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Attend a comprehensive workshop on digital twins featuring world-leading researchers addressing foundational aspects and key application areas. Explore Bayesian inference for intractable simulators, irregular posteriors of geophysical digital twins, and other cutting-edge topics in data-driven engineering. Learn from expert speakers including Sebastian Schmon from the University of Durham, Sally Cripps from CSIRO and the University of Sydney, and Dev Niyogi from the University of Texas at Austin. Gain valuable insights into the mathematical and statistical foundations of future data-driven engineering in this satellite event for the Isaac Newton Institute's programme. Benefit from the generous support of The Alan Turing Institute in this nearly two-hour session aimed at advancing digital twin research and disseminating knowledge to stakeholders in the UK and abroad.