibilities, we consider the phenomenon of material, disease and information propagation and the forces that control, accelerate, hinder and alter the dynamics of propagation, and sketch how a converged model infrastructure can support this cross-discipline eScience and yet benefit each discipline.


Amarnath Gupta

University of California San Diego

Thursday September 26, 2019 3:48pm - 4:06pm
Toucan Room