Wing Kam Liu* and Wei Chen, Northwestern University ... - SAMSI

Uncertainty Sources and Quantification
Inherent structural variation (batch to batch randomness, random field)
Uncertain multiscale boundary and initial conditions
Random parameters determined by experiment or behavior at other scales
Lack of knowledge, lack of information
Low fidelity physical descriptions
Sparse and limited experimental data
Missing models and/or data for sub-processes
Simulation and approximation errors
Discretization and finite sampling errors
Solver errors
Statistical modeling and representations
Model Complexity
STOCHASTIC PDE’s
Interactions between different sources of errors and uncertainty
Uncertainty feedback in coupled processes