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Organizing Committee
University of Southern California
Brown University
Brown University
University of Barcelona
Abstract
Rapid growth in computational resources has heightened the expectation that scientific knowledge can indeed be a driver for societal well-being and betterment. At the same time, our ability to measure the natural and social world around has significantly increased, aided by technological development in sensors, the internet, and other modalities of communication. Science is thus faced, simultaneously, with a complex description of reality at an unprecedented resolution, and the possibility to describe this reality with mathematical models of increasing complexity. Probabilistic formulations of physical problems can be viewed as attempts to adapt rational procedures to this complexity, while tackling the conceptual challenges they inevitably present. As a testament to the significance of this confluence of mathematics, science, and technology, Uncertainty Quantification is arguably one of the fastest growing sub-disciplines in mechanics.
The communities of computational science, stochastic analysis, and statistics have evolved largely along distinct paths. To forge ahead, however, in the direction of transformative scientific impact, requires symbiotic exchange and collaboration. It is the intent of this workshop on Uncertainty Quantification to bring together leading researchers in these three fields in order to delineate new horizons and forge new synergies that will accelerate the evolution of UQ capabilities to become an enabler of scientific and economic progress.
The communities of computational science, stochastic analysis, and statistics have evolved largely along distinct paths. To forge ahead, however, in the direction of transformative scientific impact, requires symbiotic exchange and collaboration. It is the intent of this workshop on Uncertainty Quantification to bring together leading researchers in these three fields in order to delineate new horizons and forge new synergies that will accelerate the evolution of UQ capabilities to become an enabler of scientific and economic progress.
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Workshop Schedule
Tuesday, October 09, 2012
8:30 - 8:55 AM EDT
Registration & Welcome Coffee
Location: 11th Floor Collaborative Space
8:55 - 9:00 AM EDT
Welcome - Jill Pipher, ICERM Director
Location: 11th Floor Lecture Hall
9:15 - 10:00 AM EDT
Introduction to UQ. A Tutorial - Roger Ghanem, University of Southern California
Location: 11th Floor Lecture Hall
10:00 - 10:30 AM EDT
Coffee/Tea Break
Location: 11th Floor Collaborative Space
12:00 - 2:00 PM EDT
Break for Lunch
3:30 - 4:00 PM EDT
Coffee/Tea Break
Location: 11th Floor Collaborative Space
5:00 - 6:30 PM EDT
Welcome Reception
Location: 11th Floor Collaborative Space
Tutorial Week Schedule
Monday, October 01, 2012
11:00 AM - 12:00 PM EDT
Introduction to Uncertainty Quantification I - A. Narayan, University of Massachusetts Dartmouth
Location: 11th Floor Lecture Hall
3:30 - 4:00 PM EDT
Coffee/Tea Break
Location: 11th Floor Collaborative Space
Tuesday, October 02, 2012
11:00 AM - 12:00 PM EDT
Bacterial chemotaxis and coalescing diffusions - Ibrahim Fatkullin, University of Arizona
Location: 11th Floor Lecture Hall
3:30 - 4:00 PM EDT
Coffee/Tea Break
Location: 11th Floor Collaborative Space
4:00 - 5:00 PM EDT
Professional Development Seminar: Hiring Process
Location: 11th Floor Lecture Hall
Wednesday, October 03, 2012
11:00 AM - 12:00 PM EDT
Introduction to Uncertainty Quantification II - A. Narayan, University of Massachusetts Dartmouth
Lecture Videos
Daniel Tartakovsky
University of California, San Diego
October 11, 2012 • 12:00 AM
Didier Lucor
Universite de Paris VI (Pierre et Marie Curie)
October 11, 2012 • 12:00 AM
Youssef Marzouk
Massachusetts Institute of Technology
October 9, 2012 • 12:00 AM
Peter Kloeden
Johann Wolfgang Goethe-Universität Frankfurt
October 10, 2012 • 12:00 AM
