A very short introduction to Uncertainty Quantification (UQ)
Seminar Room 1, Newton Institute
A summary of the roots of UQ is given and some reasons as to why it has become one of the most important catch-all areas of methodology. Perhaps the main reason for its importance is the need to take decisions in a world perceived to be increasingly full of risks. There are strong roots in engineering, discussed in the following two talks. Statistics must be the key discipline but other forms of inference need considerations and are briefly discussed. For products, processes and decisions, more generally, robustness is a key idea and achieving targets while minimising variability is a concept found in many fields associated with UQ.