[Topic] Uncertainty quantification

[aranas]

Topic Uncertainty quantification: How is uncertainty measured, how do you validate it, how is it used?

How is the topic relevant to the tric-dt themes? This topic came up in several conversations, whether in the context of polar route planning in challenging environments and with uncertainties (e.g., unpredictable weather conditions, sea ice movements), or uncertainty caused by sparse data in Health, where there can be large variability between different patient models.

How does it relate to the wider topic of digital twinning? Uncertainty quantification is key in digital twin technology for more accurate and reliable predictions and simulations, which is crucial for making informed decisions.

Suggested speakers or contributors Sampling from distribution using emulators

Any resources you can recommend on this topic?

What format do you think would serve this topic best? seminar series

[aranas]

came up a lot in different contexts: @clindleyd with statistical learning theory Martina Strocchi when working with sparse data Ziad mentioning uncertainty propagation as sub-part of the knowledge graph work