Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Quantifying Uncertainty in Integrated Catchment Studies (QUICS) was an EU funded FP7 Marie Curie Initial Training Network (ITN) which ran for 4 years, starting in 2014.

The emphasis is on models described by PDEs and their numerical solution. Procedures and results from all aspects of verification and validation are integrated with modern methods in uncertainty ...

AT A GLANCE · Uncertainty is difficult to quantify. The effect the Federal Reserve’s actions to fight inflation may take in the coming year is a recent stark example · With heightened ...

The QUEST Research Coordination Network is dedicated to advancing uncertainty analysis in ecosystem studies. Efforts focus on outreach and research on quantifying uncertainty in five topic areas: ...

Dr. Doostan's research team is focused on the development of novel theories and numerical tools to rigorously tackle several grand challenges associated with Uncertainty Quantification (UQ) and ...

So, sometimes the method used to control uncertainty gets in the way of the intended result. Daisy Chistodoulou paraphrases Goodhart’s Law to explain this: “when a measure becomes a target ...

Primers to key technical aspects of nuclear thermal hydraulics. Identifying the sources of uncertainty in model inputs, and how to validate the outputs. Methods to quantify uncertainty in model ...

The Hierarchical Interaction Network (HINT) has previously been a leading model in clinical trial approval predictions, but ...